How People Learn
This teaching guide highlights the pedagogical theory presented in the book:
How People Learn: Brain, Mind, Experience and School
John D. Bransford, Ann L. Brown and Rodney R. Cocking, editors
National Academies Press; 1st edition (September 15, 2000)
- The Nature of Expertise
- Challenges in Developing Expertise
- Implications for Teaching
- Creating Effective Learning Communities
Commissioned by the National Research Council, How People Learn presents the conclusions of recent research in cognitive science, and then develops their implications for teaching and learning. The following highlights of this research may be helpful as you reflect on your own teaching practice, and how it may better enhance your students’ learning. Many Vanderbilt faculty members have found the HPL framework useful.
Expertise is on a continuum that runs from novice to expert, and one is more or less fluent in one’s expertise.
Expertise is field-dependent. Expertise in one field doesn’t translate directly to expertise in another field.
Characteristics of expertise:
- Expert learners have well-organized knowledge, not just problem-solving strategies.
- Expert knowledge is organized to support understanding, not just recall. And the organization is grounded in a field’s foundational concepts.
- Expert knowledge is conditionalized, and the conditional relationships form patterns that experts recognize and rely upon.
- An expert’s fluency allows the easy retrieval of relevant knowledge. The patterns mentioned in the previous point are second nature to the expert, while the novice struggles to recognize them. This fluency with fundamental patterns frees the mental energy to focus on new knowledge to add to the pattern.
- There is a difference between adaptive experts, whose metacognitive skills allow the transfer of knowledge from one setting to another, and routine experts, whose expertise allows them to function well in standard settings but doesn’t serve them well when conditions are different.
Being aware of these challenges can help the expert in a field to work more productively with novices in the field to develop their expertise:
- The development and retention of new knowledge depends in large part on the relationship between what one is learning and what one already knows. Because novices in a field typically don’t know much of the content in that field, they have little to which they can relate the things they’re attempting to learn. So they retain less.
- Since novices typically don’t grasp the fundamental principles in a field, they don’t see the patterns grounded in those principles. They tend therefore to adopt anidiosyncratic organizational scheme for what they are learning. This organizational scheme might function well enough in a particular context (e.g., in the particular unit they’re covering in a part of a class) but it doesn’t serve them well in other areas of the field. It doesn’t transfer well.
- The expert’s fluency can conceal the very principles and strategies that the novice must learn in order to become more expert. These principles and strategies are often invisible even to the expert precisely because they are second nature. And they’re invisible to the novice observing the expert because they’re implicit in the expert’s work.
Make thinking visible.
- Student thinking: Have students engage in activities that make visible the processes of their thinking, rather than merely the conclusions of their thinking.
- Expert thinking: Model expert thinking, being careful to make explicit the strategies and techniques that are implicit in expert thinking.
Be aware of knowledge level of students. The knowledge (and misunderstandings) they bring with them into the class will shape what they learn in the class.
Use contrasting cases as examples. Contrasting cases–two examples whose differences highlight a particular point or set of points–can illustrate the particular points you are highlighting as an instructor. Note that experts are more likely than novices to see the relevant contrast between two complex cases that are similar in many respects. So it’s best to start with relatively simple cases and then move to complexity as understanding deepens.
According to the cognitive research covered in How People Learn , environments that best promote learning have four interdependent aspects—they focus on learners, well-organized knowledge, ongoing assessment for understanding, and community support and challenge.
1. Learner-centered: Learner-centered environments pay careful attention to the knowledge, skills, attitudes, and beliefs that learners bring to the educational setting. Teachers must realize that new knowledge is built on existing knowledge—students are not blank slates. Therefore, teachers need to uncover the incomplete understandings, false beliefs and naïve renditions of concepts that students have when they begin a course. If these are ignored, students may develop understandings very different from what the teacher intends them to gain.
2. Knowledge-centered: Knowledge-centered environments take seriously the need to help students learn the well-organized bodies of knowledge that support understanding and adaptive expertise. Teachers are wise to point their students directly toward clear learning goals—to tell students exactly what knowledge they will be gaining, and how they can use that knowledge. In addition, a strong foundational structure of basic concepts will give students a solid base on which to build further learning.
3. Assessment-centered: Assessment-centered environments provide frequent formal and informal opportunities for feedback focused on understanding, not memorization, to encourage and reward meaningful learning. Feedback is fundamental to learning, but feedback opportunities are often too scarce in classrooms. Students may receive grades on tests and essays, but these are summative assessments that occur at the end of projects. What are needed are formative assessments that provide students with opportunities to revise and improve the quality of their thinking and understanding. The goal is for students to gain meta-cognitive abilities to self-assess, reflect and rethink for better understanding.
4. Community-centered: Community-centered environments foster norms for people learning from one another, and continually attempting to improve. In such a community, students are encouraged to be active, constructive participants. Further, they are encouraged to make—and then learn from—mistakes. Intellectual camaraderie fosters support, challenge and collaboration.
The most effective learning environments contain all four of these interdependent foci.
How People Learn: Bridging Research and Practice
This link takes you to another book on this theory, again co-edited by John Bransford.
Center for Teaching consultants are available to meet with faculty interested in exploring the particular application of conclusions from learning science research in their own teaching.