An illustration of many students and the contents of one’s head.
What factors shape learning?
Chapter 5

Learning

by Amy J. Ko

The expectations in the previous section are minimum expectations. They are so low, in fact, that any teacher at UW that only met them would not only not be hired, but definitely would not be promoted. We expect instructors to aim higher, and this begins with understanding how learning works.

There are many basic ideas from the science of learning that most people do not know. Below I’ll share some of this big ideas. While you read them, remember that many of your beliefs about learning are not necessarily informed by science, and be open to changing your beliefs.

We’ll begin with  prior knowledge   7 7

Tobias, S. (1994). Interest, prior knowledge, and learning. Review of Educational Research.

. Every learner you’ll meet at UW knows all kinds of things. Learning involves building upon that prior knowledge, connecting new ideas to the ideas that learners already have. Effective learning actually requires explicit links to prior knowledge to be effective. For example, imagine a group of students who took a high school Advanced Placement Computer Science class and learned a bit of the Java programming language. Some students might have mastered Java and object-oriented programming, while others might have struggled the whole year. All of them might have passed and earned an adequate score on the AP exam to skip pre-requisite programming courses at UW. This varying prior knowledge is going to mean that they enter your class with different capacities to learn what you’re planning on teaching. One will need to  learn  a lot more than the other to reach the same objective.

To build efficiently on prior knowledge, learners need deliberate practice  3 3

Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review.

. The need for practice stems from the idea that most human knowledge and abilities are acquired and improved through repeated exercising of a skill, targeted feedback on what aspects of that skill a learner has mastered and needs to improve, and sufficient motivation to persist with practice. For example, if you’re teaching the concept of privacy, it’s not enough to just explain the idea, you need students to practice explaining the idea themselves, you need to give targeted feedback on their explanations of privacy, and you need to keep them motivated to improve on their explanations. Or, if you’re teaching a student a new programming language, it’s not enough to explain the concept of the language’s function calls, you need to give examples, have students practice reading and explaining how the examples execute, and give targeted feedback on their understanding. An important implication of the need for deliberate practice is that most people can learn most things with sufficient practice, but not just any kind of practice will suffice. This body of evidence is pretty damning for most school, including higher education, which rarely provides targeted feedback, and often does not even make time for repetition of a skill. A teacher’s job is to structure an environment to promote deliberate practice for the learning objectives of a class, but students are often left to structure their own practice.

Closely related to practice is  intelligence mindset   2 2

Carol S. Dweck (2018). Mindset: The new psychology of success. Random House Books.

. Mindset is the notion that much of students’ motivation to learn derives from their beliefs about learning. Some people have a more  fixed  mindset, believing that their abilities are innate; learners with fixed mindsets tend to avoid learning new skills, and when forced, resist improving the quality of their practices. Some people have a  growth  mindset, believing that abilities can be learned (through practice), and they are more open to structuring their environment to optimize learning.  Teachers can change mindset, often in lightweight ways, such as regularly reminding students that skills are learned and not fixed. One common mistake that teachers make is instead reinforcing fixed mindset when they say things like “Some people just don’t get it” or “Maybe this isn’t for you.” These attitudes not only reinforce students’ fixed mindsets, but they also inadvertently absolve a teacher from having to teach.

Another factor that shapes motivation is  interest   5 5

Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist.

. Just like mindset, interests are not innate either; they are often triggered by experiences (often provided by teachers), and then developed over time, eventually becoming more internally-driven than external. Learners are often far more motivated to learn about their interests. A teacher’s job is to  trigger  interest in a subject in those without it, and  deepen  interest in those that do. Just as with mindset, if teachers preach an innate notion of interest, students won’t develop interest in a subject.

A third factor that shapes motivation is  identity   8 8

Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge University Press.

. If a learner doesn’t  see  themselves as a person who programs computers, reasons about ethics, or analyzes data, they may be demotivated to develop interest and ability in these skills. If they don’t see the values that shape their identity expressed in a subject, they may not be motivated to learn it. A teacher’s job is to understand learners’ identities and find ways of connecting a subject to their identities; often times, students are left to make these connections themselves.

