essay about effective learning

What Is Learning? Essay about Learning Importance

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What Is learning? 👨‍🎓️ Why is learning important? Find the answers here! 🔤 This essay on learning describes its outcomes and importance in one’s life.

Introduction

• The Key Concepts

Learning is a continuous process that involves the transformation of information and experience into abilities and knowledge. Learning, according to me, is a two way process that involves the learner and the educator leading to knowledge acquisition as well as capability.

It informs my educational sector by making sure that both the students and the teacher participate during the learning process to make it more real and enjoyable so that the learners can clearly understand. There are many and different learning concepts held by students and ways in which the different views affect teaching and learning.

What Is Learning? The Key Concepts

One of the learning concept held by students is, presentation of learning material that is precise. This means that any material that is meant for learning should be very clear put in a language that the learners comprehend (Blackman & Benson 2003). The material should also be detailed with many examples that are relevant to the prior knowledge of the learner.

This means that the learner must have pertinent prior knowledge. This can be obtained by the teacher explaining new ideas and words that are to be encountered in a certain field or topic that might take more consecutive lessons. Different examples assist the students in approaching ideas in many perspectives.

The learner is able to get similarities from the many examples given thus leading to a better understanding of a concept since the ideas are related and linked.

Secondly, new meanings should be incorporated into the students’ prior knowledge, instead of remembering only the definitions or procedures. Therefore, to promote expressive learning, instructional methods that relate new information to the learner’s prior knowledge should be used.

Moreover, significant learning involves the use of evaluation methods that inspire learners to relate their existing knowledge with new ideas. For the students to comprehend complex ideas, they must be combined with the simple ideas they know.

Teaching becomes very easy when a lesson starts with simple concepts that the students are familiar with. The students should start by understanding what they know so that they can use the ideas in comprehending complex concepts. This makes learning smooth and easy for both the learner and the educator (Chermak& Weiss 1999).

Thirdly, acquisition of the basic concepts is very essential for the student to understand the threshold concepts. This is because; the basic concepts act as a foundation in learning a certain topic or procedure. So, the basic concepts must be comprehended first before proceeding to the incorporation of the threshold concepts.

This makes the student to have a clear understanding of each stage due to the possession of initial knowledge (Felder &Brent 1996). A deeper foundation of the study may also be achieved through getting the differences between various concepts clearly and by knowing the necessary as well as the unnecessary aspects. Basic concepts are normally taught in the lower classes of each level.

They include defining terms in each discipline. These terms aid in teaching in all the levels because they act as a foundation. The stage of acquiring the basics determines the students’ success in the rest of their studies.

This is because lack of basics leads to failure since the students can not understand the rest of the context in that discipline, which depends mostly on the basics. For learning to become effective to the students, the basics must be well understood as well as their applications.

Learning by use of models to explain certain procedures or ideas in a certain discipline is also another learning concept held by students. Models are helpful in explaining complex procedures and they assist the students in understanding better (Blackman & Benson 2003).

For instance, in economics, there are many models that are used by the students so that they can comprehend the essential interrelationships in that discipline. A model known as comparative static is used by the students who do economics to understand how equilibrium is used in economic reason as well as the forces that bring back equilibrium after it has been moved.

The students must know the importance of using such kind of models, the main aspect in the model and its relationship with the visual representation. A model is one of the important devices that must be used by a learner to acquire knowledge. They are mainly presented in a diagram form using symbols or arrows.

It simplifies teaching especially to the slow learners who get the concept slowly but clearly. It is the easiest and most effective method of learning complex procedures or directions. Most models are in form of flowcharts.

Learners should get used to learning incomplete ideas so that they can make more complete ideas available to them and enjoy going ahead. This is because, in the process of acquiring the threshold concepts, the prior knowledge acquired previously might be transformed.

So, the students must be ready to admit that every stage in the learning process they get an understanding that is temporary. This problem intensifies when the understanding of an idea acquired currently changes the understanding of an idea that had been taught previously.

This leads to confusion that can make the weak students lose hope. That is why the teacher should always state clear similarities as well as differences of various concepts. On the other hand, the student should be able to compare different concepts and stating their similarities as well as differences (Watkins & Regmy 1992).

The student should also be careful when dealing with concepts that seem similar and must always be attentive to get the first hand information from the teacher. Teaching and learning becomes very hard when learners do not concentrate by paying attention to what the teacher is explaining. For the serious students, learning becomes enjoyable and they do not get confused.

According to Chemkar and Weiss (1999), learners must not just sit down and listen, but they must involve themselves in some other activities such as reading, writing, discussing or solving problems. Basically, they must be very active and concentrate on what they are doing. These techniques are very essential because they have a great impact to the learners.

Students always support learning that is active than the traditional lecture methods because they master the content well and aids in the development of most skills such as writing and reading. So methods that enhance active learning motivate the learners since they also get more information from their fellow learners through discussions.

Students engage themselves in discussion groups or class presentations to break the monotony of lecture method of learning. Learning is a two way process and so both the teacher and the student must be involved.

Active learning removes boredom in the class and the students get so much involved thus improving understanding. This arouses the mind of the student leading to more concentration. During a lecture, the student should write down some of the important points that can later be expounded on.

Involvement in challenging tasks by the learners is so much important. The task should not be very difficult but rather it should just be slightly above the learner’s level of mastery. This makes the learner to get motivated and instills confidence. It leads to success of the learner due to the self confidence that aids in problem solving.

For instance, when a learner tackles a question that deemed hard and gets the answer correct, it becomes the best kind of encouragement ever. The learner gets the confidence that he can make it and this motivates him to achieve even more.

This kind of encouragement mostly occurs to the quick learners because the slow learners fail in most cases. This makes the slow learners fear tackling many problems. So, the concept might not apply to all the learners but for the slow learners who are determined, they can always seek for help incase of such a problem.

Moreover, another concept held by students is repetition because, the most essential factor in learning is efficient time in a task. For a student to study well he or she should consider repetition, that is, looking at the same material over and over again.

For instance, before a teacher comes for the lesson, the student can review notes and then review the same notes after the teacher gets out of class. So, the student reviews the notes many times thus improving the understanding level (Felder & Brent 1996). This simplifies revising for an exam because the student does not need to cram for it.

Reviewing the same material makes teaching very easy since the teacher does not need to go back to the previous material and start explaining again. It becomes very hard for those students who do not review their work at all because they do not understand the teacher well and are faced by a hard time when preparing for examinations.

Basically, learning requires quite enough time so that it can be effective. It also becomes a very big problem for those who do not sacrifice their time in reviews.

Acquisition of the main points improves understanding of the material to the student. Everything that is learnt or taught may not be of importance. Therefore, the student must be very keen to identify the main points when learning. These points should be written down or underlined because they become useful when reviewing notes before doing an exam. It helps in saving time and leads to success.

For those students who do not pay attention, it becomes very difficult for them to highlight the main points. They read for the sake of it and make the teacher undergo a very hard time during teaching. To overcome this problem, the students must be taught how to study so that learning can be effective.

Cooperative learning is also another concept held by the students. It is more detailed than a group work because when used properly, it leads to remarkable results. This is very encouraging in teaching and the learning environment as well.

The students should not work with their friends so that learning can be productive, instead every group should have at least one top level student who can assist the weak students. The groups assist them in achieving academic as well as social abilities due to the interaction. This learning concept benefits the students more because, a fellow student can explain a concept in a better way than how the teacher can explain in class.

Assignments are then given to these groups through a selected group leader (Felder& Brent 1996). Every member must be active in contributing ideas and respect of one’s ideas is necessary. It becomes very easy for the teacher to mark such kind of assignments since they are fewer than marking for each individual.

Learning becomes enjoyable because every student is given a chance to express his or her ideas freely and in a constructive manner. Teaching is also easier because the students encounter very many new ideas during the discussions. Some students deem it as time wastage but it is necessary in every discipline.

Every group member should be given a chance to become the group’s facilitator whose work is to distribute and collect assignments. Dormant students are forced to become active because every group member must contribute his or her points. Cooperative learning is a concept that requires proper planning and organization.

Completion of assignments is another student held learning concept. Its main aim is to assist the student in knowing whether the main concepts in a certain topic were understood. This acts as a kind of self evaluation to the student and also assists the teacher to know whether the students understood a certain topic. The assignments must be submitted to the respective teacher for marking.

Those students who are focused follow the teacher after the assignments have been marked for clarification purposes. This enhances learning and the student understands better. Many students differ with this idea because they do not like relating with the teacher (Marton &Beaty 1993). This leads to very poor grades since communication is a very essential factor in learning.

Teaching becomes easier and enjoyable when there is a student- teacher relationship. Assignment corrections are necessary to both the student and the teacher since the student comprehends the right method of solving a certain problem that he or she could not before.

Lazy students who do not do corrections make teaching hard for the teacher because they make the other students to lag behind. Learning may also become ineffective for them due to low levels of understanding.

Acquisition of facts is still another student held concept that aims at understanding reality. Students capture the essential facts so that they can understand how they suit in another context. Many students fail to obtain the facts because they think that they can get everything taught in class or read from books.

When studying, the student must clearly understand the topic so that he or she can develop a theme. This helps in making short notes by eliminating unnecessary information. So, the facts must always be identified and well understood in order to apply them where necessary. Teaching becomes easier when the facts are well comprehended by the students because it enhances effective learning.

Effective learning occurs when a student possesses strong emotions. A strong memory that lasts for long is linked with the emotional condition of the learner. This means that the learners will always remember well when learning is incorporated with strong emotions. Emotions develop when the students have a positive attitude towards learning (Marton& Beaty 1993).

This is because they will find learning enjoyable and exciting unlike those with a negative attitude who will find learning boring and of no use to them. Emotions affect teaching since a teacher will like to teach those students with a positive attitude towards what he is teaching rather than those with a negative attitude.

The positive attitude leads to effective learning because the students get interested in what they are learning and eventually leads to success. Learning does not become effective where students portray a negative attitude since they are not interested thus leading to failure.

Furthermore, learning through hearing is another student held concept. This concept enables them to understand what they hear thus calling for more attention and concentration. They prefer instructions that are given orally and are very keen but they also participate by speaking. Teaching becomes very enjoyable since the students contribute a lot through talking and interviewing.

Learning occurs effectively because the students involve themselves in oral reading as well as listening to recorded information. In this concept, learning is mostly enhanced by debating, presenting reports orally and interviewing people. Those students who do not prefer this concept as a method of learning do not involve themselves in debates or oral discussions but use other learning concepts.

Learners may also use the concept of seeing to understand better. This makes them remember what they saw and most of them prefer using written materials (Van Rosum & Schenk 1984). Unlike the auditory learners who grasp the concept through hearing, visual learners understand better by seeing.

They use their sight to learn and do it quietly. They prefer watching things like videos and learn from what they see. Learning occurs effectively since the memory is usually connected with visual images. Teaching becomes very easy when visual images are incorporated. They include such things like pictures, objects, graphs.

A teacher can use charts during instruction thus improving the students’ understanding level or present a demonstration for the students to see. Diagrams are also necessary because most students learn through seeing.

Use of visual images makes learning to look real and the student gets the concept better than those who learn through imaginations. This concept makes the students to use text that has got many pictures, diagrams, graphics, maps and graphs.

In learning students may also use the tactile concept whereby they gain knowledge and skills through touching. They gain knowledge mostly through manipulative. Teaching becomes more effective when students are left to handle equipments for themselves for instance in a laboratory practical. Students tend to understand better because they are able to follow instructions (Watkins & Regmy 1992).

After applying this concept, the students are able to engage themselves in making perfect drawings, making models and following procedures to make something. Learning may not take place effectively to those students who do not like manipulating because it arouses the memory and the students comprehends the concept in a better way.

Learning through analysis is also another concept held by students because they are able to plan their work in an organized manner which is based on logic ideas only. It requires individual learning and effective learning occurs when information is given in steps. This makes the teacher to structure the lessons properly and the goals should be clear.

This method of organizing ideas makes learning to become effective thus leading to success and achievement of the objectives. Analysis improves understanding of concepts to the learners (Watkins & Regmy 1992). They also understand certain procedures used in various topics because they are sequential.

Teaching and learning becomes very hard for those students who do not know how to analyze their work. Such students learn in a haphazard way thus leading to failure.

If all the learning concepts held by students are incorporated, then remarkable results can be obtained. A lot information and knowledge can be obtained through learning as long as the learner uses the best concepts for learning. Learners are also different because there are those who understand better by seeing while others understand through listening or touching.

So, it is necessary for each learner to understand the best concept to use in order to improve the understanding level. For the slow learners, extra time should be taken while studying and explanations must be clear to avoid confusion. There are also those who follow written instructions better than those instructions that are given orally. Basically, learners are not the same and so require different techniques.

Reference List

Benson, A., & Blackman, D., 2003. Can research methods ever be interesting? Active Learning in Higher Education, Vol. 4, No. 1, 39-55.

Chermak, S., & Weiss, A., 1999. Activity-based learning of statistics: Using practical applications to improve students’ learning. Journal of Criminal Justice Education , Vol. 10, No. 2, pp. 361-371.

Felder, R., & Brent, R., 1996. Navigating the bumpy road to student-centered instruction. College Teaching , Vol. 44, No. 2, pp. 43-47.

Marton, F. & Beaty, E., 1993. Conceptions of learning. International Journal of Educational Research , Vol. 19, pp. 277-300.

Van Rossum, E., & Schenk, S., 1984. The relationship between learning conception, study strategy and learning outcome. British Journal of Educational Psychology , Vol. 54, No.1, pp. 73-85.

Watkins, D., & Regmy, M., 1992. How universal are student conceptions of learning? A Nepalese investigation. Psychologia , Vol. 25, No. 2, pp. 101-110.

What Is Learning? FAQ

• Why Is Learning Important? Learning means gaining new knowledge, skills, and values, both in a group or on one’s own. It helps a person to develop, maintain their interest in life, and adapt to changes.
• Why Is Online Learning Good? Online learning has a number of advantages over traditional learning. First, it allows you to collaborate with top experts in your area of interest, no matter where you are located geographically. Secondly, it encourages independence and helps you develop time management skills. Last but not least, it saves time on transport.
• How to Overcome Challenges in Online Learning? The most challenging aspects of distant learning are the lack of face-to-face communication and the lack of feedback. The key to overcoming these challenges is effective communication with teachers and classmates through videoconferencing, email, and chats.
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• Benefits of Online College
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• Taxonomy of Learning Objectives
• Importance of social interaction to learning
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• Chicago (A-D)
• Chicago (N-B)

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How Effective Is Online Learning? What the Research Does and Doesn’t Tell Us

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Editor’s Note: This is part of a series on the practical takeaways from research.

The times have dictated school closings and the rapid expansion of online education. Can online lessons replace in-school time?

Clearly online time cannot provide many of the informal social interactions students have at school, but how will online courses do in terms of moving student learning forward? Research to date gives us some clues and also points us to what we could be doing to support students who are most likely to struggle in the online setting.

The use of virtual courses among K-12 students has grown rapidly in recent years. Florida, for example, requires all high school students to take at least one online course. Online learning can take a number of different forms. Often people think of Massive Open Online Courses, or MOOCs, where thousands of students watch a video online and fill out questionnaires or take exams based on those lectures.

In the online setting, students may have more distractions and less oversight, which can reduce their motivation.

Most online courses, however, particularly those serving K-12 students, have a format much more similar to in-person courses. The teacher helps to run virtual discussion among the students, assigns homework, and follows up with individual students. Sometimes these courses are synchronous (teachers and students all meet at the same time) and sometimes they are asynchronous (non-concurrent). In both cases, the teacher is supposed to provide opportunities for students to engage thoughtfully with subject matter, and students, in most cases, are required to interact with each other virtually.

Coronavirus and Schools

Online courses provide opportunities for students. Students in a school that doesn’t offer statistics classes may be able to learn statistics with virtual lessons. If students fail algebra, they may be able to catch up during evenings or summer using online classes, and not disrupt their math trajectory at school. So, almost certainly, online classes sometimes benefit students.

In comparisons of online and in-person classes, however, online classes aren’t as effective as in-person classes for most students. Only a little research has assessed the effects of online lessons for elementary and high school students, and even less has used the “gold standard” method of comparing the results for students assigned randomly to online or in-person courses. Jessica Heppen and colleagues at the American Institutes for Research and the University of Chicago Consortium on School Research randomly assigned students who had failed second semester Algebra I to either face-to-face or online credit recovery courses over the summer. Students’ credit-recovery success rates and algebra test scores were lower in the online setting. Students assigned to the online option also rated their class as more difficult than did their peers assigned to the face-to-face option.

Most of the research on online courses for K-12 students has used large-scale administrative data, looking at otherwise similar students in the two settings. One of these studies, by June Ahn of New York University and Andrew McEachin of the RAND Corp., examined Ohio charter schools; I did another with colleagues looking at Florida public school coursework. Both studies found evidence that online coursetaking was less effective.

About this series

This essay is the fifth in a series that aims to put the pieces of research together so that education decisionmakers can evaluate which policies and practices to implement.

The conveners of this project—Susanna Loeb, the director of Brown University’s Annenberg Institute for School Reform, and Harvard education professor Heather Hill—have received grant support from the Annenberg Institute for this series.

To suggest other topics for this series or join in the conversation, use #EdResearchtoPractice on Twitter.

Read the full series here .

It is not surprising that in-person courses are, on average, more effective. Being in person with teachers and other students creates social pressures and benefits that can help motivate students to engage. Some students do as well in online courses as in in-person courses, some may actually do better, but, on average, students do worse in the online setting, and this is particularly true for students with weaker academic backgrounds.

Students who struggle in in-person classes are likely to struggle even more online. While the research on virtual schools in K-12 education doesn’t address these differences directly, a study of college students that I worked on with Stanford colleagues found very little difference in learning for high-performing students in the online and in-person settings. On the other hand, lower performing students performed meaningfully worse in online courses than in in-person courses.

But just because students who struggle in in-person classes are even more likely to struggle online doesn’t mean that’s inevitable. Online teachers will need to consider the needs of less-engaged students and work to engage them. Online courses might be made to work for these students on average, even if they have not in the past.

Just like in brick-and-mortar classrooms, online courses need a strong curriculum and strong pedagogical practices. Teachers need to understand what students know and what they don’t know, as well as how to help them learn new material. What is different in the online setting is that students may have more distractions and less oversight, which can reduce their motivation. The teacher will need to set norms for engagement—such as requiring students to regularly ask questions and respond to their peers—that are different than the norms in the in-person setting.

Online courses are generally not as effective as in-person classes, but they are certainly better than no classes. A substantial research base developed by Karl Alexander at Johns Hopkins University and many others shows that students, especially students with fewer resources at home, learn less when they are not in school. Right now, virtual courses are allowing students to access lessons and exercises and interact with teachers in ways that would have been impossible if an epidemic had closed schools even a decade or two earlier. So we may be skeptical of online learning, but it is also time to embrace and improve it.

A version of this article appeared in the April 01, 2020 edition of Education Week as How Effective Is Online Learning?

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Essay on Importance of Learning

Students are often asked to write an essay on Importance of Learning in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Importance of Learning

The value of learning.

Learning is a crucial part of our lives. It helps us understand the world, make informed decisions, and grow as individuals.

Knowledge and Skills

Learning equips us with knowledge and skills. It makes us competent and confident, enabling us to face challenges and solve problems.

Personal Growth

Learning stimulates personal growth. It encourages curiosity and creativity, fostering a lifelong love for exploration and discovery.

Building Connections

Learning helps us connect with others. It promotes empathy and understanding, strengthening our relationships and communities.

In conclusion, learning is essential for our development, success, and happiness.

250 Words Essay on Importance of Learning

The power of learning.

Learning is an integral part of human existence. It is a process that starts at birth and continues throughout our lives, shaping our understanding of the world and our place within it. Learning is not confined to the acquisition of knowledge in a formal education setting. It extends to our daily interactions, experiences, and the continuous process of personal and professional development.

Learning and Personal Growth

Learning is the cornerstone of personal growth and self-improvement. It broadens our perspectives, fosters curiosity, and encourages us to question the status quo. Our ability to learn and adapt is what has allowed humankind to evolve and progress over time. Learning cultivates critical thinking skills, enabling us to analyze situations, solve problems, and make informed decisions.

The Socio-economic Impact of Learning

Learning also plays a significant role in socio-economic development. Education equips individuals with the skills needed to contribute to the workforce effectively, thereby driving economic growth. Moreover, it promotes social cohesion by fostering a shared understanding of societal values and norms.

Learning and Technological Advancements

In the era of rapid technological advancements, the importance of learning cannot be overstated. With the advent of AI and automation, the job market is in a constant state of flux, and the ability to learn new skills is more crucial than ever. Lifelong learning is now a necessity, not a luxury.

In conclusion, learning is a powerful tool that not only enriches our personal lives but also contributes to societal progress. It is the key to unlocking our potential and adapting to the ever-changing world around us.

500 Words Essay on Importance of Learning

The essence of learning, personal growth and development.

Learning is essential for personal growth and development. It equips us with the knowledge and skills necessary to navigate life effectively. Through learning, we acquire the ability to think critically, solve problems, and make informed decisions. It fosters creativity and innovation, enabling us to generate new ideas and solutions. Learning also facilitates emotional growth, helping us understand ourselves better, manage our emotions, and build strong interpersonal relationships.

Contributions to Society

On a societal level, learning plays a crucial role in driving progress and development. It is through learning that we gain an understanding of societal norms, values, and structures, enabling us to function effectively within our communities. Additionally, learning fosters social cohesion by promoting mutual understanding and respect among diverse groups. It equips us with the tools to challenge societal injustices and contribute to social change.

Global Impact

The role of lifelong learning.

In an era marked by rapid technological advancement and societal change, lifelong learning has become increasingly important. It enables us to stay relevant and competitive in the evolving job market, adapt to technological advancements, and navigate societal changes effectively. Lifelong learning fosters resilience, adaptability, and a growth mindset, qualities that are crucial for success in the 21st century.

In conclusion, learning is a vital aspect of human life that shapes our personal growth, contributes to societal development, and drives global progress. It equips us with the knowledge, skills, and values necessary to navigate life effectively, foster social cohesion, and address global challenges. In the face of rapid technological and societal change, lifelong learning has emerged as a critical component of learning, enabling us to adapt and thrive in the evolving world. Therefore, it is essential that we embrace learning as a lifelong pursuit, striving to expand our knowledge, enhance our skills, and deepen our understanding of the world around us.

Apart from these, you can look at all the essays by clicking here .

Happy studying!

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How People Learn: Brain, Mind, Experience, and School: Expanded Edition (2000)

Chapter: 10 conclusions, 10 conclusions.

The pace at which science proceeds sometimes seems alarmingly slow, and impatience and hopes both run high when discussions turn to issues of learning and education. In the field of learning, the past quarter century has been a period of major research advances. Because of the many new developments, the studies that resulted in this volume were conducted to appraise the scientific knowledge base on human learning and its application to education. We evaluated the best and most current scientific data on learning, teaching, and learning environments. The objective of the analysis was to ascertain what is required for learners to reach deep understanding, to determine what leads to effective teaching, and to evaluate the conditions that lead to supportive environments for teaching and learning.

A scientific understanding of learning includes understanding about learning processes, learning environments, teaching, sociocultural processes, and the many other factors that contribute to learning. Research on all of these topics, both in the field and in laboratories, provides the fundamental knowledge base for understanding and implementing changes in education.

This volume discusses research in six areas that are relevant to a deeper understanding of students’ learning processes: the role of prior knowledge in learning, plasticity and related issues of early experience upon brain development, learning as an active process, learning for understanding, adaptive expertise, and learning as a time-consuming endeavor. It reviews research in five additional areas that are relevant to teaching and environments that support effective learning: the importance of social and cultural contexts, transfer and the conditions for wide application of learning, subject matter uniqueness, assessment to support learning, and the new educational technologies.

LEARNERS AND LEARNING

Development and learning competencies.

Children are born with certain biological capacities for learning. They can recognize human sounds; can distinguish animate from inanimate objects; and have an inherent sense of space, motion, number, and causality. These raw capacities of the human infant are actualized by the environment surrounding a newborn. The environment supplies information, and equally important, provides structure to the information, as when parents draw an infant’s attention to the sounds of her or his native language.

Thus, developmental processes involve interactions between children’s early competencies and their environmental and interpersonal supports. These supports serve to strengthen the capacities that are relevant to a child’s surroundings and to prune those that are not. Learning is promoted and regulated by the children’s biology and their environments. The brain of a developing child is a product, at the molecular level, of interactions between biological and ecological factors. Mind is created in this process.

The term “development” is critical to understanding the changes in children’s conceptual growth. Cognitive changes do not result from mere accretion of information, but are due to processes involved in conceptual reorganization. Research from many fields has supplied the key findings about how early cognitive abilities relate to learning. These include the following:

“Privileged domains:” Young children actively engage in making sense of their worlds. In some domains, most obviously language, but also for biological and physical causality and number, they seem predisposed to learn.

Children are ignorant but not stupid: Young children lack knowledge, but they do have abilities to reason with the knowledge they understand.

Children are problem solvers and, through curiosity, generate questions and problems: Children attempt to solve problems presented to them, and they also seek novel challenges. They persist because success and understanding are motivating in their own right.

Children develop knowledge of their own learning capacities— metacognition—very early. This metacognitive capacity gives them the ability to plan and monitor their success and to correct errors when necessary.

Children’ natural capabilities require assistance for learning: Children’s early capacities are dependent on catalysts and mediation. Adults play a critical role in promoting children’s curiosity and persistence by directing children’s attention, structuring their experiences, supporting their

learning attempts, and regulating the complexity and difficulty of levels of information for them.

Neurocognitive research has contributed evidence that both the developing and the mature brain are structurally altered during learning. For example, the weight and thickness of the cerebral cortex of rats is altered when they have direct contact with a stimulating physical environment and an interactive social group. The structure of the nerve cells themselves is correspondingly altered: under some conditions, both the cells that provide support to the neurons and the capillaries that supply blood to the nerve cells may be altered as well. Learning specific tasks appears to alter the specific regions of the brain appropriate to the task. In humans, for example, brain reorganization has been demonstrated in the language functions of deaf individuals, in rehabilitated stroke patients, and in the visual cortex of people who are blind from birth. These findings suggest that the brain is a dynamic organ, shaped to a great extent by experience and by what a living being does.

Transfer of Learning

A major goal of schooling is to prepare students for flexible adaptation to new problems and settings. Students’ abilities to transfer what they have learned to new situations provides an important index of adaptive, flexible learning; seeing how well they do this can help educators evaluate and improve their instruction. Many approaches to instruction look equivalent when the only measure of learning is memory for facts that were specifically presented. Instructional differences become more apparent when evaluated from the perspective of how well the learning transfers to new problems and settings. Transfer can be explored at a variety of levels, including transfer from one set of concepts to another, one school subject to another, one year of school to another, and across school and everyday, nonschool activities.

People’s abilitiy to transfer what they have learned depends upon a number of factors:

People must achieve a threshold of initial learning that is sufficient to support transfer. This obvious point is often overlooked and can lead to erroneous conclusions about the effectiveness of various instructional approaches. It takes time to learn complex subject matter, and assessments of transfer must take into account the degree to which original learning with understanding was accomplished.

Spending a lot of time (“time on task”) in and of itself is not sufficient to ensure effective learning. Practice and getting familiar with subject matter take time, but most important is how people use their time while

learning. Concepts such as “deliberate practice” emphasize the importance of helping students monitor their learning so that they seek feedback and actively evaluate their strategies and current levels of understanding. Such activities are very different from simply reading and rereading a text.

Learning with understanding is more likely to promote transfer than simply memorizing information from a text or a lecture. Many classroom activities stress the importance of memorization over learning with understanding. Many, as well, focus on facts and details rather than larger themes of causes and consequences of events. The shortfalls of these approaches are not apparent if the only test of learning involves tests of memory, but when the transfer of learning is measured, the advantages of learning with understanding are likely to be revealed.

Knowledge that is taught in a variety of contexts is more likely to support flexible transfer than knowledge that is taught in a single context. Information can become “context-bound” when taught with context-specific examples. When material is taught in multiple contexts, people are more likely to extract the relevant features of the concepts and develop a more flexible representation of knowledge that can be used more generally.

Students develop flexible understanding of when, where, why, and how to use their knowledge to solve new problems if they learn how to extract underlying themes and principles from their learning exercises. Understanding how and when to put knowledge to use—known as conditions of applicability—is an important characteristic of expertise. Learning in multiple contexts most likely affects this aspect of transfer.

Transfer of learning is an active process. Learning and transfer should not be evaluated by “one-shot” tests of transfer. An alternative assessment approach is to consider how learning affects subsequent learning, such as increased speed of learning in a new domain. Often, evidence for positive transfer does not appear until people have had a chance to learn about the new domain—and then transfer occurs and is evident in the learner’s ability to grasp the new information more quickly.

All learning involves transfer from previous experiences. Even initial learning involves transfer that is based on previous experiences and prior knowledge. Transfer is not simply something that may or may not appear after initial learning has occurred. For example, knowledge relevant to a particular task may not automatically be activated by learners and may not serve as a source of positive transfer for learning new information. Effective teachers attempt to support positive transfer by actively identifying the strengths that students bring to a learning situation and building on them, thereby building bridges between students’ knowledge and the learning objectives set out by the teacher.

Sometimes the knowledge that people bring to a new situation impedes subsequent learning because it guides thinking in wrong directions.

For example, young children’s knowledge of everyday counting-based arithmetic can make it difficult for them to deal with rational numbers (a larger number in the numerator of a fraction does not mean the same thing as a larger number in the denominator); assumptions based on everyday physical experiences can make it difficult for students to understand physics concepts (they think a rock falls faster than a leaf because everyday experiences include other variables, such as resistance, that are not present in the vacuum conditions that physicists study), and so forth. In these kinds of situations, teachers must help students change their original conceptions rather than simply use the misconceptions as a basis for further understanding or leaving new material unconnected to current understanding.

Competent and Expert Performance

Cognitive science research has helped us understand how learners develop a knowledge base as they learn. An individual moves from being a novice in a subject area toward developing competency in that area through a series of learning processes. An understanding of the structure of knowledge provides guidelines for ways to assist learners acquire a knowledge base effectively and efficiently. Eight factors affect the development of expertise and competent performance:

Relevant knowledge helps people organize information in ways that support their abilities to remember.

Learners do not always relate the knowledge they possess to new tasks, despite its potential relevance. This “disconnect” has important implications for understanding differences between usable knowledge (which is the kind of knowledge that experts have developed) and less-organized knowledge, which tends to remain “inert.”

Relevant knowledge helps people to go beyond the information given and to think in problem representations, to engage in the mental work of making inferences, and to relate various kinds of information for the purpose of drawing conclusions.

An important way that knowledge affects performances is through its influences on people’s representations of problems and situations. Different representations of the same problem can make it easy, difficult, or impossible to solve.

The sophisticated problem representations of experts are the result of well-organized knowledge structures. Experts know the conditions of applicability of their knowledge, and they are able to access the relevant knowledge with considerable ease.

Different domains of knowledge, such as science, mathematics, and history, have different organizing properties. It follows, therefore, that to

have an in-depth grasp of an area requires knowledge about both the content of the subject and the broader structural organization of the subject.

Competent learners and problem solvers monitor and regulate their own processing and change their strategies as necessary. They are able to make estimates and “educated guesses.”

The study of ordinary people under everyday cognition provides valuable information about competent cognitive performances in routine settings. Like the work of experts, everyday competencies are supported by sets of tools and social norms that allow people to perform tasks in specific contexts that they often cannot perform elsewhere.

Conclusions

Everyone has understanding, resources, and interests on which to build. Learning a topic does not begin from knowing nothing to learning that is based on entirely new information. Many kinds of learning require transforming existing understanding, especially when one’s understanding needs to be applied in new situations. Teachers have a critical role in assisting learners to engage their understanding, building on learners’ understandings, correcting misconceptions, and observing and engaging with learners during the processes of learning.

This view of the interactions of learners with one another and with teachers derives from generalizations about learning mechanisms and the conditions that promote understanding. It begins with the obvious: learning is embedded in many contexts. The most effective learning occurs when learners transport what they have learned to various and diverse new situations. This view of learning also includes the not so obvious: young learners arrive at school with prior knowledge that can facilitate or impede learning. The implications for schooling are many, not the least of which is that teachers must address the multiple levels of knowledge and perspectives of children’s prior knowledge, with all of its inaccuracies and misconceptions.

Effective comprehension and thinking require a coherent understanding of the organizing principles in any subject matter; understanding the essential features of the problems of various school subjects will lead to better reasoning and problem solving; early competencies are foundational to later complex learning; self-regulatory processes enable self-monitoring and control of learning processes by learners themselves.

Transfer and wide application of learning are most likely to occur when learners achieve an organized and coherent understanding of the material; when the situations for transfer share the structure of the original

learning; when the subject matter has been mastered and practiced; when subject domains overlap and share cognitive elements; when instruction includes specific attention to underlying principles; and when instruction explicitly and directly emphasizes transfer.

Learning and understanding can be facilitated in learners by emphasizing organized, coherent bodies of knowledge (in which specific facts and details are embedded), by helping learners learn how to transfer their learning, and by helping them use what they learn.

In-depth understanding requires detailed knowledge of the facts within a domain. The key attribute of expertise is a detailed and organized understanding of the important facts within a specific domain. Education needs to provide children with sufficient mastery of the details of particular subject matters so that they have a foundation for further exploration within those domains.

Expertise can be promoted in learners. The predominant indicator of expert status is the amount of time spent learning and working in a subject area to gain mastery of the content. Secondarily, the more one knows about a subject, the easier it is to learn additional knowledge.

TEACHERS AND TEACHING

The portrait we have sketched of human learning and cognition emphasizes learning for in-depth comprehension. The major ideas that have transformed understanding of learning also have implications for teaching.

Teaching for In-Depth Learning

Traditional education has tended to emphasize memorization and mastery of text. Research on the development of expertise, however, indicates that more than a set of general problem-solving skills or memory for an array of facts is necessary to achieve deep understanding. Expertise requires well-organized knowledge of concepts, principles, and procedures of inquiry. Various subject disciplines are organized differently and require an array of approaches to inquiry. We presented a discussion of the three subject areas of history, mathematics, and science learning to illustrate how the structure of the knowledge domain guides both learning and teaching.

Proponents of the new approaches to teaching engage students in a variety of different activities for constructing a knowledge base in the subject domain. Such approaches involve both a set of facts and clearly defined principles. The teacher’s goal is to develop students’ understanding of a given topic, as well as to help them develop into independent and thoughtful problem solvers. One way to do this is by showing students that they already have relevant knowledge. As students work through different prob-

lems that a teacher presents, they develop their understanding into principles that govern the topic.

In mathematics for younger (first- and second-grade) students, for example, cognitively guided instruction uses a variety of classroom activities to bring number and counting principles into students’ awareness, including snack-time sharing for fractions, lunch count for number, and attendance for part-whole relationships. Through these activities, a teacher has many opportunities to observe what students know and how they approach solutions to problems, to introduce common misconceptions to challenge students’ thinking, and to present more advanced discussions when the students are ready.

For older students, model-based reasoning in mathematics is an effective approach. Beginning with the building of physical models, this approach develops abstract symbol system-based models, such as algebraic equations or geometry-based solutions. Model-based approaches entail selecting and exploring the properties of a model and then applying the model to answer a question that interests the student. This important approach emphasizes understanding over routine memorization and provides students with a learning tool that enables them to figure out new solutions as old ones become obsolete.

These new approaches to mathematics operate from knowledge that learning involves extending understanding to new situations, a guiding principle of transfer ( Chapter 3 ); that young children come to school with early mathematics concepts ( Chapter 4 ); that learners cannot always identify and call up relevant knowledge (Chapters 2 , 3 , and 4 ); and that learning is promoted by encouraging children to try out the ideas and strategies they bring with them to school-based learning ( Chapter 6 ). Students in classes that use the new approaches do not begin learning mathematics by sitting at desks and only doing computational problems. Rather, they are encouraged to explore their own knowledge and to invent strategies for solving problems and to discuss with others why their strategies work or do not work.

A key aspect of the new ways of teaching science is to focus on helping students overcome deeply rooted misconceptions that interfere with learning. Especially in people’s knowledge of the physical, it is clear that prior knowledge, constructed out of personal experiences and observations— such as the conception that heavy objects fall faster than light objects—can conflict with new learning. Casual observations are useful for explaining why a rock falls faster than a leaf, but they can lead to misconceptions that are difficult to overcome. Misconceptions, however, are also the starting point for new approaches to teaching scientific thinking. By probing students’ beliefs and helping them develop ways to resolve conflicting views, teachers can guide students to construct coherent and broad understandings of scientific concepts. This and other new approaches are major break-

throughs in teaching science. Students can often answer fact-based questions on tests that imply understanding, but misconceptions will surface as the students are questioned about scientific concepts.

Chèche Konnen (“search for knowledge” in Haitian Creole) was presented as an example of new approaches to science learning for grade school children. The approach focuses upon students’ personal knowledge as the foundations of sense-making. Further, the approach emphasizes the role of the specialized functions of language, including the students’ own language for communication when it is other than English; the role of language in developing skills of how to “argue” the scientific “evidence” they arrive at; the role of dialogue in sharing information and learning from others; and finally, how the specialized, scientific language of the subject matter, including technical terms and definitions, promote deep understanding of the concepts.

Teaching history for depth of understanding has generated new approaches that recognize that students need to learn about the assumptions any historian makes for connecting events and schemes into a narrative. The process involves learning that any historical account is a history and not the history. A core concept guiding history learning is how to determine, from all of the events possible to enumerate, the ones to single out as significant. The “rules for determining historical significance” become a lightening rod for class discussions in one innovative approach to teaching history. Through this process, students learn to understand the interpretative nature of history and to understand history as an evidentiary form of knowledge. Such an approach runs counter to the image of history as clusters of fixed names and dates that students need to memorize. As with the Chèche Konnen example of science learning, mastering the concepts of historical analysis, developing an evidentiary base, and debating the evidence all become tools in the history toolbox that students carry with them to analyze and solve new problems.

Expert Teachers

Expert teachers know the structure of the knowledge in their disciplines. This knowledge provides them with cognitive roadmaps to guide the assignments they give students, the assessments they use to gauge student progress, and the questions they ask in the give-and-take of classroom life. Expert teachers are sensitive to the aspects of the subject matter that are especially difficult and easy for students to grasp: they know the conceptual barriers that are likely to hinder learning, so they watch for these tell-tale signs of students’ misconceptions. In this way, both students’ prior knowledge and teachers’ knowledge of subject content become critical components of learners’ growth.

Subject-matter expertise requires well-organized knowledge of concepts and inquiry procedures. Similarly, studies of teaching conclude that expertise consists of more than a set of general methods that can be applied across all subject matter. These two sets of research-based findings contradict the common misconception about what teachers need to know in order to design effective learning environments for students. Both subject-matter knowledge and pedagogical knowledge are important for expert teaching because knowledge domains have unique structures and methods of inquiry associated with them.

Accomplished teachers also assess their own effectiveness with their students. They reflect on what goes on in the classroom and modify their teaching plans accordingly. Thinking about teaching is not an abstract or esoteric activity. It is a disciplined, systematic approach to professional development. By reflecting on and evaluating one’s own practices, either alone or in the company of a critical colleague, teachers develop ways to change and improve their practices, like any other opportunity for learning with feedback.

Teachers need expertise in both subject matter content and in teaching.

Teachers need to develop understanding of the theories of knowledge (epistemologies) that guide the subject-matter disciplines in which they work.

Teachers need to develop an understanding of pedagogy as an intellectual discipline that reflects theories of learning, including knowledge of how cultural beliefs and the personal characteristics of learners influence learning.

Teachers are learners and the principles of learning and transfer for student learners apply to teachers.

Teachers need opportunities to learn about children’s cognitive development and children’s development of thought (children’s epistemologies) in order to know how teaching practices build on learners’ prior knowledge.

Teachers need to develop models of their own professional development that are based on lifelong learning, rather than on an “updating” model of learning, in order to have frameworks to guide their career planning.

LEARNING ENVIRONMENTS

Tools of technology.

Technology has become an important instrument in education. Computer-based technologies hold great promise both for increasing access to knowledge and as a means of promoting learning. The public imagination has been captured by the capacity of information technologies to centralize and organize large bodies of knowledge; people are excited by the prospect of information networks, such as the Internet, for linking students around the globe into communities of learners.

There are five ways that technology can be used to help meet the challenges of establishing effective learning environments:

Bringing real-world problems into classrooms through the use of videos, demonstrations, simulations, and Internet connections to concrete data and working scientists.

Providing “scaffolding” support to augment what learners can do and reason about on their path to understanding. Scaffolding allows learners to participate in complex cognitive performances, such as scientific visualization and model-based learning, that is more difficult or impossible without technical support.

Increasing opportunities for learners to receive feedback from software tutors, teachers, and peers; to engage in reflection on their own learning processes; and to receive guidance toward progressive revisions that improve their learning and reasoning.

Building local and global communities of teachers, administrators, students, parents, and other interested learners.

Expanding opportunities for teachers’ learning.

An important function of some of the new technologies is their use as tools of representation. Representational thinking is central to in-depth understanding and problem representation is one of the skills that distinguish subject experts from novices. Many of the tools also have the potential to provide multiple contexts and opportunities for learning and transfer, for both student-learners and teacher-learners. Technologies can be used as learning and problem-solving tools to promote both independent learning and collaborative networks of learners and practitioners.

The use of new technologies in classrooms, or the use of any learning aid for that matter, is never solely a technical matter. The new electronic technologies, like any other educational resource, are used in a social environment and are, therefore, mediated by the dialogues that students have with each other and the teacher.

Educational software needs to be developed and implemented with a full understanding of the principles of learning and developmental psychology. Many new issues arise when one considers how to educate teachers to use new technologies effectively: What do they need to know about learning processes? What do they need to know about the technologies? What kinds of training are most effective for helping teachers use high-quality instructional programs? Understanding the issues that affect teachers who will be using new technologies is just as pressing as questions of the learning potential and developmental appropriateness of the technologies for children.

Assessment to Support Learning

Assessment and feedback are crucial for helping people learn. Assessment that is consistent with principles of learning and understanding should:

Mirror good instruction.

Happen continuously, but not intrusively, as a part of instruction.

Provide information (to teachers, students, and parents) about the levels of understanding that students are reaching.

Assessment should reflect the quality of students’ thinking, as well as what specific content they have learned. For this purpose, achievement measurement must consider cognitive theories of performance. Frameworks that integrate cognition and context in assessing achievement in science, for example, describe performance in terms of the content and process task demands of the subject matter and the nature and extent of cognitive activities likely to be observed in a particular assessment situation. The frameworks provide a basis for examining performance assessments that are designed to measure reasoning, understanding, and complex problem solving.

The nature and purposes of an assessment also influence the specific cognitive activities that are expressed by the student. Some assessment tasks emphasize a particular performance, such as explanation, but deemphasize others, such as self-monitoring. The kind and quality of cognitive activities observed in an assessment situation are functions of the content and process demands of the tasks involved. Similarly, the task demands for process skills can be conceived along a continuum from constrained to open. In open situations, explicit directions are minimized in order to see how students generate and carry out appropriate process skills as they solve problems. Characterizing assessments in terms of components of competence and the content and process demands of the subject matter brings specificity to assessment objectives, such as “higher level thinking” and “deep understanding.” This approach links specific content with the

underlying cognitive processes and the performance objectives that the teacher has in mind. With articulated objectives and an understanding of the correspondence between task features and cognitive activities, the content and process demands of tasks are brought into alignment with the performance objectives.

Effective teachers see assessment opportunities in ongoing classroom learning situations. They continually attempt to learn about students’ thinking and understanding and make it relevant to current learning tasks. They do a great deal of on-line monitoring of both group work and individual performances, and they attempt to link current activities to other parts of the curriculum and to students’ daily life experiences.

Students at all levels, but increasingly so as they progress through the grades, focus their learning attention and energies on the parts of the curriculum that are assessed. In fact, the art of being a good student, at least in the sense of getting good grades, is tied to being able to anticipate what will be tested. This means that the information to be tested has the greatest influence on guiding students’ learning. If teachers stress the importance of understanding but then test for memory of facts and procedures, it is the latter that students will focus on. Many assessments developed by teachers overemphasize memory for procedures and facts; expert teachers, by contrast, align their assessment practices with their instructional goals of depth-of-understanding.

Learning and Connections to Community

Outside of formal school settings, children participate in many institutions that foster their learning. For some of these institutions, promoting learning is part of their goals, including after-school programs, as in such organizations as Boy and Girl Scout Associations and 4–H Clubs, museums, and religious education. In other institutions or activities, learning is more incidental, but learning takes place nevertheless. These learning experiences are fundamental to children’s—and adults’ —lives since they are embedded in the culture and the social structures that organize their daily activities. None of the following points about the importance of out-of-school learning institutions, however, should be taken to deemphasize the central role of schools and the kinds of information that can be most efficiently and effectively taught there.

A key environment for learning is the family. In the United States, many families hold a learning agenda for their children and seek opportunities for their children to engage with the skills, ideas, and information in their communities. Even when family members do not focus consciously on instructional roles, they provide resources for children’s learning that are relevant to school and out-of-school ideas through family activities, the funds of

knowledge available within extended families and their communities, and the attitudes that family members display toward the skills and values of schooling.

The success of the family as a learning environment, especially in the early years, has provided inspiration and guidance for some of the changes recommended in schools. The rapid development of children from birth to ages 4 or 5 is generally supported by family interactions in which children learn by observing and interacting with others in shared endeavors. Conversations and other interactions that occur around events of interest with trusted and skilled adults and child companions are especially powerful environments for learning. Many of the recommendations for changes in schools can be seen as extensions of the learning activities that occur within families. In addition, recommendations to include families in classroom activities and educational planning hold promise of bringing together two powerful systems for supporting children’s learning.

Classroom environments are positively influenced by opportunities to interact with parents and community members who take interest in what they are doing. Teachers and students more easily develop a sense of community as they prepare to discuss their projects with people who come from outside the school and its routines. Outsiders can help students appreciate similarities and differences between classroom environments and everyday environments; such experiences promote transfer of learning by illustrating the many contexts for applying what they know.

Parents and business leaders represent examples of outside people who can have a major impact on student learning. Broad-scale participation in school-based learning rarely happens by accident. It requires clear goals and schedules and relevant curricula that permit and guide adults in ways to help children learn.

Designing effective learning environments includes considering the goals for learning and goals for students. This comparison highlights the fact that there are various means for approaching goals of learning, and furthermore, that goals for students change over time. As goals and objectives have changed, so has the research base on effective learning and the tools that students use. Student populations have also shifted over the years. Given these many changes in student populations, tools of technology, and society’s requirements, different curricula have emerged along with needs for new pedagogical approaches that are more child-centered and more culturally sensitive, all with the objectives of promoting effective learning and adaptation (transfer). The requirement for teachers to meet such a diversity of challenges also illustrates why assessment needs to be a tool to help teach-

ers determine if they have achieved their objectives. Assessment can guide teachers in tailoring their instruction to individual students’ learning needs and, collaterally, inform parents of their children’s progress.

Supportive learning environments, which are the social and organizational structures in which students and teachers operate, need to focus on the characteristics of classroom environments that affect learning; the environments as created by teachers for learning and feedback; and the range of learning environments in which students participate, both in and out of school.

Classroom environments can be positively influenced by opportunities to interact with others who affect learners, particularly families and community members, around school-based learning goals.

New tools of technology have the potential of enhancing learning in many ways. The tools of technology are creating new learning environments, which need to be assessed carefully, including how their use can facilitate learning, the types of assistance that teachers need in order to incorporate the tools into their classroom practices, the changes in classroom organization that are necessary for using technologies, and the cognitive, social, and learning consequences of using these new tools.

First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning.

Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methods—to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb.

How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system.

Topics include:

• How learning actually changes the physical structure of the brain.
• How existing knowledge affects what people notice and how they learn.
• What the thought processes of experts tell us about how to teach.
• The amazing learning potential of infants.
• The relationship of classroom learning and everyday settings of community and workplace.
• Learning needs and opportunities for teachers.
• A realistic look at the role of technology in education.

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Learning Strategies That Work

Dr. Mark A. McDaniel shares effective, evidence-based strategies about learning to replace less effective but widely accepted practices.

How do we learn and absorb new information? Which learning strategies actually work and which are mere myths?

Such questions are at the center of the work of Mark McDaniel , professor of psychology and the director of the Center for Integrative Research on Cognition, Learning, and Education at Washington University in St. Louis. McDaniel coauthored the book Make it Stick: The Science of Successful Learning .

In this Q&A adapted from a Career & Academic Resource Center podcast episode , McDaniel discusses his research on human learning and memory, including the most effective strategies for learning throughout a lifetime.

Harvard Extension: In your book, you talk about strategies to help students be better learners in and outside of the classroom. You write, “We harbor deep convictions that we learn better through single-minded focus and dogged repetition. And these beliefs are validated time and again by the visible improvement that comes during practice, practice, practice.”

McDaniel: This judgment that repetition is effective is hard to shake. There are cues present that your brain picks up when you’re rereading, when you’re repeating something that give you the metacognitive, that is your judgment about your own cognition, give you the misimpression that you really have learned this stuff well.

Older learners shouldn’t feel that they’re at a definitive disadvantage, because they’re not. Older learners really want to try to leverage their prior knowledge and use that as a basis to structure and frame and understand new information coming in.

And two of the primary cues are familiarity. So as you keep rereading, the material becomes more familiar to you. And we mistakenly judge familiarity as meaning robust learning.

And the second cue is fluency. It’s very clear from much work in reading and cognitive processes during reading that when you reread something at every level, the processes are more fluent. Word identification is more fluent. Parsing the structure of the sentence is more fluent. Extracting the ideas is more fluent. Everything is more fluent. And we misinterpret these fluency cues that the brain is getting. And these are accurate cues. It is more fluent. But we misinterpret that as meaning, I’ve really got this. I’ve really learned this. I’m not going to forget this. And that’s really misleading.

So let me give you another example. It’s not just rereading. It’s situations in, say, the STEM fields or any place where you’ve got to learn how to solve certain kinds of problems. One of the standard ways that instructors present homework is to present the same kind of problem in block fashion. You may have encountered this in your own math courses, your own physics courses.

So for example, in a physics course, you might get a particular type of work problem. And the parameters on it, the numbers might change, but in your homework, you’re trying to solve two or three or four of these work problems in a row. Well, it gets more and more fluid because exactly what formula you have to use. You know exactly what the problem is about. And as you get more fluid, and as we say in the book, it looks like you’re getting better. You are getting better at these problems.

But the issue is that can you remember how to identify which kinds of problems go with which kinds of solutions a week later when you’re asked to do a test where you have all different kinds of problems? And the answer is no, you cannot when you’ve done this block practice. So even though instructors who feel like their students are doing great with block practice and students will feel like they’re doing great, they are doing great on that kind of block practice, but they’re not at all good now at retaining information about what distinguishing features or problems are signaling certain kinds of approaches.

What you want to do is interleave practice in these problems. You want to randomly have a problem of one type and then solve a problem of another type and then a problem of another type. And in doing that, it feels difficult and it doesn’t feel fluent. And the signals to your brain are, I’m not getting this. I’m not doing very well. But in fact, that effort to try to figure out what kinds of approaches do I need for each problem as I encounter a different kind of problem, that’s producing learning. That’s producing robust skills that stick with you.

So this is a seductive thing that we have to, instructors and students alike, have to understand and have to move beyond those initial judgments, I haven’t learned very much, and trust that the more difficult practice schedule really is the better learning.

And I’ve written more on this since Make It Stick . And one of my strong theoretical tenets now is that in order for students to really embrace these techniques, they have to believe that they work for them. Each student has to believe it works for them. So I prepare demonstrations to show students these techniques work for them.

The net result of adopting these strategies is that students aren’t spending more time. Instead they’re spending more effective time. They’re working better. They’re working smarter.

When students take an exam after doing lots of retrieval practice, they see how well they’ve done. The classroom becomes very exciting. There’s lots of buy-in from the students. There’s lots of energy. There’s lots of stimulation to want to do more of this retrieval practice, more of this difficulty. Because trying to retrieve information is a lot more difficult than rereading it. But it produces robust learning for a number of reasons.

I think students have to trust that these techniques, and I think they also have to observe that these techniques work for them. It’s creating better learning. And then as a learner, you are more motivated to replace these ineffective techniques with more effective techniques.

Harvard Extension: You talk about tips for learners , how to make it stick. And there are several methods or tips that you share: elaboration, generation, reflection, calibration, among others. Which of these techniques is best?

McDaniel: It depends on the learning challenges that are faced. So retrieval practice, which is practicing trying to recall information from memory is really super effective if the requirements of your course require you to reproduce factual information.

For other things, it may be that you want to try something like generating understanding, creating mental models. So if your exams require you to draw inferences and work with new kinds of problems that are illustrative of the principles, but they’re new problems you haven’t seen before, a good technique is to try to connect the information into what I would call mental models. This is your representation of how the parts and the aspects fit together, relate together.

It’s not that one technique is better than the other. It’s that different techniques produce certain kinds of outcomes. And depending on the outcome you want, you might select one technique or the other.

I really firmly believe that to the extent that you can make learning fun and to the extent that one technique really seems more fun to you, that may be your go to technique. I teach a learning strategy course and I make it very clear to students. You don’t need to use all of these techniques. Find a couple that really work for you and then put those in your toolbox and replace rereading with these techniques.

Harvard Extension: You reference lifelong learning and lifelong learners. You talk about the brain being plastic, mutability of the brain in some ways, and give examples of how some lifelong learners approach their learning.

McDaniel: In some sense, more mature learners, older learners, have an advantage because they have more knowledge. And part of learning involves relating new information that’s coming into your prior knowledge, relating it to your knowledge structures, relating it to your schemas for how you think about certain kinds of content.

And so older adults have the advantage of having this richer knowledge base with which they can try to integrate new material. So older learners shouldn’t feel that they’re at a definitive disadvantage, because they’re not. Older learners really want to try to leverage their prior knowledge and use that as a basis to structure and frame and understand new information coming in.

Our challenges as older learners is that we do have these habits of learning that are not very effective. We turn to these habits. And if these aren’t such effective habits, we maybe attribute our failures to learn to age or a lack of native ability or so on and so forth. And in fact, that’s not it at all. In fact, if you adopt more effective strategies at any age, you’re going to find that your learning is more robust, it’s more successful, it falls into place.

You can learn these strategies at any age. Successful lifelong learning is getting these effective strategies in place, trusting them, and having them become a habit for how you’re going to approach your learning challenges.

6 Benefits of Connecting with an Enrollment Coach

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7 Research Findings About Technology and Education

Here’s what research shows about the effectiveness of technology for learning and when less tech can be more productive.

Do students perform better on digital or paper assessments? Does the amount of time spent on an app correlate to learning growth? How much valid and reliable research is typically behind an educational application? These are questions that busy educators often wonder about, yet they may not have an easy way to find answers. Fortunately, there is research on education apps and devices as well as learning growth and outcomes in the research journals. Below are seven things that educators should know about the research on the effectiveness of technology for learning—note that research findings can evolve over time, and the points below are not definitively settled.

Advantages and disadvantages of Tech

1. When screens are present but not being used for learning, students tend to learn less. Whether it’s a laptop or a smartphone , studies have found that the mere presence of these devices reduces available cognitive capacity in college students. Long-term recall and retention of information decreases when students at the university level have screens present during direct instructional time . Just having a laptop screen open or a cell phone next to a student (but not being used) is enough to distract their brain from fully focusing on the class activities.

Further, studies found that students in college who send off-task text or IM messages during class or engage with social media on their devices typically take lower-quality notes, and their overall academic performance is worse than that of those who didn’t engage in those activities during class. It’s important to note that when a student doesn’t have a device but is near another student who is using a device during class, both students’ grades will likely be negatively affected.

2. Literacy applications often have little valid and reliable research associated with them. A number of applications in the app stores (such as Google Play) do not have much, if any, valid and reliable research associated with them. According to a study looking at the top-rated early literacy applications , 77 percent of the applications have zero reliable research behind them. And the few apps that did have research only considered the look and feel of the application (such as ease of navigation or visual appeal), rather than if the child was likely to learn foundational literacy skills from the app.

There are apps that are effective , but finding them in the sea of all available apps—many of them poorly designed, with inadequate backing evidence—is a daunting task.

3. Neither the amount of time spent on an app nor the number of sessions in an app correlates with effectiveness. A recent study found that the “dosage” of the app, such as the number of sessions, time spent per session, and duration of the study, did not predict effectiveness of the app . Thus, learning outcomes did not change if a student spent more or less time in an application. The quality of the application matters more in determining learning growth or outcomes than the amount of time or number of times an application is used.

4. Students who read online tend to comprehend less than those who read via paper. Studies have shown that when it comes to comprehension and reading online versus on paper , the type of text matters. One study discovered that when it comes to leisure reading , the more complex the text, the more likely students will comprehend the content better when reading on paper.

Print reading over a long period of time could boost comprehension skills by six to eight times more than digital reading. The same study found that younger children (ages 6–12) seem to benefit the most from print reading over online. Further, another recent study found that university students tend to annotate more when reading on paper versus digital text, though this does not improve their subsequent memory of the text.

5. Students tend to perform worse when testing online compared with those who test on paper. While many standardized tests have moved online, there’s research that doesn’t support this as the best medium for optimal outcomes. A 2018 study determined that students tend to score worse when testing online versus paper in both math and English language arts. In particular, English language learners, children from lower-income homes, and students on individualized education programs perform worse online than on paper.

Some studies are finding that the use of computers in formal assessments creates an obstacle for students who need special accommodations like text-to-speech readers or language translators. For example, students with visual impairments tended to perform worse on computer-based tests that provided a digital reader, compared with similar students who took paper tests with a human reader.

6. Online classes are best for students who can self-regulate and are independent learners. The Brookings Institution’s Executive Summary on online learning finds that online learning is best suited for students who are high achievers and self-motivated. The research they reviewed found that academically strong students can benefit from fully online courses, while students who are not academically strong tend to do worse in online courses than they would in in-person classes.

One example is the Back on Track study, which looked at ninth-grade students taking credit recovery algebra. The study compared students in a fully online algebra credit recovery course with students in an in-person credit recovery algebra course; the fully online students had worse overall academic outcomes and were less likely to recover credit. Additionally, students in fully online courses with no face-to-face instructor interaction typically fared worse than students in face-to-face classes. The good news is that students in blended courses (part online and part in-person) appear to do about the same as those in fully in-person classes.

7. The type of device matters. While schools often shop for the least expensive option for student devices, it is important to note that a recent study looking at remote learning found that the type and quality of student devices matters in learning outcomes. Students who used devices that were older and had slower processors had a worse quality of learning experiences than those who had newer devices with stronger specifications.

These are some highlights from recent studies that can inform teachers and school districts when it comes to decision-making with purchasing technology, creating policies, or devising alternative academic offerings. It is important to understand the evidence behind any edtech-related decisions that could impact many students.

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How to Write Stanford’s “Excited About Learning” Essay

This article was written based on the information and opinions presented by Johnathan Patin-Sauls and Vinay Bhaskara in a CollegeVine livestream. You can watch the full livestream for more info.

What’s Covered:

Choosing an idea vs. an experience, learning for the sake of learning, learning as a means to other ends, be specific.

Stanford University’s first essay prompt asks you to respond to the following:

“ The Stanford community is deeply curious and driven to learn in and out of the classroom. Reflect on an idea or experience that makes you genuinely excited about learning. (100-250 words)”

For this short answer question, your response is limited to a maximum of 250 words. In this article, we will discuss considerations for choosing to write about an idea or experience, ways to demonstrate a love or enthusiasm for learning, and why you should be as specific. For more information and guidance on writing the application essays for Stanford University, check out our post on how to write the Stanford University essays .

Regardless of if you choose either an idea or experience that makes you genuinely excited about learning as a topic, there are a few considerations for each.  

Most people gravitate towards writing about an idea. One challenge that arises with an idea-focused essay is that applicants who are passionate about an idea often become hyper focused on explaining the idea but neglect to connect this idea to who they are as a person and why this idea excites them. 

When writing about an experience, it is important to strike a balance between describing the experience and analyzing the impact of the experience on you, your goals, and your commitment to learning.

This essay question allows you to expand on your joy for learning and your genuine curiosity. Stanford is searching for students who are naturally curious and enjoy the process of learning and educating themselves. For example, a compelling essay could begin with a riveting story of getting lost while hiking the Appalachian Trail and describing how this experience led to a lifelong passion for studying primitive forms of navigation. 

There is a strong tendency among applicants to write about formal academic coursework, however, the most compelling essays will subvert expectations by taking the concept of learning beyond the classroom and demonstrating how learning manifests itself in unique contexts in your life.

If you’re someone for whom learning is a means to other ends, it is important that you convey a sense of genuine enthusiasm and purpose beyond, “I want to go to X school because it will help me get Y job for Z purpose.” You may be motivated to attend college to obtain a certain position and make a comfortable income, however these answers are not necessarily what admissions officers are looking for. Instead, it can be helpful to relate an idea or experience to something more personal to you.

Academic & Professional Trajectory

Consider relating the idea or experience you choose to a major, degree program, research initiative, or professor that interests you at Stanford. Then go beyond the academic context to explain how the idea or experience ties into your future career. 

For instance, if you are interested in the concept of universal health care, then you might describe your interest in applying to public health programs with faculty that specialize in national health care systems. You might then describe your long term career aspirations to work in the United States Senate on crafting and passing health care policy.

Personal Values & Experiences

Another way to tie the ideas in this essay back to a more personal topic is to discuss how the idea or experience informs who you are, how you treat others, or how you experience the world around you. 

You could also focus on an idea or experience that has challenged, frustrated, or even offended you, thereby reinforcing and further justifying the values you hold and your worldview.

Community Building & Social Connectedness

You may also explore how this idea or experience connects you to a particular community by helping you understand, build, and support members of the community. Stanford is looking to find students who will be engaged members of the student body and carry out the community’s core mission, values, and projects, so this essay can be an opportunity to highlight how you would contribute to Stanford. 

Be specific in your choice of idea or the way in which you describe an experience. For example, a response that focuses on the joys of learning philosophy is too broad to be particularly memorable or impactful. However, the mind-body problem looking at the debate concerning the relationship between thought and consciousness is a specific philosophical idea that lends itself to a rich discussion. 

Related CollegeVine Blog Posts

Constructivist Learning Theory and Creating Effective Learning Environments

• First Online: 30 October 2021

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• Joseph Zajda 36  

Part of the book series: Globalisation, Comparative Education and Policy Research ((GCEP,volume 25))

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This chapter analyses constructivism and the use of constructivist learning theory in schools, in order to create effective learning environments for all students. It discusses various conceptual approaches to constructivist pedagogy. The key idea of constructivism is that meaningful knowledge and critical thinking are actively constructed, in a cognitive, cultural, emotional, and social sense, and that individual learning is an active process, involving engagement and participation in the classroom. This idea is most relevant to the process of creating effective learning environments in schools globally. It is argued that the effectiveness of constructivist learning and teaching is dependent on students’ characteristics, cognitive, social and emotional development, individual differences, cultural diversity, motivational atmosphere and teachers’ classroom strategies, school’s location, and the quality of teachers. The chapter offers some insights as to why and how constructivist learning theory and constructivist pedagogy could be useful in supporting other popular and effective approaches to improve learning, performance, standards and teaching. Suggestions are made on how to apply constructivist learning theory and how to develop constructivist pedagogy, with a range of effective strategies for enhancing meaningful learning and critical thinking in the classroom, and improving academic standards.

The unexamined life is not worth living (Socrates, 399 BCE).

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Zajda, J. (2021). Constructivist Learning Theory and Creating Effective Learning Environments. In: Globalisation and Education Reforms. Globalisation, Comparative Education and Policy Research, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-030-71575-5_3

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What are the key elements of a positive learning environment? Perspectives from students and faculty

Shayna a. rusticus.

Department of Psychology, Kwantlen Polytechnic University, 12666 72 Ave, Surrey, BC V3W 2M8 Canada

Tina Pashootan

The learning environment comprises the psychological, social, cultural and physical setting in which learning occurs and has an influence on student motivation and success. The purpose of the present study was to explore qualitatively, from the perspectives of both students and faculty, the key elements of the learning environment that supported and hindered student learning. We recruited a total of 22 students and 9 faculty to participate in either a focus group or an individual interview session about their perceptions of the learning environment at their university. We analyzed the data using a directed content analysis and organized the themes around the three key dimensions of personal development, relationships, and institutional culture. Within each of these dimensions, we identified subthemes that facilitated or impeded student learning and faculty work. We also identified and discussed similarities in subthemes identified by students and faculty.

Introduction

The learning environment (LE) comprises the psychological, social, cultural, and physical setting in which learning occurs and in which experiences and expectations are co-created among its participants (Rusticus et al., 2020 ; Shochet et al., 2013 ). These individuals, who are primarily students, faculty and staff, engage in this environment and the learning process as they navigate through their personal motivations and emotions and various interpersonal interactions. This all takes place within a physical setting that consists of various cultural and administrative norms (e.g. school policies).

While many studies of the LE have focused on student perspectives (e.g. Cayubit, 2021 ; Schussler et al., 2021 ; Tharani et al., 2017 ), few studies have jointly incorporated the perspectives of students and faculty. Both groups are key players within the educational learning environment. Some exceptions include researchers who have used both instructor and student informants to examine features of the LE in elementary schools (Fraser & O’Brien, 1985 ; Monsen et al., 2014 ) and in virtual learning and technology engaged environments in college (Annansingh, 2019 ; Downie et al., 2021 ) Other researchers have examined perceptions of both groups, but in ways that are not focused on understanding the LE (e.g. Bolliger & Martin, 2018 ; Gorham & Millette, 1997 ; Midgly et al., 1989 ).

In past work, LEs have been evaluated on the basis of a variety of factors, such as students’ perceptions of the LE have been operationalized as their course experiences and evaluations of teaching (Guo et al., 2021 ); level of academic engagement, skill development, and satisfaction with learning experience (Lu et al., 2014 ); teacher–student and student–peer interactions and curriculum (Bolliger & Martin, 2018 ; Vermeulen & Schmidt, 2008 ); perceptions of classroom personalization, involvement, opportunities for and quality of interactions with classmates, organization of the course, and how much instructors make use of more unique methods of teaching and working (Cayubit, 2021 ). In general, high-quality learning environments are associated with positive outcomes for students at all levels. For example, ratings of high-quality LEs have been correlated with outcomes such as increased satisfaction and motivation (Lin et al., 2018 ; Rusticus et al., 2014 ; Vermeulen & Schmidt, 2008 ), higher academic performance (Lizzio et al., 2002 ; Rusticus et al., 2014 ), emotional well-being (Tharani et al., 2017 ), better career outcomes such as satisfaction, job competencies, and retention (Vermeulen & Schmidt, 2008 ) and less stress and burnout (Dyrbye et al., 2009 ). From teacher perspectives, high-quality LEs have been defined in terms of the same concepts and features as those used to evaluate student perspective and outcomes. For example, in one quantitative study, LEs were rated as better by students and teachers when they were seen as more inclusive (Monsen et al., 2014 ).

However, LEs are diverse and can vary depending on context and, although many elements of the LE that have been identified, there has been neither a consistent nor clear use of theory in assessing those key elements (Schönrock-Adema et al., 2012 ). One theory that has been recommended by Schönrock-Adema et al. ( 2012 ) to understand the LE is Moos’ framework of human environments (Insel & Moos, 1974 ; Moos, 1973 , 1991 ). Through his study of a variety of human environments (e.g. classrooms, psychiatric wards, correctional institutions, military organizations, families), Moos proposed that all environments have three key dimensions: (1) personal development/goal direction, (2) relationships, and (3) system maintenance/change. The personal development dimension encompasses the potential in the environment for personal growth, as well as reflecting the emotional climate of the environment and contributing to the development of self-esteem. The relationship dimension encompasses the types and quality of social interactions that occur within the environment, and it reflects the extent to which individuals are involved in the environment and the degree to which they interact with, and support, each other. The system maintenance/change dimension encompasses the degree of structure, clarity and openness to change that characterizes the environment, as well as reflecting physical aspects of the environment.

We used this framework to guide our research question: What do post-secondary students and faculty identify as the positive and negative aspects of the learning environment? Through the use of a qualitative methodology to explore the LE, over the more-typical survey-based approaches, we were able to explore this topic in greater depth, to understand not only the what, but also the how and the why of what impacts the LE. Furthermore, in exploring the LE from both the student and faculty perspectives, we highlight similarities and differences across these two groups and garner an understanding of how both student and faculty experience the LE.

Participants

All participants were recruited from a single Canadian university with three main campuses where students can attend classes to obtain credentials, ranging from a one-year certificate to a four-year undergraduate degree. Approximately 20,000 students attend each year. The student sample was recruited through the university’s subject pool within the psychology department. The faculty sample was recruited through emails sent out through the arts faculty list-serve and through direct recruitment from the first author.

The student sample was comprised of 22 participants, with the majority being psychology majors ( n  = 10), followed by science majors ( n  = 4) and criminology majors ( n  = 3). Students spanned all years of study with seven in their first year, three in second year, five in third year, six in fourth year, and one unclassified. The faculty sample consisted of nine participants (6 male, 3 female). Seven of these participants were from the psychology department, one was from the criminology department and one was from educational studies. The teaching experience of faculty ranged from 6 to 20 years.

Interview schedule and procedure

We collected student data through five focus groups and two individual interviews. The focus groups ranged in size from two to six participants. All sessions occurred in a private meeting room on campus and participants were provided with food and beverages, as well as bonus credit. Each focus group/interview ranged from 30 to 60 min. We collected all faculty data through individual interviews ranging from 30 to 75 min. Faculty did not receive any incentives for their participation. All sessions were conducted by the first author, with the second author assisting with each of the student focus groups.

With the consent of each participant, we audio-recorded each session and transcribed them verbatim. For both samples, we used a semi-structured interview format involving a set of eight open-ended questions about participants’ overall perceptions of the LE at their institution (see Appendix for interview guide). These questions were adapted from a previous study conducted by the first author (Rusticus et al., 2020 ) and focused on how participants defined the LE, what they considered to be important elements of the LE, and their positive and negative experiences within their environment. Example questions were: “Can you describe a [negative/positive] learning [students]/teaching [faculty] experience that you have had?”.

We analyzed the data using a directed content analysis approach (Hsieh & Shannon, 2005 ) that used existing theory to develop the initial coding scheme. We used Moos’s (Insel & Moos, 1974 ; Moos, 1973 , 1991 ) framework and its three dimensions of personal development, relationships, and system maintenance/change to guide our analysis. During the analysis phase, we renamed the system maintenance/change dimension to ‘institutional setting’ as we felt it was more descriptive of, and better represented, the content of this theme.

We analyzed student and faculty data separately, starting with the student data, but used the same process for both. First, we randomly selected two transcripts. We each independently coded the first transcript using the broad themes of personal development, relationships and institutional setting, and developed subcodes within each of these themes, as needed. We then reviewed and discussed our codes, reaching consensus on any differences in coding. We then repeated this process for the second transcript and, through group discussions, created a codebook. The first author then coded the remaining transcripts.

When coding the faculty data, we aimed to maintain subcodes similar to the student data while allowing for flexibility when needed. For instance, within the personal development theme, a subcode for the student data was ‘engagement with learning’, whereas a parallel subcode for the faculty data was ‘engagement with teaching’.

We present the results of the student and faculty data separately. For both, we have organized our analysis around the three overarching themes of personal development, relationships and institutional setting.

Student perspectives of the learning environment

Personal development.

Personal development was defined as any motivation either within or outside the LE that provide students with encouragement, drive, and direction for their personal growth and achievement. Within this theme, there were two subthemes: engaging with learning and work-life balance.

Engagement with learning reflected a student’s desire and ability to participate in their learning, as opposed to a passive-learning approach. Students felt more engaged when they were active learners, as well as when they perceived the material to be relevant to their career goals or real-world applications. Students also said that having opportunities to apply their learning helped them to better understand their own career paths:

I had two different instructors and both of them were just so open and engaging and they shared so many personal stories and they just seemed so interested in what they were doing and what I was like. Wow, I want to be that. I want to be interested in what I’m learning. (G6P1)

A common complaint that negatively impacted student motivation was that instructors would lecture for the entire class without supporting materials or opportunities for students to participate.

I’ve had a couple professors who just don’t have any visuals at all. All he does is talk. So, for the whole three hours, we would just be scrambling to write down the notes. It’s brutal...(G7P2)

Trying to establish a healthy work-life balance and managing the demands of their courses, often in parallel with managing work and family demands, were key challenges for students and were often sources of stress and anxiety. For instance, one student spoke about her struggles in meeting expectations:

It was a tough semester. For the expectations that I had placed on myself, I wasn’t meeting them and it took a toll on me. But now I know that I can exceed my expectations, but you really have to try and work hard for it. (G6P1)

Achieving a good work-life balance and adjusting to university life takes time. Many students commented that, as they reached their third year of study, they felt more comfortable in the school environment. Unfortunately, students also noted that the mental and emotional toll of university life can lead to doubt about the future and a desire to leave. One student suggested more support for students to help with this adjustment:

I think school should give students more service to help them to overcome the pressure and make integration into the first year and second year quicker and faster. Maybe it’s very helpful for the new students. (G7P4)

Relationships

Relationships was the second dimension of the LE. Subthemes within this dimension included: faculty support, peer interaction, and group work. Most students commented on the impact that faculty had on their learning. Faculty support included creating a safe or unsafe space in the classroom (i.e. ability to ask questions without judgement, fostering a respectful atmosphere), providing additional learning material, accommodating requests, or simply listening to students. Students generally indicated that faculty at this university were very willing to offer extra support and genuinely cared for them and their education. Faculty were described as friendly and approachable, and their relationships with students were perceived as “egalitarian”.

I think feeling that you’re safe in that environment, that anything you pose or any questions that you may have, you’re free to ask. And without being judged. And you’ll get an answer that actually helps you. (G1P4)

While most students felt welcome and comfortable in their classes, a few students spoke about negative experiences that they had because of lack of faculty support. Students cited examples of professors “shutting down” questions, saying that a question was “stupid”, refusing requests for additional help, or interrupting them while speaking. Another student felt that the inaction of faculty sometimes contributed to a negative atmosphere:

I’ve had bad professors that just don't listen to any comment or, if you suggest something to improve it which may seem empirically better, they still shut you down! That’s insane. (G2P2)

The peer interactions subtheme referred to any instances when students could interact with other students; this occurred both in and out of the classroom. Most often, students interacted with their peers during a class or because of an assignment:

I think the way the class is structured really helps you build relationships with your peers. For example, I met S, we had several classes with each other. Those classes were more proactive and so it allowed us to build a relationship… I think that’s very important because we’re going to be in the same facility for a long time and to have somebody to back you up, or to have someone to study with…”. (G1P4)

However, other students felt that they lacked opportunities to interact with peers in class. Although a few participants stated that they felt the purpose of going to school was to get a degree, rather than to socialize with others, students wanted more opportunities to interact with peers.

The final subtheme, group work, was a very common activity at this school. The types of group work in which students engaged included classroom discussions, assignments/projects, and presentations. Many students had enjoyable experiences working in groups, noting that working together helped them to solve problems and create something that was better than one individual’s work. Even though sometimes doing the work itself was a negative experience, people still saw value in group work:

Some of the best memories I’ve ever had was group work and the struggles we've had. (G2P2) I don’t like group work but it taught me a lot, I’ve been able to stay friends and be able to connect with people that I’ve had a class with in 2nd year psych all the way up till now. I think that’s very valuable. (G6P1)

Almost all students who spoke about group work also talked about negative aspects or experiences they had. When the work of a group made up a large proportion of the final grade, students sometimes would have preferred to be evaluated individually. Students disliked when they worked in groups when members were irresponsible or work was not shared equally, and they were forced to undertake work that other students were not completing.

A lot of people don’t really care, or they don’t take as much responsibility as you. I think people have different goals and different ways of working, so sometimes I find that challenging. (G7P2)

Institutional setting

The third overarching theme was the institutional setting. Broadly, this theme refers to the physical structure, expectations, and the overall culture of the environment and was composed of two key subthemes: importance of small class sizes; and the lack of a sense of community.

Small class sizes, with a maximum of 35 students, were a key reason why many students chose to come to this institution. The small classes created an environment in which students and faculty were able to get to know one another more personally; students felt that they were known as individuals, not just as numbers. They also noted that this promoted greater feelings of connectedness to the class environment, more personalized attention, and opportunities to request reference letters in the future:

My professors know my name. Not all of them that I’m having for the first time ever, but they try… That means a lot to me. (G6P4)

Several students also said that having smaller class sizes helped them to do well in their courses. The extra attention encouraged them to perform better academically, increased their engagement with their material, and made them feel more comfortable in asking for help.

Having a sense of belonging was a key feature of the environment and discussions around a sense of community (or lack thereof) was a prominent theme among the students. Students generally agreed that the overall climate of the school is warm and friendly. However, many students referred to the institution as a “commuter school”, because there are no residencies on campus and students must commute to the school. This often resulted in students attending their classes and then leaving immediately after, contributing to a lack of community life on campus.

What [other schools] have is that people live on campus. I think that plays a huge role. We can’t ignore that we are a commuter school… They have these events and people go because they’re already there and you look at that and it seems to be fun and engaging. (G4P1)

Furthermore, students commented on a lack of campus areas that supported socialization and encouraged students to remain on campus. While there were events and activities that were regularly hosted at the school, students had mixed opinions about them. Some students attended the events and found them personally beneficial. Other students stated that, although many events and activities were available, turnout was often low:

There isn’t any hanging out after campus and you can even see in-events and in-event turnout for different events… It is like pulling teeth to get people to come out to an event… There are free food and fun music and really cool stuff. But, no one’s going to go. It’s sad. (G5P1)

Faculty perspectives on the learning environment

Similar to the student findings, faculty data were coded within the three overarching themes of personal development, relationships, and institutional setting.

Personal development reflected any motivation either within or outside the LE that provided faculty with the encouragement, drive, and direction for their personal growth and engagement with teaching. Within this dimension, there were two main subthemes: motivation to teach and emotional well-being.

As with any career, there are many positive and negative motivating factors that contribute to one’s involvement in their work. Faculty generally reported feeling passionate about their work, and recounted positive experiences they have had while teaching, both personally and professionally. While recollecting positive drives throughout their career, one instructor shared:

It’s [teaching in a speciality program] allowed me to teach in a very different way than the traditional classroom… I’ve been able to translate those experiences into conferences, into papers, into connections, conversations with others that have opened up really interesting dialogues…. (8M)

Faculty also reported that receiving positive feedback from students or getting to see their students grow over time was highly motivating:

I take my teaching evaluations very seriously and I keep hearing that feedback time and time again they feel safe. They feel connected, they feel listened too, they feel like I'm there for them. I think, you know, those are the things that let me know what I'm doing is achieving the goals that I have as an educator. (1F) Being able to watch [students] grow over time is very important to me… I always try to have a few people I work with and see over the course of their degree. So, when they graduate, you know I have a reason to be all misty-eyed. (2M)

Emotional well-being related to how different interactions, primarily with students, affected instructors’ mental states. Sometimes the emotional well-being of faculty was negatively affected by the behaviour of students. One instructor spoke about being concerned when students drop out of a class:

A student just this last semester was doing so well, but then dropped off the face of the earth… I felt such a disappointing loss… So, when that happens, I'm always left with those questions about what I could have done differently. Maybe, at the end of the day, there is nothing I could've done, nothing. It's a tragedy or something's happened in their life or I don't know. But those unanswered questions do concern-- they cause me some stress or concern. (1F)

Another instructor said that, while initially they had let the students’ behaviour negatively affect their well-being, over time, they had eventually become more apathetic.

There are some who come, leave after the break. Or they do not come, right, or come off and on. Previously I was motivated to ask them ‘what is your problem?’ Now I do not care. That is the difference which has happened. I do not care. (4M)

This dimension included comments related to interactions with other faculty and with students and consisted of three subthemes: faculty supporting faculty; faculty supporting students; and creating meaningful experiences for students.

Most faculty felt that it was important to be supported by, and supportive to, their colleagues. For instance, one instructor reported that their colleagues’ helpfulness inspired them to be supportive of others:

If I was teaching a new course, without me having to go and beg for resources or just plead and hope that someone might be willing to share, my experience was that the person who last taught the course messaged me and said let me know if anything I have will be useful to you… When people are willing to do that for you, then you’re willing to do that for someone else….(7M)

Many faculty members also spoke about the importance of having supportive relationships with students, and that this would lead to better learning outcomes:

If you don't connect with your students, you're not going to get them learning much. They're not; they're just going to tune out. So, I think, I think connection is critical to having a student not only trust in the learning environment, but also want to learn from the learning environment. (3M)

Facilitating an open, inviting space in the classroom and during their office hours, where students were comfortable asking questions, was one way that faculty tried to help students succeed. Faculty also spoke about the value of having close mentorship relationships with students:

I work with them a lot and intensively…and their growth into publishing, presenting, and seeing them get recognized and get jobs on their way out and so forth are extraordinary. So, being able to watch them grow over time is very important to me. (2M)

Faculty also noted that occasionally there were instances when students wanted exceptions to be made for them which can create tensions in the environment. One instructor spoke about the unfairness of those requests arguing that students need to be accountable to themselves:

The failure rate, …it was 43%. I do not know if there is any other course in which there is a 43% failure rate. So, I do not want to fail these students, why? Instructors want these students to pass, these are my efforts […], and there are also the efforts of these students and their money, right? But, if a student doesn’t want to pass himself or herself, I cannot pass this student, that’s it. (4M)

Faculty were generally motivated to provide memorable and engaging experiences for students. These included providing practical knowledge and opportunities to apply knowledge in real-world settings, field schools, laboratory activities, group discussions, guest speakers, field trips, videos and group activities. They were often willing to put in extra effort if it meant that students would have a better educational experience.

Creating meaningful experiences for students was also meaningful for faculty. One faculty member said that faculty felt amazing when the methods that they used in their courses were appreciated by students. Another faculty member noted:

This student who was in my social psychology class, who was really bright and kind of quirky, would come to my office, twice a week, and just want to talk about psychology … That was like a really satisfying experience for me to see someone get so sparked by the content. (9F)

This third theme refers to the physical structure, expectation, and overall culture of the environment and it consisted of two subthemes: the importance of small class sizes, and the lack of a sense of community.

The majority of the faculty indicated that the small class sizes are an integral feature of the LE. The key advantage of the small classes was that they allowed greater connection with students.

Your professor knows your name. That’s a huge difference from other schools. It’s a small classroom benefit. (6F)

Similar to the students, nearly all the faculty indicated that a sense of community at the institution was an important part of the environment, and something that was desired, but it currently was lacking. They spoke about various barriers which prevent a sense of community, such as the lack of residences, a dearth of events and activities at the university, the busy schedules of faculty and students, the commuter nature of the school, and characteristics of the student population:

When I complain about the commuter campus feeling that occurs with students, we suffer from that too at a faculty level… People are just not in their offices because we work from home… And that really also affects the culture… We come in. We do our thing. We meet with students. And then we leave… I encounter so many students in the hallway who are looking for instructors and they can’t find them. (9F)

These findings have provided insight into the perspectives of both students and faculty on the LE of a Canadian undergraduate university. We found that framing our analysis and results within Moos’ framework of human environments (Insel & Moos, 1974 ; Moos, 1973 , 1991 ) was an appropriate lens for the data and that the data fit well within these three themes. This provides support for the use of this theory to characterize the educational LE. Within each of these dimensions, we discuss subthemes that both facilitated and hindered student learning and commonalities among student and faculty perspectives.

Within the personal development dimension, both students and faculty discussed the importance of engagement and/or motivation as a facilitator of a positive LE. When students were engaged with their learning, most often by being an active participant or seeing the relevance of what they were learning, they saw it as a key strength. Other studies have also identified engagement as a feature of positive LEs for populations such as high-school students (Seidel, 2006 ), nursing students (D’Souza et al., 2013 ) and college students taking online courses (e.g. Holley & Dobson, 2008 ; O’Shea et al., 2015 ). Faculty who reported being motivated to teach, often felt that this motivation was fueled by the reactions of their students; when students were engaged, they felt more motivated. This creates a positive cyclic pattern in which one group feeds into the motivation and engagement levels of the other. However, this can also hinder the LE when a lack of engagement in one group can bring down the motivation of the other group (such as students paying more attention to their phones than to a lecture or faculty lecturing for the entire class period).

Emotional climate was another subtheme within the personal development dimension that was shared by both students and faculty although, for students, this was focused more on the stress and anxiety that they felt trying to manage their school workloads with their work and family commitments. The overall emotional climate of the school was generally considered to be positive, which was largely driven by the supportive and welcoming environment provided by the faculty. However, it was the negative emotions of stress and anxiety that often surfaced as a challenging aspect in the environment for students. Past research suggests that some types of stress, such as from a challenge, can improve learning and motivation, but negative stress, such as that reported by our participants, is associated with worsened performance and greater fatigue (LePine et al., 2004 ).

For faculty, their emotional state was often influenced by their students. When things were going well for their students, faculty often shared in the joy; however, when students would disappear without notice from a class, it was a source of disappointment and self-doubt. For other faculty, the accumulation of negative experiences resulted in them being more distant and less affected emotionally than they had been earlier in their career. This diminishing concern could have implications for how engaged faculty are in their teaching, which could in turn influence student engagement and harm the LE.

The relationships dimension was the most influential aspect of the environment for both students and faculty. While both groups felt that the relationships that they formed were generally positive, they also reported a desire for more peer connections (i.e. students with other students and faculty with other faculty). Students commented that it was a typical experience for them to come to campus to attend their classes and then leave afterwards, often to work or study at home. Many of the students at this school attend on a part-time basis while they work part- or full-time and/or attend to family commitments. While this is a benefit to these students to have the flexibility to work and further their education, it comes at loss of the social aspect of post-secondary education.

The one way in which student–peer relationships were fostered was through group work. However, students held both positive and negative views on this: the positive aspect was the opportunity to get to know other students and being able to share the burden of the workload, and the negative aspect was being unfair workloads among team members. When group dynamics are poor, such as unfair work distribution, having different goals and motivations, or not communicating effectively with their groups, it has been shown to lead to negative experiences (Rusticus & Justus, 2019 ).

Faculty also commented that it was typical for them and other faculty to come up to campus only to teach their classes and then leave afterwards. They noted that their office block was often empty and noted instances when students have come looking for faculty only to find a locked office. Overall, faculty did report feeling congenial with, and supported by, their peers. They also desired a greater connection with their peers, but noted that it would require effort to build, which many were not willing to make.

Finally, student–faculty relationships were the most-rewarding experience for both groups. Students saw these experiences as highly encouraging and felt that they created a safe and welcoming environment where they could approach faculty to ask questions and get extra support. However, in some cases, students had negative experiences with faculty and these had an impact on their self-esteem, motivation and willingness to participate in class. Students’ negative experiences and feedback have been shown to result in declined levels of intrinsic motivation, even if their performance ability is not low (Weidinger et al., 2016 ).

Within the third dimension, institutional setting, a key strength was the small class sizes. With a maximum class size of 35 students, this created a more personal and welcoming environment for students. Students felt that their instructors got to know their names and this promoted more opportunities for interactions. Faculty concurred with this, indicating that the small classes provided greater opportunities for interactions with their students. This enabled more class discussions and grouped-based activities which contributed to a more engaging and interactive educational experience for students and faculty. For students, not being able to hide in the crowd of a large lecture hall, as is common in other university settings, encouraged them to work harder on their studies and to seek help from their instructor if needed.

Finally, both students and faculty commented that the lack of a sense of community was a negative aspect of the LE. This institution is known as a commuter school and both groups reported that they would often attend campus only for school/work and would leave as soon as their commitments were done. This limits opportunities to interact with others and could also potentially impact one’s identity as a member of this community. While both groups expressed a desire for more of a community life, neither group was willing to put in much effort to make this happen. Others have also found that sense of community, including opportunities to engage and interact with others, is important in LEs (e.g. Sadera et al., 2009 ). Schools with more activities and opportunities for student involvement have reports of higher satisfaction for both academic and social experiences (Charles et al., 2016 ).

Limitations

Because this study is based on a relatively small sample at a single university, there is a question of whether the findings can be applied to other departments, universities or contexts. However, it is a strength of this study that both student and faculty perceptions were included, because few past studies have jointly looked at these two groups together using qualitative methods. The use of focus groups among the student groups might have limited the openness of some participants. We also acknowledge that the analysis of qualitative data is inevitably influenced by our roles, life experiences and backgrounds. (The first author is a faculty member and the second and third authors were fourth year students at the time of the study.) This might have impacted our approach to the interpretation of the data compared with how others might approach the data and analysis (Denzin & Lincoln, 2008 ). However, the analysis involved consultation among the research team to identify and refine the themes, and the findings are presented with quotes to support the interpretation. Finally, because experiences were self-reported in this study, they have the associated limitations of self-report data. Despite these limitations, we believe that our findings add to what is known about LEs by capturing multiple perspectives within the same environment.

Future directions

Because our sample was comprised of students across multiple years of their program, some of our findings suggest that upper-level students might have different perceptions of the LE from lower-level students (e.g. work/life balance, access to resources, and overall familiarity with the environment and resources available). However, because the small sample sizes within these subgroups prevent any strong conclusions being made, future researchers might want to explore year-of-study differences in the LE. Additionally, the data collected for this study occurred prior to the COVID-19 pandemic and the mandatory switch to online teaching and learning. Future researchers might want to consider how this has impacted student and faculty perceptions of the LE regarding their personal motivation, the nature and quality of the relationships that have formed with peers and faculty, and the culture and norms of their institution.

This study increases our understanding of LEs by incorporating data collected from both students and faculty working in the same context. Across both groups, we identified important aspects of the LE as being high levels of engagement and motivation, a positive emotional climate, support among peers, strong faculty–student relationships, meaningful experiences, and small class sizes. Students identified negative aspects of the LE, such as certain characteristics of group work and struggles with work–life balance. Both faculty and students identified a lack of a sense of community as something that could detract from the LE. These findings identify important elements that educators and researchers might want to consider as they strive to promote more-positive LEs and learning experiences for students.

Appendix: Interview guide

[Faculty] Tell me a little bit about yourself. For instance, what department you are in, how long you have been teaching at KPU, what courses you teach, why you were interested in this study

• When I say the word learning environment, what does that mean to you?
• Probe for specific examples
• Relate to goal development, relationships, KPU culture
• Probe for factors that made it a positive environment
• Probe for factors that made it a negative environment
• How would you describe an ideal environment?
• Probe for reasons why
• Probe for how KPU could be made more ideal
• What recommendations would you give to the Dean of Arts regarding the learning environment? This could be changes you would recommend or things you recommend should stay the same.
• Do you have any final comments? Or feel there is anything about the learning environment that we have not addressed?

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Reflective Essay on Learning and Teaching

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Reflective My Learning Experience

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• Published: 24 January 2018

Teaching the science of learning

• Yana Weinstein   ORCID: orcid.org/0000-0002-5144-968X 1 ,
• Christopher R. Madan 2 , 3 &
• Megan A. Sumeracki 4  

Cognitive Research: Principles and Implications volume  3 , Article number:  2 ( 2018 ) Cite this article

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The science of learning has made a considerable contribution to our understanding of effective teaching and learning strategies. However, few instructors outside of the field are privy to this research. In this tutorial review, we focus on six specific cognitive strategies that have received robust support from decades of research: spaced practice, interleaving, retrieval practice, elaboration, concrete examples, and dual coding. We describe the basic research behind each strategy and relevant applied research, present examples of existing and suggested implementation, and make recommendations for further research that would broaden the reach of these strategies.

Significance

Education does not currently adhere to the medical model of evidence-based practice (Roediger, 2013 ). However, over the past few decades, our field has made significant advances in applying cognitive processes to education. From this work, specific recommendations can be made for students to maximize their learning efficiency (Dunlosky, Rawson, Marsh, Nathan, & Willingham, 2013 ; Roediger, Finn, & Weinstein, 2012 ). In particular, a review published 10 years ago identified a limited number of study techniques that have received solid evidence from multiple replications testing their effectiveness in and out of the classroom (Pashler et al., 2007 ). A recent textbook analysis (Pomerance, Greenberg, & Walsh, 2016 ) took the six key learning strategies from this report by Pashler and colleagues, and found that very few teacher-training textbooks cover any of these six principles – and none cover them all, suggesting that these strategies are not systematically making their way into the classroom. This is the case in spite of multiple recent academic (e.g., Dunlosky et al., 2013 ) and general audience (e.g., Dunlosky, 2013 ) publications about these strategies. In this tutorial review, we present the basic science behind each of these six key principles, along with more recent research on their effectiveness in live classrooms, and suggest ideas for pedagogical implementation. The target audience of this review is (a) educators who might be interested in integrating the strategies into their teaching practice, (b) science of learning researchers who are looking for open questions to help determine future research priorities, and (c) researchers in other subfields who are interested in the ways that principles from cognitive psychology have been applied to education.

While the typical teacher may not be exposed to this research during teacher training, a small cohort of teachers intensely interested in cognitive psychology has recently emerged. These teachers are mainly based in the UK, and, anecdotally (e.g., Dennis (2016), personal communication), appear to have taken an interest in the science of learning after reading Make it Stick (Brown, Roediger, & McDaniel, 2014 ; see Clark ( 2016 ) for an enthusiastic review of this book on a teacher’s blog, and “Learning Scientists” ( 2016c ) for a collection). In addition, a grassroots teacher movement has led to the creation of “researchED” – a series of conferences on evidence-based education (researchED, 2013 ). The teachers who form part of this network frequently discuss cognitive psychology techniques and their applications to education on social media (mainly Twitter; e.g., Fordham, 2016 ; Penfound, 2016 ) and on their blogs, such as Evidence Into Practice ( https://evidenceintopractice.wordpress.com/ ), My Learning Journey ( http://reflectionsofmyteaching.blogspot.com/ ), and The Effortful Educator ( https://theeffortfuleducator.com/ ). In general, the teachers who write about these issues pay careful attention to the relevant literature, often citing some of the work described in this review.

These informal writings, while allowing teachers to explore their approach to teaching practice (Luehmann, 2008 ), give us a unique window into the application of the science of learning to the classroom. By examining these blogs, we can not only observe how basic cognitive research is being applied in the classroom by teachers who are reading it, but also how it is being misapplied, and what questions teachers may be posing that have gone unaddressed in the scientific literature. Throughout this review, we illustrate each strategy with examples of how it can be implemented (see Table  1 and Figs.  1 , 2 , 3 , 4 , 5 , 6 and 7 ), as well as with relevant teacher blog posts that reflect on its application, and draw upon this work to pin-point fruitful avenues for further basic and applied research.

Spaced practice schedule for one week. This schedule is designed to represent a typical timetable of a high-school student. The schedule includes four one-hour study sessions, one longer study session on the weekend, and one rest day. Notice that each subject is studied one day after it is covered in school, to create spacing between classes and study sessions. Copyright note: this image was produced by the authors

a Blocked practice and interleaved practice with fraction problems. In the blocked version, students answer four multiplication problems consecutively. In the interleaved version, students answer a multiplication problem followed by a division problem and then an addition problem, before returning to multiplication. For an experiment with a similar setup, see Patel et al. ( 2016 ). Copyright note: this image was produced by the authors. b Illustration of interleaving and spacing. Each color represents a different homework topic. Interleaving involves alternating between topics, rather than blocking. Spacing involves distributing practice over time, rather than massing. Interleaving inherently involves spacing as other tasks naturally “fill” the spaces between interleaved sessions. Copyright note: this image was produced by the authors, adapted from Rohrer ( 2012 )

Concept map illustrating the process and resulting benefits of retrieval practice. Retrieval practice involves the process of withdrawing learned information from long-term memory into working memory, which requires effort. This produces direct benefits via the consolidation of learned information, making it easier to remember later and causing improvements in memory, transfer, and inferences. Retrieval practice also produces indirect benefits of feedback to students and teachers, which in turn can lead to more effective study and teaching practices, with a focus on information that was not accurately retrieved. Copyright note: this figure originally appeared in a blog post by the first and third authors ( http://www.learningscientists.org/blog/2016/4/1-1 )

Illustration of “how” and “why” questions (i.e., elaborative interrogation questions) students might ask while studying the physics of flight. To help figure out how physics explains flight, students might ask themselves the following questions: “How does a plane take off?”; “Why does a plane need an engine?”; “How does the upward force (lift) work?”; “Why do the wings have a curved upper surface and a flat lower surface?”; and “Why is there a downwash behind the wings?”. Copyright note: the image of the plane was downloaded from Pixabay.com and is free to use, modify, and share

Three examples of physics problems that would be categorized differently by novices and experts. The problems in ( a ) and ( c ) look similar on the surface, so novices would group them together into one category. Experts, however, will recognize that the problems in ( b ) and ( c ) both relate to the principle of energy conservation, and so will group those two problems into one category instead. Copyright note: the figure was produced by the authors, based on figures in Chi et al. ( 1981 )

Example of how to enhance learning through use of a visual example. Students might view this visual representation of neural communications with the words provided, or they could draw a similar visual representation themselves. Copyright note: this figure was produced by the authors

Example of word properties associated with visual, verbal, and motor coding for the word “SPOON”. A word can evoke multiple types of representation (“codes” in dual coding theory). Viewing a word will automatically evoke verbal representations related to its component letters and phonemes. Words representing objects (i.e., concrete nouns) will also evoke visual representations, including information about similar objects, component parts of the object, and information about where the object is typically found. In some cases, additional codes can also be evoked, such as motor-related properties of the represented object, where contextual information related to the object’s functional intention and manipulation action may also be processed automatically when reading the word. Copyright note: this figure was produced by the authors and is based on Aylwin ( 1990 ; Fig.  2 ) and Madan and Singhal ( 2012a , Fig.  3 )

Spaced practice

The benefits of spaced (or distributed) practice to learning are arguably one of the strongest contributions that cognitive psychology has made to education (Kang, 2016 ). The effect is simple: the same amount of repeated studying of the same information spaced out over time will lead to greater retention of that information in the long run, compared with repeated studying of the same information for the same amount of time in one study session. The benefits of distributed practice were first empirically demonstrated in the 19 th century. As part of his extensive investigation into his own memory, Ebbinghaus ( 1885/1913 ) found that when he spaced out repetitions across 3 days, he could almost halve the number of repetitions necessary to relearn a series of 12 syllables in one day (Chapter 8). He thus concluded that “a suitable distribution of [repetitions] over a space of time is decidedly more advantageous than the massing of them at a single time” (Section 34). For those who want to read more about Ebbinghaus’s contribution to memory research, Roediger ( 1985 ) provides an excellent summary.

Since then, hundreds of studies have examined spacing effects both in the laboratory and in the classroom (Kang, 2016 ). Spaced practice appears to be particularly useful at large retention intervals: in the meta-analysis by Cepeda, Pashler, Vul, Wixted, and Rohrer ( 2006 ), all studies with a retention interval longer than a month showed a clear benefit of distributed practice. The “new theory of disuse” (Bjork & Bjork, 1992 ) provides a helpful mechanistic explanation for the benefits of spacing to learning. This theory posits that memories have both retrieval strength and storage strength. Whereas retrieval strength is thought to measure the ease with which a memory can be recalled at a given moment, storage strength (which cannot be measured directly) represents the extent to which a memory is truly embedded in the mind. When studying is taking place, both retrieval strength and storage strength receive a boost. However, the extent to which storage strength is boosted depends upon retrieval strength, and the relationship is negative: the greater the current retrieval strength, the smaller the gains in storage strength. Thus, the information learned through “cramming” will be rapidly forgotten due to high retrieval strength and low storage strength (Bjork & Bjork, 2011 ), whereas spacing out learning increases storage strength by allowing retrieval strength to wane before restudy.

Teachers can introduce spacing to their students in two broad ways. One involves creating opportunities to revisit information throughout the semester, or even in future semesters. This does involve some up-front planning, and can be difficult to achieve, given time constraints and the need to cover a set curriculum. However, spacing can be achieved with no great costs if teachers set aside a few minutes per class to review information from previous lessons. The second method involves putting the onus to space on the students themselves. Of course, this would work best with older students – high school and above. Because spacing requires advance planning, it is crucial that the teacher helps students plan their studying. For example, teachers could suggest that students schedule study sessions on days that alternate with the days on which a particular class meets (e.g., schedule review sessions for Tuesday and Thursday when the class meets Monday and Wednesday; see Fig.  1 for a more complete weekly spaced practice schedule). It important to note that the spacing effect refers to information that is repeated multiple times, rather than the idea of studying different material in one long session versus spaced out in small study sessions over time. However, for teachers and particularly for students planning a study schedule, the subtle difference between the two situations (spacing out restudy opportunities, versus spacing out studying of different information over time) may be lost. Future research should address the effects of spacing out studying of different information over time, whether the same considerations apply in this situation as compared to spacing out restudy opportunities, and how important it is for teachers and students to understand the difference between these two types of spaced practice.

It is important to note that students may feel less confident when they space their learning (Bjork, 1999 ) than when they cram. This is because spaced learning is harder – but it is this “desirable difficulty” that helps learning in the long term (Bjork, 1994 ). Students tend to cram for exams rather than space out their learning. One explanation for this is that cramming does “work”, if the goal is only to pass an exam. In order to change students’ minds about how they schedule their studying, it might be important to emphasize the value of retaining information beyond a final exam in one course.

Ideas for how to apply spaced practice in teaching have appeared in numerous teacher blogs (e.g., Fawcett, 2013 ; Kraft, 2015 ; Picciotto, 2009 ). In England in particular, as of 2013, high-school students need to be able to remember content from up to 3 years back on cumulative exams (General Certificate of Secondary Education (GCSE) and A-level exams; see CIFE, 2012 ). A-levels in particular determine what subject students study in university and which programs they are accepted into, and thus shape the path of their academic career. A common approach for dealing with these exams has been to include a “revision” (i.e., studying or cramming) period of a few weeks leading up to the high-stakes cumulative exams. Now, teachers who follow cognitive psychology are advocating a shift of priorities to spacing learning over time across the 3 years, rather than teaching a topic once and then intensely reviewing it weeks before the exam (Cox, 2016a ; Wood, 2017 ). For example, some teachers have suggested using homework assignments as an opportunity for spaced practice by giving students homework on previous topics (Rose, 2014 ). However, questions remain, such as whether spaced practice can ever be effective enough to completely alleviate the need or utility of a cramming period (Cox, 2016b ), and how one can possibly figure out the optimal lag for spacing (Benney, 2016 ; Firth, 2016 ).

There has been considerable research on the question of optimal lag, and much of it is quite complex; two sessions neither too close together (i.e., cramming) nor too far apart are ideal for retention. In a large-scale study, Cepeda, Vul, Rohrer, Wixted, and Pashler ( 2008 ) examined the effects of the gap between study sessions and the interval between study and test across long periods, and found that the optimal gap between study sessions was contingent on the retention interval. Thus, it is not clear how teachers can apply the complex findings on lag to their own classrooms.

A useful avenue of research would be to simplify the research paradigms that are used to study optimal lag, with the goal of creating a flexible, spaced-practice framework that teachers could apply and tailor to their own teaching needs. For example, an Excel macro spreadsheet was recently produced to help teachers plan for lagged lessons (Weinstein-Jones & Weinstein, 2017 ; see Weinstein & Weinstein-Jones ( 2017 ) for a description of the algorithm used in the spreadsheet), and has been used by teachers to plan their lessons (Penfound, 2017 ). However, one teacher who found this tool helpful also wondered whether the more sophisticated plan was any better than his own method of manually selecting poorly understood material from previous classes for later review (Lovell, 2017 ). This direction is being actively explored within personalized online learning environments (Kornell & Finn, 2016 ; Lindsey, Shroyer, Pashler, & Mozer, 2014 ), but teachers in physical classrooms might need less technologically-driven solutions to teach cohorts of students.

It seems teachers would greatly appreciate a set of guidelines for how to implement spacing in the curriculum in the most effective, but also the most efficient manner. While the cognitive field has made great advances in terms of understanding the mechanisms behind spacing, what teachers need more of are concrete evidence-based tools and guidelines for direct implementation in the classroom. These could include more sophisticated and experimentally tested versions of the software described above (Weinstein-Jones & Weinstein, 2017 ), or adaptable templates of spaced curricula. Moreover, researchers need to evaluate the effectiveness of these tools in a real classroom environment, over a semester or academic year, in order to give pedagogically relevant evidence-based recommendations to teachers.

Interleaving

Another scheduling technique that has been shown to increase learning is interleaving. Interleaving occurs when different ideas or problem types are tackled in a sequence, as opposed to the more common method of attempting multiple versions of the same problem in a given study session (known as blocking). Interleaving as a principle can be applied in many different ways. One such way involves interleaving different types of problems during learning, which is particularly applicable to subjects such as math and physics (see Fig.  2 a for an example with fractions, based on a study by Patel, Liu, & Koedinger, 2016 ). For example, in a study with college students, Rohrer and Taylor ( 2007 ) found that shuffling math problems that involved calculating the volume of different shapes resulted in better test performance 1 week later than when students answered multiple problems about the same type of shape in a row. This pattern of results has also been replicated with younger students, for example 7 th grade students learning to solve graph and slope problems (Rohrer, Dedrick, & Stershic, 2015 ). The proposed explanation for the benefit of interleaving is that switching between different problem types allows students to acquire the ability to choose the right method for solving different types of problems rather than learning only the method itself, and not when to apply it.

Do the benefits of interleaving extend beyond problem solving? The answer appears to be yes. Interleaving can be helpful in other situations that require discrimination, such as inductive learning. Kornell and Bjork ( 2008 ) examined the effects of interleaving in a task that might be pertinent to a student of the history of art: the ability to match paintings to their respective painters. Students who studied different painters’ paintings interleaved at study were more successful on a later identification test than were participants who studied the paintings blocked by painter. Birnbaum, Kornell, Bjork, and Bjork ( 2013 ) proposed the discriminative-contrast hypothesis to explain that interleaving enhances learning by allowing the comparison between exemplars of different categories. They found support for this hypothesis in a set of experiments with bird categorization: participants benefited from interleaving and also from spacing, but not when the spacing interrupted side-by-side comparisons of birds from different categories.

Another type of interleaving involves the interleaving of study and test opportunities. This type of interleaving has been applied, once again, to problem solving, whereby students alternate between attempting a problem and viewing a worked example (Trafton & Reiser, 1993 ); this pattern appears to be superior to answering a string of problems in a row, at least with respect to the amount of time it takes to achieve mastery of a procedure (Corbett, Reed, Hoffmann, MacLaren, & Wagner, 2010 ). The benefits of interleaving study and test opportunities – rather than blocking study followed by attempting to answer problems or questions – might arise due to a process known as “test-potentiated learning”. That is, a study opportunity that immediately follows a retrieval attempt may be more fruitful than when that same studying was not preceded by retrieval (Arnold & McDermott, 2013 ).

For problem-based subjects, the interleaving technique is straightforward: simply mix questions on homework and quizzes with previous materials (which takes care of spacing as well); for languages, mix vocabulary themes rather than blocking by theme (Thomson & Mehring, 2016 ). But interleaving as an educational strategy ought to be presented to teachers with some caveats. Research has focused on interleaving material that is somewhat related (e.g., solving different mathematical equations, Rohrer et al., 2015 ), whereas students sometimes ask whether they should interleave material from different subjects – a practice that has not received empirical support (Hausman & Kornell, 2014 ). When advising students how to study independently, teachers should thus proceed with caution. Since it is easy for younger students to confuse this type of unhelpful interleaving with the more helpful interleaving of related information, it may be best for teachers of younger grades to create opportunities for interleaving in homework and quiz assignments rather than putting the onus on the students themselves to make use of the technique. Technology can be very helpful here, with apps such as Quizlet, Memrise, Anki, Synap, Quiz Champ, and many others (see also “Learning Scientists”, 2017 ) that not only allow instructor-created quizzes to be taken by students, but also provide built-in interleaving algorithms so that the burden does not fall on the teacher or the student to carefully plan which items are interleaved when.

An important point to consider is that in educational practice, the distinction between spacing and interleaving can be difficult to delineate. The gap between the scientific and classroom definitions of interleaving is demonstrated by teachers’ own writings about this technique. When they write about interleaving, teachers often extend the term to connote a curriculum that involves returning to topics multiple times throughout the year (e.g., Kirby, 2014 ; see “Learning Scientists” ( 2016a ) for a collection of similar blog posts by several other teachers). The “interleaving” of topics throughout the curriculum produces an effect that is more akin to what cognitive psychologists call “spacing” (see Fig.  2 b for a visual representation of the difference between interleaving and spacing). However, cognitive psychologists have not examined the effects of structuring the curriculum in this way, and open questions remain: does repeatedly circling back to previous topics throughout the semester interrupt the learning of new information? What are some effective techniques for interleaving old and new information within one class? And how does one determine the balance between old and new information?

Retrieval practice

While tests are most often used in educational settings for assessment, a lesser-known benefit of tests is that they actually improve memory of the tested information. If we think of our memories as libraries of information, then it may seem surprising that retrieval (which happens when we take a test) improves memory; however, we know from a century of research that retrieving knowledge actually strengthens it (see Karpicke, Lehman, & Aue, 2014 ). Testing was shown to strengthen memory as early as 100 years ago (Gates, 1917 ), and there has been a surge of research in the last decade on the mnemonic benefits of testing, or retrieval practice . Most of the research on the effectiveness of retrieval practice has been done with college students (see Roediger & Karpicke, 2006 ; Roediger, Putnam, & Smith, 2011 ), but retrieval-based learning has been shown to be effective at producing learning for a wide range of ages, including preschoolers (Fritz, Morris, Nolan, & Singleton, 2007 ), elementary-aged children (e.g., Karpicke, Blunt, & Smith, 2016 ; Karpicke, Blunt, Smith, & Karpicke, 2014 ; Lipko-Speed, Dunlosky, & Rawson, 2014 ; Marsh, Fazio, & Goswick, 2012 ; Ritchie, Della Sala, & McIntosh, 2013 ), middle-school students (e.g., McDaniel, Thomas, Agarwal, McDermott, & Roediger, 2013 ; McDermott, Agarwal, D’Antonio, Roediger, & McDaniel, 2014 ), and high-school students (e.g., McDermott et al., 2014 ). In addition, the effectiveness of retrieval-based learning has been extended beyond simple testing to other activities in which retrieval practice can be integrated, such as concept mapping (Blunt & Karpicke, 2014 ; Karpicke, Blunt, et al., 2014 ; Ritchie et al., 2013 ).

A debate is currently ongoing as to the effectiveness of retrieval practice for more complex materials (Karpicke & Aue, 2015 ; Roelle & Berthold, 2017 ; Van Gog & Sweller, 2015 ). Practicing retrieval has been shown to improve the application of knowledge to new situations (e.g., Butler, 2010 ; Dirkx, Kester, & Kirschner, 2014 ); McDaniel et al., 2013 ; Smith, Blunt, Whiffen, & Karpicke, 2016 ); but see Tran, Rohrer, and Pashler ( 2015 ) and Wooldridge, Bugg, McDaniel, and Liu ( 2014 ), for retrieval practice studies that showed limited or no increased transfer compared to restudy. Retrieval practice effects on higher-order learning may be more sensitive than fact learning to encoding factors, such as the way material is presented during study (Eglington & Kang, 2016 ). In addition, retrieval practice may be more beneficial for higher-order learning if it includes more scaffolding (Fiechter & Benjamin, 2017 ; but see Smith, Blunt, et al., 2016 ) and targeted practice with application questions (Son & Rivas, 2016 ).

How does retrieval practice help memory? Figure  3 illustrates both the direct and indirect benefits of retrieval practice identified by the literature. The act of retrieval itself is thought to strengthen memory (Karpicke, Blunt, et al., 2014 ; Roediger & Karpicke, 2006 ; Smith, Roediger, & Karpicke, 2013 ). For example, Smith et al. ( 2013 ) showed that if students brought information to mind without actually producing it (covert retrieval), they remembered the information just as well as if they overtly produced the retrieved information (overt retrieval). Importantly, both overt and covert retrieval practice improved memory over control groups without retrieval practice, even when feedback was not provided. The fact that bringing information to mind in the absence of feedback or restudy opportunities improves memory leads researchers to conclude that it is the act of retrieval – thinking back to bring information to mind – that improves memory of that information.

The benefit of retrieval practice depends to a certain extent on successful retrieval (see Karpicke, Lehman, et al., 2014 ). For example, in Experiment 4 of Smith et al. ( 2013 ), students successfully retrieved 72% of the information during retrieval practice. Of course, retrieving 72% of the information was compared to a restudy control group, during which students were re-exposed to 100% of the information, creating a bias in favor of the restudy condition. Yet retrieval led to superior memory later compared to the restudy control. However, if retrieval success is extremely low, then it is unlikely to improve memory (e.g., Karpicke, Blunt, et al., 2014 ), particularly in the absence of feedback. On the other hand, if retrieval-based learning situations are constructed in such a way that ensures high levels of success, the act of bringing the information to mind may be undermined, thus making it less beneficial. For example, if a student reads a sentence and then immediately covers the sentence and recites it out loud, they are likely not retrieving the information but rather just keeping the information in their working memory long enough to recite it again (see Smith, Blunt, et al., 2016 for a discussion of this point). Thus, it is important to balance success of retrieval with overall difficulty in retrieving the information (Smith & Karpicke, 2014 ; Weinstein, Nunes, & Karpicke, 2016 ). If initial retrieval success is low, then feedback can help improve the overall benefit of practicing retrieval (Kang, McDermott, & Roediger, 2007 ; Smith & Karpicke, 2014 ). Kornell, Klein, and Rawson ( 2015 ), however, found that it was the retrieval attempt and not the correct production of information that produced the retrieval practice benefit – as long as the correct answer was provided after an unsuccessful attempt, the benefit was the same as for a successful retrieval attempt in this set of studies. From a practical perspective, it would be helpful for teachers to know when retrieval attempts in the absence of success are helpful, and when they are not. There may also be additional reasons beyond retrieval benefits that would push teachers towards retrieval practice activities that produce some success amongst students; for example, teachers may hesitate to give students retrieval practice exercises that are too difficult, as this may negatively affect self-efficacy and confidence.

In addition to the fact that bringing information to mind directly improves memory for that information, engaging in retrieval practice can produce indirect benefits as well (see Roediger et al., 2011 ). For example, research by Weinstein, Gilmore, Szpunar, and McDermott ( 2014 ) demonstrated that when students expected to be tested, the increased test expectancy led to better-quality encoding of new information. Frequent testing can also serve to decrease mind-wandering – that is, thoughts that are unrelated to the material that students are supposed to be studying (Szpunar, Khan, & Schacter, 2013 ).

Practicing retrieval is a powerful way to improve meaningful learning of information, and it is relatively easy to implement in the classroom. For example, requiring students to practice retrieval can be as simple as asking students to put their class materials away and try to write out everything they know about a topic. Retrieval-based learning strategies are also flexible. Instructors can give students practice tests (e.g., short-answer or multiple-choice, see Smith & Karpicke, 2014 ), provide open-ended prompts for the students to recall information (e.g., Smith, Blunt, et al., 2016 ) or ask their students to create concept maps from memory (e.g., Blunt & Karpicke, 2014 ). In one study, Weinstein et al. ( 2016 ) looked at the effectiveness of inserting simple short-answer questions into online learning modules to see whether they improved student performance. Weinstein and colleagues also manipulated the placement of the questions. For some students, the questions were interspersed throughout the module, and for other students the questions were all presented at the end of the module. Initial success on the short-answer questions was higher when the questions were interspersed throughout the module. However, on a later test of learning from that module, the original placement of the questions in the module did not matter for performance. As with spaced practice, where the optimal gap between study sessions is contingent on the retention interval, the optimum difficulty and level of success during retrieval practice may also depend on the retention interval. Both groups of students who answered questions performed better on the delayed test compared to a control group without question opportunities during the module. Thus, the important thing is for instructors to provide opportunities for retrieval practice during learning. Based on previous research, any activity that promotes the successful retrieval of information should improve learning.

Retrieval practice has received a lot of attention in teacher blogs (see “Learning Scientists” ( 2016b ) for a collection). A common theme seems to be an emphasis on low-stakes (Young, 2016 ) and even no-stakes (Cox, 2015 ) testing, the goal of which is to increase learning rather than assess performance. In fact, one well-known charter school in the UK has an official homework policy grounded in retrieval practice: students are to test themselves on subject knowledge for 30 minutes every day in lieu of standard homework (Michaela Community School, 2014 ). The utility of homework, particularly for younger children, is often a hotly debated topic outside of academia (e.g., Shumaker, 2016 ; but see Jones ( 2016 ) for an opposing viewpoint and Cooper ( 1989 ) for the original research the blog posts were based on). Whereas some research shows clear links between homework and academic achievement (Valle et al., 2016 ), other researchers have questioned the effectiveness of homework (Dettmers, Trautwein, & Lüdtke, 2009 ). Perhaps amending homework to involve retrieval practice might make it more effective; this remains an open empirical question.

One final consideration is that of test anxiety. While retrieval practice can be very powerful at improving memory, some research shows that pressure during retrieval can undermine some of the learning benefit. For example, Hinze and Rapp ( 2014 ) manipulated pressure during quizzing to create high-pressure and low-pressure conditions. On the quizzes themselves, students performed equally well. However, those in the high-pressure condition did not perform as well on a criterion test later compared to the low-pressure group. Thus, test anxiety may reduce the learning benefit of retrieval practice. Eliminating all high-pressure tests is probably not possible, but instructors can provide a number of low-stakes retrieval opportunities for students to help increase learning. The use of low-stakes testing can serve to decrease test anxiety (Khanna, 2015 ), and has recently been shown to negate the detrimental impact of stress on learning (Smith, Floerke, & Thomas, 2016 ). This is a particularly important line of inquiry to pursue for future research, because many teachers who are not familiar with the effectiveness of retrieval practice may be put off by the implied pressure of “testing”, which evokes the much maligned high-stakes standardized tests (e.g., McHugh, 2013 ).

Elaboration

Elaboration involves connecting new information to pre-existing knowledge. Anderson ( 1983 , p.285) made the following claim about elaboration: “One of the most potent manipulations that can be performed in terms of increasing a subject’s memory for material is to have the subject elaborate on the to-be-remembered material.” Postman ( 1976 , p. 28) defined elaboration most parsimoniously as “additions to nominal input”, and Hirshman ( 2001 , p. 4369) provided an elaboration on this definition (pun intended!), defining elaboration as “A conscious, intentional process that associates to-be-remembered information with other information in memory.” However, in practice, elaboration could mean many different things. The common thread in all the definitions is that elaboration involves adding features to an existing memory.

One possible instantiation of elaboration is thinking about information on a deeper level. The levels (or “depth”) of processing framework, proposed by Craik and Lockhart ( 1972 ), predicts that information will be remembered better if it is processed more deeply in terms of meaning, rather than shallowly in terms of form. The leves of processing framework has, however, received a number of criticisms (Craik, 2002 ). One major problem with this framework is that it is difficult to measure “depth”. And if we are not able to actually measure depth, then the argument can become circular: is it that something was remembered better because it was studied more deeply, or do we conclude that it must have been studied more deeply because it is remembered better? (See Lockhart & Craik, 1990 , for further discussion of this issue).

Another mechanism by which elaboration can confer a benefit to learning is via improvement in organization (Bellezza, Cheesman, & Reddy, 1977 ; Mandler, 1979 ). By this view, elaboration involves making information more integrated and organized with existing knowledge structures. By connecting and integrating the to-be-learned information with other concepts in memory, students can increase the extent to which the ideas are organized in their minds, and this increased organization presumably facilitates the reconstruction of the past at the time of retrieval.

Elaboration is such a broad term and can include so many different techniques that it is hard to claim that elaboration will always help learning. There is, however, a specific technique under the umbrella of elaboration for which there is relatively strong evidence in terms of effectiveness (Dunlosky et al., 2013 ; Pashler et al., 2007 ). This technique is called elaborative interrogation, and involves students questioning the materials that they are studying (Pressley, McDaniel, Turnure, Wood, & Ahmad, 1987 ). More specifically, students using this technique would ask “how” and “why” questions about the concepts they are studying (see Fig.  4 for an example on the physics of flight). Then, crucially, students would try to answer these questions – either from their materials or, eventually, from memory (McDaniel & Donnelly, 1996 ). The process of figuring out the answer to the questions – with some amount of uncertainty (Overoye & Storm, 2015 ) – can help learning. When using this technique, however, it is important that students check their answers with their materials or with the teacher; when the content generated through elaborative interrogation is poor, it can actually hurt learning (Clinton, Alibali, & Nathan, 2016 ).

Students can also be encouraged to self-explain concepts to themselves while learning (Chi, De Leeuw, Chiu, & LaVancher, 1994 ). This might involve students simply saying out loud what steps they need to perform to solve an equation. Aleven and Koedinger ( 2002 ) conducted two classroom studies in which students were either prompted by a “cognitive tutor” to provide self-explanations during a problem-solving task or not, and found that the self-explanations led to improved performance. According to the authors, this approach could scale well to real classrooms. If possible and relevant, students could even perform actions alongside their self-explanations (Cohen, 1981 ; see also the enactment effect, Hainselin, Picard, Manolli, Vankerkore-Candas, & Bourdin, 2017 ). Instructors can scaffold students in these types of activities by providing self-explanation prompts throughout to-be-learned material (O’Neil et al., 2014 ). Ultimately, the greatest potential benefit of accurate self-explanation or elaboration is that the student will be able to transfer their knowledge to a new situation (Rittle-Johnson, 2006 ).

The technical term “elaborative interrogation” has not made it into the vernacular of educational bloggers (a search on https://educationechochamberuncut.wordpress.com , which consolidates over 3,000 UK-based teacher blogs, yielded zero results for that term). However, a few teachers have blogged about elaboration more generally (e.g., Hobbiss, 2016 ) and deep questioning specifically (e.g., Class Teaching, 2013 ), just without using the specific terminology. This strategy in particular may benefit from a more open dialog between researchers and teachers to facilitate the use of elaborative interrogation in the classroom and to address possible barriers to implementation. In terms of advancing the scientific understanding of elaborative interrogation in a classroom setting, it would be informative to conduct a larger-scale intervention to see whether having students elaborate during reading actually helps their understanding. It would also be useful to know whether the students really need to generate their own elaborative interrogation (“how” and “why”) questions, versus answering questions provided by others. How long should students persist to find the answers? When is the right time to have students engage in this task, given the levels of expertise required to do it well (Clinton et al., 2016 )? Without knowing the answers to these questions, it may be too early for us to instruct teachers to use this technique in their classes. Finally, elaborative interrogation takes a long time. Is this time efficiently spent? Or, would it be better to have the students try to answer a few questions, pool their information as a class, and then move to practicing retrieval of the information?

Concrete examples

Providing supporting information can improve the learning of key ideas and concepts. Specifically, using concrete examples to supplement content that is more conceptual in nature can make the ideas easier to understand and remember. Concrete examples can provide several advantages to the learning process: (a) they can concisely convey information, (b) they can provide students with more concrete information that is easier to remember, and (c) they can take advantage of the superior memorability of pictures relative to words (see “Dual Coding”).

Words that are more concrete are both recognized and recalled better than abstract words (Gorman, 1961 ; e.g., “button” and “bound,” respectively). Furthermore, it has been demonstrated that information that is more concrete and imageable enhances the learning of associations, even with abstract content (Caplan & Madan, 2016 ; Madan, Glaholt, & Caplan, 2010 ; Paivio, 1971 ). Following from this, providing concrete examples during instruction should improve retention of related abstract concepts, rather than the concrete examples alone being remembered better. Concrete examples can be useful both during instruction and during practice problems. Having students actively explain how two examples are similar and encouraging them to extract the underlying structure on their own can also help with transfer. In a laboratory study, Berry ( 1983 ) demonstrated that students performed well when given concrete practice problems, regardless of the use of verbalization (akin to elaborative interrogation), but that verbalization helped students transfer understanding from concrete to abstract problems. One particularly important area of future research is determining how students can best make the link between concrete examples and abstract ideas.

Since abstract concepts are harder to grasp than concrete information (Paivio, Walsh, & Bons, 1994 ), it follows that teachers ought to illustrate abstract ideas with concrete examples. However, care must be taken when selecting the examples. LeFevre and Dixon ( 1986 ) provided students with both concrete examples and abstract instructions and found that when these were inconsistent, students followed the concrete examples rather than the abstract instructions, potentially constraining the application of the abstract concept being taught. Lew, Fukawa-Connelly, Mejí-Ramos, and Weber ( 2016 ) used an interview approach to examine why students may have difficulty understanding a lecture. Responses indicated that some issues were related to understanding the overarching topic rather than the component parts, and to the use of informal colloquialisms that did not clearly follow from the material being taught. Both of these issues could have potentially been addressed through the inclusion of a greater number of relevant concrete examples.

One concern with using concrete examples is that students might only remember the examples – especially if they are particularly memorable, such as fun or gimmicky examples – and will not be able to transfer their understanding from one example to another, or more broadly to the abstract concept. However, there does not seem to be any evidence that fun relevant examples actually hurt learning by harming memory for important information. Instead, fun examples and jokes tend to be more memorable, but this boost in memory for the joke does not seem to come at a cost to memory for the underlying concept (Baldassari & Kelley, 2012 ). However, two important caveats need to be highlighted. First, to the extent that the more memorable content is not relevant to the concepts of interest, learning of the target information can be compromised (Harp & Mayer, 1998 ). Thus, care must be taken to ensure that all examples and gimmicks are, in fact, related to the core concepts that the students need to acquire, and do not contain irrelevant perceptual features (Kaminski & Sloutsky, 2013 ).

The second issue is that novices often notice and remember the surface details of an example rather than the underlying structure. Experts, on the other hand, can extract the underlying structure from examples that have divergent surface features (Chi, Feltovich, & Glaser, 1981 ; see Fig.  5 for an example from physics). Gick and Holyoak ( 1983 ) tried to get students to apply a rule from one problem to another problem that appeared different on the surface, but was structurally similar. They found that providing multiple examples helped with this transfer process compared to only using one example – especially when the examples provided had different surface details. More work is also needed to determine how many examples are sufficient for generalization to occur (and this, of course, will vary with contextual factors and individual differences). Further research on the continuum between concrete/specific examples and more abstract concepts would also be informative. That is, if an example is not concrete enough, it may be too difficult to understand. On the other hand, if the example is too concrete, that could be detrimental to generalization to the more abstract concept (although a diverse set of very concrete examples may be able to help with this). In fact, in a controversial article, Kaminski, Sloutsky, and Heckler ( 2008 ) claimed that abstract examples were more effective than concrete examples. Later rebuttals of this paper contested whether the abstract versus concrete distinction was clearly defined in the original study (see Reed, 2008 , for a collection of letters on the subject). This ideal point along the concrete-abstract continuum might also interact with development.

Finding teacher blog posts on concrete examples proved to be more difficult than for the other strategies in this review. One optimistic possibility is that teachers frequently use concrete examples in their teaching, and thus do not think of this as a specific contribution from cognitive psychology; the one blog post we were able to find that discussed concrete examples suggests that this might be the case (Boulton, 2016 ). The idea of “linking abstract concepts with concrete examples” is also covered in 25% of teacher-training textbooks used in the US, according to the report by Pomerance et al. ( 2016 ); this is the second most frequently covered of the six strategies, after “posing probing questions” (i.e., elaborative interrogation). A useful direction for future research would be to establish how teachers are using concrete examples in their practice, and whether we can make any suggestions for improvement based on research into the science of learning. For example, if two examples are better than one (Bauernschmidt, 2017 ), are additional examples also needed, or are there diminishing returns from providing more examples? And, how can teachers best ensure that concrete examples are consistent with prior knowledge (Reed, 2008 )?

Dual coding

Both the memory literature and folk psychology support the notion of visual examples being beneficial—the adage of “a picture is worth a thousand words” (traced back to an advertising slogan from the 1920s; Meider, 1990 ). Indeed, it is well-understood that more information can be conveyed through a simple illustration than through several paragraphs of text (e.g., Barker & Manji, 1989 ; Mayer & Gallini, 1990 ). Illustrations can be particularly helpful when the described concept involves several parts or steps and is intended for individuals with low prior knowledge (Eitel & Scheiter, 2015 ; Mayer & Gallini, 1990 ). Figure  6 provides a concrete example of this, illustrating how information can flow through neurons and synapses.

In addition to being able to convey information more succinctly, pictures are also more memorable than words (Paivio & Csapo, 1969 , 1973 ). In the memory literature, this is referred to as the picture superiority effect , and dual coding theory was developed in part to explain this effect. Dual coding follows from the notion of text being accompanied by complementary visual information to enhance learning. Paivio ( 1971 , 1986 ) proposed dual coding theory as a mechanistic account for the integration of multiple information “codes” to process information. In this theory, a code corresponds to a modal or otherwise distinct representation of a concept—e.g., “mental images for ‘book’ have visual, tactual, and other perceptual qualities similar to those evoked by the referent objects on which the images are based” (Clark & Paivio, 1991 , p. 152). Aylwin ( 1990 ) provides a clear example of how the word “dog” can evoke verbal, visual, and enactive representations (see Fig.  7 for a similar example for the word “SPOON”, based on Aylwin, 1990 (Fig.  2 ) and Madan & Singhal, 2012a (Fig.  3 )). Codes can also correspond to emotional properties (Clark & Paivio, 1991 ; Paivio, 2013 ). Clark and Paivio ( 1991 ) provide a thorough review of dual coding theory and its relation to education, while Paivio ( 2007 ) provides a comprehensive treatise on dual coding theory. Broadly, dual coding theory suggests that providing multiple representations of the same information enhances learning and memory, and that information that more readily evokes additional representations (through automatic imagery processes) receives a similar benefit.

Paivio and Csapo ( 1973 ) suggest that verbal and imaginal codes have independent and additive effects on memory recall. Using visuals to improve learning and memory has been particularly applied to vocabulary learning (Danan, 1992 ; Sadoski, 2005 ), but has also shown success in other domains such as in health care (Hartland, Biddle, & Fallacaro, 2008 ). To take advantage of dual coding, verbal information should be accompanied by a visual representation when possible. However, while the studies discussed all indicate that the use of multiple representations of information is favorable, it is important to acknowledge that each representation also increases cognitive load and can lead to over-saturation (Mayer & Moreno, 2003 ).

Given that pictures are generally remembered better than words, it is important to ensure that the pictures students are provided with are helpful and relevant to the content they are expected to learn. McNeill, Uttal, Jarvin, and Sternberg ( 2009 ) found that providing visual examples decreased conceptual errors. However, McNeill et al. also found that when students were given visually rich examples, they performed more poorly than students who were not given any visual example, suggesting that the visual details can at times become a distraction and hinder performance. Thus, it is important to consider that images used in teaching are clear and not ambiguous in their meaning (Schwartz, 2007 ).

Further broadening the scope of dual coding theory, Engelkamp and Zimmer ( 1984 ) suggest that motor movements, such as “turning the handle,” can provide an additional motor code that can improve memory, linking studies of motor actions (enactment) with dual coding theory (Clark & Paivio, 1991 ; Engelkamp & Cohen, 1991 ; Madan & Singhal, 2012c ). Indeed, enactment effects appear to primarily occur during learning, rather than during retrieval (Peterson & Mulligan, 2010 ). Along similar lines, Wammes, Meade, and Fernandes ( 2016 ) demonstrated that generating drawings can provide memory benefits beyond what could otherwise be explained by visual imagery, picture superiority, and other memory enhancing effects. Providing convergent evidence, even when overt motor actions are not critical in themselves, words representing functional objects have been shown to enhance later memory (Madan & Singhal, 2012b ; Montefinese, Ambrosini, Fairfield, & Mammarella, 2013 ). This indicates that motoric processes can improve memory similarly to visual imagery, similar to memory differences for concrete vs. abstract words. Further research suggests that automatic motor simulation for functional objects is likely responsible for this memory benefit (Madan, Chen, & Singhal, 2016 ).

When teachers combine visuals and words in their educational practice, however, they may not always be taking advantage of dual coding – at least, not in the optimal manner. For example, a recent discussion on Twitter centered around one teacher’s decision to have 7 th Grade students replace certain words in their science laboratory report with a picture of that word (e.g., the instructions read “using a syringe …” and a picture of a syringe replaced the word; Turner, 2016a ). Other teachers argued that this was not dual coding (Beaven, 2016 ; Williams, 2016 ), because there were no longer two different representations of the information. The first teacher maintained that dual coding was preserved, because this laboratory report with pictures was to be used alongside the original, fully verbal report (Turner, 2016b ). This particular implementation – having students replace individual words with pictures – has not been examined in the cognitive literature, presumably because no benefit would be expected. In any case, we need to be clearer about implementations for dual coding, and more research is needed to clarify how teachers can make use of the benefits conferred by multiple representations and picture superiority.

Critically, dual coding theory is distinct from the notion of “learning styles,” which describe the idea that individuals benefit from instruction that matches their modality preference. While this idea is pervasive and individuals often subjectively feel that they have a preference, evidence indicates that the learning styles theory is not supported by empirical findings (e.g., Kavale, Hirshoren, & Forness, 1998 ; Pashler, McDaniel, Rohrer, & Bjork, 2008 ; Rohrer & Pashler, 2012 ). That is, there is no evidence that instructing students in their preferred learning style leads to an overall improvement in learning (the “meshing” hypothesis). Moreover, learning styles have come to be described as a myth or urban legend within psychology (Coffield, Moseley, Hall, & Ecclestone, 2004 ; Hattie & Yates, 2014 ; Kirschner & van Merriënboer, 2013 ; Kirschner, 2017 ); skepticism about learning styles is a common stance amongst evidence-informed teachers (e.g., Saunders, 2016 ). Providing evidence against the notion of learning styles, Kraemer, Rosenberg, and Thompson-Schill ( 2009 ) found that individuals who scored as “verbalizers” and “visualizers” did not perform any better on experimental trials matching their preference. Instead, it has recently been shown that learning through one’s preferred learning style is associated with elevated subjective judgements of learning, but not objective performance (Knoll, Otani, Skeel, & Van Horn, 2017 ). In contrast to learning styles, dual coding is based on providing additional, complementary forms of information to enhance learning, rather than tailoring instruction to individuals’ preferences.

Genuine educational environments present many opportunities for combining the strategies outlined above. Spacing can be particularly potent for learning if it is combined with retrieval practice. The additive benefits of retrieval practice and spacing can be gained by engaging in retrieval practice multiple times (also known as distributed practice; see Cepeda et al., 2006 ). Interleaving naturally entails spacing if students interleave old and new material. Concrete examples can be both verbal and visual, making use of dual coding. In addition, the strategies of elaboration, concrete examples, and dual coding all work best when used as part of retrieval practice. For example, in the concept-mapping studies mentioned above (Blunt & Karpicke, 2014 ; Karpicke, Blunt, et al., 2014 ), creating concept maps while looking at course materials (e.g., a textbook) was not as effective for later memory as creating concept maps from memory. When practicing elaborative interrogation, students can start off answering the “how” and “why” questions they pose for themselves using class materials, and work their way up to answering them from memory. And when interleaving different problem types, students should be practicing answering them rather than just looking over worked examples.

But while these ideas for strategy combinations have empirical bases, it has not yet been established whether the benefits of the strategies to learning are additive, super-additive, or, in some cases, incompatible. Thus, future research needs to (a) better formalize the definition of each strategy (particularly critical for elaboration and dual coding), (b) identify best practices for implementation in the classroom, (c) delineate the boundary conditions of each strategy, and (d) strategically investigate interactions between the six strategies we outlined in this manuscript.

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YW and MAS were partially supported by a grant from The IDEA Center.

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Department of Psychology, University of Massachusetts Lowell, Lowell, MA, USA

Yana Weinstein

Department of Psychology, Boston College, Chestnut Hill, MA, USA

Christopher R. Madan

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Department of Psychology, Rhode Island College, Providence, RI, USA

Megan A. Sumeracki

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YW took the lead on writing the “Spaced practice”, “Interleaving”, and “Elaboration” sections. CRM took the lead on writing the “Concrete examples” and “Dual coding” sections. MAS took the lead on writing the “Retrieval practice” section. All authors edited each others’ sections. All authors were involved in the conception and writing of the manuscript. All authors gave approval of the final version.

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Correspondence to Yana Weinstein .

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YW and MAS run a blog, “The Learning Scientists Blog”, which is cited in the tutorial review. The blog does not make money. Free resources on the strategies described in this tutorial review are provided on the blog. Occasionally, YW and MAS are invited by schools/school districts to present research findings from cognitive psychology applied to education.

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Weinstein, Y., Madan, C.R. & Sumeracki, M.A. Teaching the science of learning. Cogn. Research 3 , 2 (2018). https://doi.org/10.1186/s41235-017-0087-y

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Student Opinion

Is Online Learning Effective?

A new report found that the heavy dependence on technology during the pandemic caused “staggering” education inequality. What was your experience?

By Natalie Proulx

During the coronavirus pandemic, many schools moved classes online. Was your school one of them? If so, what was it like to attend school online? Did you enjoy it? Did it work for you?

In “ Dependence on Tech Caused ‘Staggering’ Education Inequality, U.N. Agency Says ,” Natasha Singer writes:

In early 2020, as the coronavirus spread, schools around the world abruptly halted in-person education. To many governments and parents, moving classes online seemed the obvious stopgap solution. In the United States, school districts scrambled to secure digital devices for students. Almost overnight, videoconferencing software like Zoom became the main platform teachers used to deliver real-time instruction to students at home. Now a report from UNESCO , the United Nations’ educational and cultural organization, says that overreliance on remote learning technology during the pandemic led to “staggering” education inequality around the world. It was, according to a 655-page report that UNESCO released on Wednesday, a worldwide “ed-tech tragedy.” The report, from UNESCO’s Future of Education division, is likely to add fuel to the debate over how governments and local school districts handled pandemic restrictions, and whether it would have been better for some countries to reopen schools for in-person instruction sooner. The UNESCO researchers argued in the report that “unprecedented” dependence on technology — intended to ensure that children could continue their schooling — worsened disparities and learning loss for hundreds of millions of students around the world, including in Kenya, Brazil, Britain and the United States. The promotion of remote online learning as the primary solution for pandemic schooling also hindered public discussion of more equitable, lower-tech alternatives, such as regularly providing schoolwork packets for every student, delivering school lessons by radio or television — and reopening schools sooner for in-person classes, the researchers said. “Available evidence strongly indicates that the bright spots of the ed-tech experiences during the pandemic, while important and deserving of attention, were vastly eclipsed by failure,” the UNESCO report said. The UNESCO researchers recommended that education officials prioritize in-person instruction with teachers, not online platforms, as the primary driver of student learning. And they encouraged schools to ensure that emerging technologies like A.I. chatbots concretely benefited students before introducing them for educational use. Education and industry experts welcomed the report, saying more research on the effects of pandemic learning was needed. “The report’s conclusion — that societies must be vigilant about the ways digital tools are reshaping education — is incredibly important,” said Paul Lekas, the head of global public policy for the Software & Information Industry Association, a group whose members include Amazon, Apple and Google. “There are lots of lessons that can be learned from how digital education occurred during the pandemic and ways in which to lessen the digital divide. ” Jean-Claude Brizard, the chief executive of Digital Promise, a nonprofit education group that has received funding from Google, HP and Verizon, acknowledged that “technology is not a cure-all.” But he also said that while school systems were largely unprepared for the pandemic, online education tools helped foster “more individualized, enhanced learning experiences as schools shifted to virtual classrooms.” ​Education International, an umbrella organization for about 380 teachers’ unions and 32 million teachers worldwide, said the UNESCO report underlined the importance of in-person, face-to-face teaching. “The report tells us definitively what we already know to be true, a place called school matters,” said Haldis Holst, the group’s deputy general secretary. “Education is not transactional nor is it simply content delivery. It is relational. It is social. It is human at its core.”

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How to Learn More Effectively

10 Learning Techniques to Try

Knowing the most effective strategies for how to learn can help you maximize your efforts when trying to acquire new ideas, concepts, and skills. If you are like many people, your time is limited, so it is important to get the most educational value out of the time you have. Speed of learning is not the only important factor, however.

It is also important to be able to accurately remember the information that you learn, recall it at a later time, and use it effectively in a wide variety of situations. How can you teach yourself to learn? As you approach a new subject, incorporate some of the following tactics:

• Find ways to boost your memory
• Always keep learning new things
• Use a variety of learning techniques
• Try teaching it to someone else
• Connect new information to things you already know
• Look for opportunities to have hands-on experiences
• Remember that mistakes are part of the process
• Study a little bit every day
• Test yourself
• Focus on one thing at a time

Knowing how to learn well doesn't happen overnight, but putting a few of these learning techniques into daily practice can help you get more out of your study time .

Improve Your Memory

There are a number of different strategies that can boost memory . Basic tips such as improving your focus, avoiding cram sessions, and structuring your study time are good places to start, but there are even more lessons from psychology that can dramatically improve your learning efficiency.

If you're wondering how to learn better by improving your memory, these strategies can help:

• Getting regular physical exercise , which is linked to improvements in memory and brain health
• Spending time socializing with other people
• Getting enough sleep
• Eliminating distractions so you can focus on what you are learning
• Organizing the information you are studying to make it easier to remember
• Using elaborative rehearsal when studying; when you learn something new, spend a few moments describing it to yourself in your own words
• Using visual aids like photographs, graphs, and charts
• Reading the information you are studying out loud

For example, you might use general learning techniques like setting aside quiet time to study, rehearsing, and reading information aloud. You might combine this with strategies that can foster better memory, such as exercising and socializing.

If you're pressed for time, consider combining study strategies. Listen to a podcast while taking a walk or join a group where you can practice your new skills with others.

Keep Learning New Things

Prasit photo / Getty Images

One surefire way to become a more effective learner is to simply keep learning. Research has found that the brain is capable of producing new brain cells , a process known as neurogenesis. However, many of these cells will eventually die unless a person engages in some type of effortful learning.

By learning new things, these cells are kept alive and incorporated into brain circuits.

If you want to learn a new language, for instance, it is important to keep practicing the language to maintain the gains you have achieved. This "use-it-or-lose-it" phenomenon involves a brain process known as "pruning."

In pruning, certain pathways in the brain are maintained while others are eliminated. If you want the new information you just learned to stay put, keep practicing and rehearsing it.

Learn in Multiple Ways

Another good "how to learn" strategy is to focus on learning in more than one way. For example, instead of just listening to a podcast, which involves auditory learning, find a way to rehearse the information both verbally and visually.

This might involve describing what you learned to a friend, taking notes , or drawing a mind map. By learning in more than one way, you’re further cementing the knowledge in your mind.

For example, if you are trying to pick up a new language, try varying learning techniques such as listening to language examples, reading written language, practicing with a friend, and writing down your own notes.

One helpful tip is to try writing your notes on paper rather than typing on a laptop, tablet, or computer. Research has found that longhand notes can help cement information in memory more effectively than digital note-taking.

Varying your learning techniques and giving yourself the opportunity to learn in different ways and in different contexts can help make you a more efficient learner.

Teach What You Are Learning

Educators have long noted that one of the best ways to learn something is to teach it to someone else. Remember your seventh-grade presentation on Costa Rica? By teaching to the rest of the class, your teacher hoped you would gain even more from the assignment.

You can apply the same principle today by sharing newly learned skills and knowledge with others. Start by translating the information into your own words. This process alone helps solidify new knowledge in your brain. Next, find some way to share what you’ve learned.

Some ideas include writing a blog post, creating a podcast, or participating in a group discussion.

Build on Previous Learning

Tara Moore\ / Getty Images

Another great way to become a more effective learner is to use relational learning. This involves relating new information to things that you already know.

For example, if you are learning a new language, you might associate the new vocabulary and grammar you are learning with what you already know about your native language or other languages you may already speak.

Gain Practical Experience

LWA / Dann Tardif / Getty Images

For many students, learning typically involves reading textbooks, attending lectures, or doing research in the library or online. While seeing information and then writing it down is important, actually putting new knowledge and skills into practice can be one of the best ways to improve learning.

If it is a sport or athletic skill, perform the activity on a regular basis. If you are learning a new language, practice speaking with another person and surround yourself with language-immersion experiences. Watch foreign-language films and strike up conversations with native speakers to practice your budding skills.

If you are trying to acquire a new skill or ability, focus on gaining practical experience.

Don't Be Afraid to Make Mistakes

Research suggests that making mistakes when learning can improve learning outcomes. According to one study, trial-and-error learning where the mistakes were close to the actual answer was actually a helpful part of the learning process.

Another study found that mistakes followed by corrective feedback can be beneficial to learning. So if you make a mistake when learning something new, spend some time correcting the mistake and examining how you arrived at the incorrect answer.

This strategy can help foster critical thinking skills and make you more adaptable in learning situations that require being able to change your mind.

Research suggests that making mistakes when learning can actually help improve outcomes, especially if you correct your mistake and take the time to understand why it happened.

Use Distributed Practice

David Schaffer / Getty Images

Another strategy for how to learn better is known as distributed practice. Instead of trying to cram all of your learning into a few long study sessions, try a brief, focused session, and then take a break.

So if you were learning a new language, you might devote a period of time to an intensive session of studying. After a break, you would then come back and rehearse your previous learning while also extending it to new learning.

This process of returning for brief sessions over a long period of time is one of the best ways to learn efficiently and effectively.  

What is the best way to learn?

Research suggests that this type of distributed learning is one of the most effective learning techniques. Focus on spending a little time studying each topic every day.

While it may seem that spending more time studying is one of the best ways to maximize learning, research has demonstrated that taking tests actually helps you better remember what you've learned—even if the topic wasn't covered on the test.

This phenomenon, known as the testing effect, suggests that spending time retrieving information from memory improves the long-term memory of that information. This retrieval practice makes it more likely that you will be able to remember that information again in the future.

Stop Multitasking

For many years, it was thought that people who multitask had an edge over those who did not. However, research now suggests that multitasking can actually make learning less effective.

Multitasking can involve trying to do more than one thing at the same time. But it can also involve quickly switching back and forth between tasks or trying to rapidly perform tasks one after the other. 

According to research, doing this not only makes people less productive when they work but also impairs attention and reduces comprehension. Multitasking when you are studying makes it harder to focus on the information and reduces how much you understand it.

Research has also found that media multitasking, or dividing attention between different media sources, can also have a detrimental impact on learning and academic performance.

To avoid the pitfalls of multitasking, focus your attention on the task at hand and continue working for a predetermined amount of time.

If you want to know how to learn, it is important to explore learning techniques that have been shown to be effective. Strategies such as boosting your memory and learning in multiple ways can be helpful. Regularly learning new things, using distributed practice, and testing yourself often can also be helpful ways to become a more efficient learner.

This process can take time, and it always takes practice and determination to establish new habits . Start by focusing on just a few of these tips to see if you can get more out of your next study session.

Perhaps most importantly, work on developing the mindset that you are capable of improving your knowledge and skills. Research suggests that believing in your own capacity for growth is one of the best ways to take advantage of the learning opportunities you pursue.

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Cunnington R. Neuroplasticity: How the brain changes with learning . IBE - UNESCO.

Mueller PA, Oppenheimer DM. The pen Is mightier than the keyboard: Advantages of longhand over laptop note taking . Psychol Sci . 2014. 2014;25(6):1159-1168. doi:10.1177/0956797614524581

Cyr AA, Anderson ND. Learning from your mistakes: does it matter if you’re out in left foot, I mean field? Memory . 2018;26(9):1281-1290. doi:10.1080/09658211.2018.1464189

Metcalfe J. Learning from errors . Ann Rev Psychol . 2017;68(1):465-489. doi:10.1146/annurev-psych-010416-044022

Kang SHK. Spaced repetition promotes efficient and effective learning: Policy implications for instruction . Policy Insights Behav Brain Sci . 2016;3(1):12-19. doi:10.1177/2372732215624708

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Jeong S-H, Hwang Y.  Media multitasking effects on cognitive vs. attitudinal outcomes: A meta-analysis .  Hum Commun Res . 2016;42(4):599-618. doi:10.1111/hcre.12089

May K, Elder A. Efficient, helpful, or distracting? A literature review of media multitasking in relation to academic performance . Int J Educ Technol High Educ.  2018;15(1):13. doi:10.1186/s41239-018-0096-z

Sarrasin JB, Nenciovici L, Foisy LMB, Allaire-Duquette G, Riopel M, Masson S. Effects of teaching the concept of neuroplasticity to induce a growth mindset on motivation, achievement, and brain activity: A meta-analysis . Trends Neurosci Educ . 2018;12:22-31. doi:10.1016/j.tine.2018.07.003

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Essay Papers Writing Online

Tips and tricks for crafting engaging and effective essays.

Writing essays can be a challenging task, but with the right approach and strategies, you can create compelling and impactful pieces that captivate your audience. Whether you’re a student working on an academic paper or a professional honing your writing skills, these tips will help you craft essays that stand out.

Effective essays are not just about conveying information; they are about persuading, engaging, and inspiring readers. To achieve this, it’s essential to pay attention to various elements of the essay-writing process, from brainstorming ideas to polishing your final draft. By following these tips, you can elevate your writing and produce essays that leave a lasting impression.

Understanding the Essay Prompt

Before you start writing your essay, it is crucial to thoroughly understand the essay prompt or question provided by your instructor. The essay prompt serves as a roadmap for your essay and outlines the specific requirements or expectations.

Here are a few key things to consider when analyzing the essay prompt:

• Read the prompt carefully and identify the main topic or question being asked.
• Pay attention to any specific instructions or guidelines provided, such as word count, formatting requirements, or sources to be used.
• Identify key terms or phrases in the prompt that can help you determine the focus of your essay.

By understanding the essay prompt thoroughly, you can ensure that your essay addresses the topic effectively and meets the requirements set forth by your instructor.

Researching Your Topic Thoroughly

One of the key elements of writing an effective essay is conducting thorough research on your chosen topic. Research helps you gather the necessary information, facts, and examples to support your arguments and make your essay more convincing.

Here are some tips for researching your topic thoroughly:

By following these tips and conducting thorough research on your topic, you will be able to write a well-informed and persuasive essay that effectively communicates your ideas and arguments.

Creating a Strong Thesis Statement

A thesis statement is a crucial element of any well-crafted essay. It serves as the main point or idea that you will be discussing and supporting throughout your paper. A strong thesis statement should be clear, specific, and arguable.

To create a strong thesis statement, follow these tips:

• Be specific: Your thesis statement should clearly state the main idea of your essay. Avoid vague or general statements.
• Be concise: Keep your thesis statement concise and to the point. Avoid unnecessary details or lengthy explanations.
• Be argumentative: Your thesis statement should present an argument or perspective that can be debated or discussed in your essay.
• Be relevant: Make sure your thesis statement is relevant to the topic of your essay and reflects the main point you want to make.
• Revise as needed: Don’t be afraid to revise your thesis statement as you work on your essay. It may change as you develop your ideas.

Remember, a strong thesis statement sets the tone for your entire essay and provides a roadmap for your readers to follow. Put time and effort into crafting a clear and compelling thesis statement to ensure your essay is effective and persuasive.

Developing a Clear Essay Structure

One of the key elements of writing an effective essay is developing a clear and logical structure. A well-structured essay helps the reader follow your argument and enhances the overall readability of your work. Here are some tips to help you develop a clear essay structure:

1. Start with a strong introduction: Begin your essay with an engaging introduction that introduces the topic and clearly states your thesis or main argument.

2. Organize your ideas: Before you start writing, outline the main points you want to cover in your essay. This will help you organize your thoughts and ensure a logical flow of ideas.

3. Use topic sentences: Begin each paragraph with a topic sentence that introduces the main idea of the paragraph. This helps the reader understand the purpose of each paragraph.

4. Provide evidence and analysis: Support your arguments with evidence and analysis to back up your main points. Make sure your evidence is relevant and directly supports your thesis.

5. Transition between paragraphs: Use transitional words and phrases to create flow between paragraphs and help the reader move smoothly from one idea to the next.

6. Conclude effectively: End your essay with a strong conclusion that summarizes your main points and reinforces your thesis. Avoid introducing new ideas in the conclusion.

By following these tips, you can develop a clear essay structure that will help you effectively communicate your ideas and engage your reader from start to finish.

Using Relevant Examples and Evidence

When writing an essay, it’s crucial to support your arguments and assertions with relevant examples and evidence. This not only adds credibility to your writing but also helps your readers better understand your points. Here are some tips on how to effectively use examples and evidence in your essays:

• Choose examples that are specific and relevant to the topic you’re discussing. Avoid using generic examples that may not directly support your argument.
• Provide concrete evidence to back up your claims. This could include statistics, research findings, or quotes from reliable sources.
• Interpret the examples and evidence you provide, explaining how they support your thesis or main argument. Don’t assume that the connection is obvious to your readers.
• Use a variety of examples to make your points more persuasive. Mixing personal anecdotes with scholarly evidence can make your essay more engaging and convincing.
• Cite your sources properly to give credit to the original authors and avoid plagiarism. Follow the citation style required by your instructor or the publication you’re submitting to.

By integrating relevant examples and evidence into your essays, you can craft a more convincing and well-rounded piece of writing that resonates with your audience.

Editing and Proofreading Your Essay Carefully

Once you have finished writing your essay, the next crucial step is to edit and proofread it carefully. Editing and proofreading are essential parts of the writing process that help ensure your essay is polished and error-free. Here are some tips to help you effectively edit and proofread your essay:

1. Take a Break: Before you start editing, take a short break from your essay. This will help you approach the editing process with a fresh perspective.

2. Read Aloud: Reading your essay aloud can help you catch any awkward phrasing or grammatical errors that you may have missed while writing. It also helps you check the flow of your essay.

3. Check for Consistency: Make sure that your essay has a consistent style, tone, and voice throughout. Check for inconsistencies in formatting, punctuation, and language usage.

4. Remove Unnecessary Words: Look for any unnecessary words or phrases in your essay and remove them to make your writing more concise and clear.

5. Proofread for Errors: Carefully proofread your essay for spelling, grammar, and punctuation errors. Pay attention to commonly misused words and homophones.

6. Get Feedback: It’s always a good idea to get feedback from someone else. Ask a friend, classmate, or teacher to review your essay and provide constructive feedback.

By following these tips and taking the time to edit and proofread your essay carefully, you can improve the overall quality of your writing and make sure your ideas are effectively communicated to your readers.

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Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications.

1. Introduction

2. remote sensing technology and the machine learning method, 2.1. remote sensing data in precision agriculture, 2.2. overview of the use of ml algorithms in precision agriculture, 3. integrated application of remote sensing technology and the machine learning method, 3.1. agricultural monitoring and identification, 3.2. stress detection of diseases and insect pests, 3.3. management and analysis of soil and land, 3.4. prediction and decision making regarding crop yield, 4. discussion, 4.1. current challenges, 4.1.1. acquisition and processing of multi-source rs data, 4.1.2. interpretability and generalization of the model, 4.2. prospects for the future, 4.2.1. trend of intelligence and automation, 4.2.2. data sharing and multidisciplinary interaction, 5. conclusions, author contributions, data availability statement, conflicts of interest.

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Share and Cite

Wang, J.; Wang, Y.; Li, G.; Qi, Z. Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications. Agronomy 2024 , 14 , 1975. https://doi.org/10.3390/agronomy14091975

Wang J, Wang Y, Li G, Qi Z. Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications. Agronomy . 2024; 14(9):1975. https://doi.org/10.3390/agronomy14091975

Wang, Jun, Yanlong Wang, Guang Li, and Zhengyuan Qi. 2024. "Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications" Agronomy 14, no. 9: 1975. https://doi.org/10.3390/agronomy14091975

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