Even if a student is motivated to learn, has a growth mindset, has an interest, and has an identity that aligns with a subject, structuring practice is still hard. One of the critical skills required to structure practice is  self-regulation   9 9

Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist.

, which is a constellation of skills related to monitoring one’s actions, controlling impulse, reflecting on outcomes, and thinking about one’s thinking. All of these skills are critical for being able to judge whether one’s practice is effective, whether one needs more feedback, and whether to keep practicing. Self-regulation skills are often rare, and highly correlate with effective learning. Teachers often play the role of scaffolding self-regulation skills, by giving structure, guidelines, reminders, and other proactive interventions.

Even if learning is successful, it turns out that people rarely  transfer  their knowledge from one domain to another  4 4

Haskell, R. E. (2000). Transfer of learning: Cognition and instruction. Elsevier.

. Human knowledge appears to be mostly context-sensitive; if you want students to take an idea and use it in other contexts, you need to explicitly teach them how to apply that idea in that context. There is some evidence that some people transfer knowledge independently, but it’s rare and we don’t know how to ensure that everyone does. Academics seem to do this more than others, which is an unfortunate expert blind spot that leads many to assume that their students will too.

Whereas all of the ideas above are supported by many decades of research on learning, there are many common myths about learning:

  • Lecturing is generally less effective than active learning methods. Active learning methods engage students in practicing skills, recalling knowledge, and synthesizing ideas, rather than just listening. Counterintuitively, learners may  perceive  active learning as less effective than great lectures, because they can lead to a sense of struggle and confusion, but this is because learners wrongly perceive the struggle to learn as  not  learning 1 1

    Louis Deslauriers, Logan S. McCarty, Kelly Miller, Kristina Callaghan, Greg Kestin (2019). Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom. Proceedings of the National Academy of Sciences.

    .
  • Students do not have different “learning styles” 6 6

    Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning styles: Concepts and evidence. Psychological science in the public interest.

     (e.g., “visual” learners, “auditory” learners). Learners  do  have preferences for media, which often come from diversity in learners attentional skills, physical abilities, language fluency, etc. But learners aren’t categorically “visual” or “auditory” learners, and serving students’ preferences does not improve in learning. That said, not meeting students’  needs  (e.g., accessible materials in a language they can read) clearly affects learning. Moreover, not all methods for teaching a particular concept are equally effective for all learners, but that’s because of varying prior knowledge, not differences in ways people process information from different media. Attention should be on those inequities and less on negligible factors like whether something should be text, video, or sound (for content to be accessible, it should all of these).
  • There’s no such thing as “left brained” or “right brained” students. Most people have both hemispheres and we all use both of them fully. What people are usually thinking of when they say this is that  personalities  vary. They do, and teaching to varying personalities does require careful planning.
  • There is no magic number of hours of practice (e.g., 10,000) that result in expertise. It’s the  quality  of practice that determines the pace of learning, and it’s a teacher’s job to help shape, structure, and motivate that practice.
  • Praising intelligence does not help; it reinforces a fixed mindset, falsely signaling to students that they’re abilities come from an intrinsic trait rather than their effort. Praising  effort  and  persistence  does help, because it promotes a growth mindset.
  • Students do not “discover” their passions. They develop interests, with the help of teachers, who can share new possible interests and give them positive experiences with those potential interests that eventually lead students to internalize them.

All of these ideas show that learning is purposeful, highly sensitive to a learners’ self, self-knowledge, and environment, and greatly shaped by the social context of learning, especially teachers.

References

  1. Louis Deslauriers, Logan S. McCarty, Kelly Miller, Kristina Callaghan, Greg Kestin (2019). Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom. Proceedings of the National Academy of Sciences.

  2. Carol S. Dweck (2018). Mindset: The new psychology of success. Random House Books.

  3. Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review.

  4. Haskell, R. E. (2000). Transfer of learning: Cognition and instruction. Elsevier.

  5. Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist.

  6. Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning styles: Concepts and evidence. Psychological science in the public interest.

  7. Tobias, S. (1994). Interest, prior knowledge, and learning. Review of Educational Research.

  8. Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge University Press.

  9. Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist.