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A Primer on How People Learn: Implications for Teaching & - - PowerPoint PPT Presentation

A Primer on How People Learn: Implications for Teaching & Education Policy THE NATIONAL ACADEMIES National Academy of Sciences National Academy of Engineering Institute of Medicine National Research Counc il James Stith American Institute of


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A Primer on How People Learn: Implications for Teaching & Education Policy

THE NATIONAL ACADEMIES National Academy of Sciences National Academy of Engineering Institute of Medicine National Research Council

James Stith

American Institute of Physics

Jay Labov

National Academy of Sciences National Research Council MENA II Education Institute on Responsible Science Trieste, Italy, May 8, 2014

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LEARNING OBJECTIVES FOR THIS SESSION:

  • 1. Build BOTH a deep

foundation of factual knowledge AND strong conceptual framework.

  • 2. Address learners’ misconceptions
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Adopted from How People Learn, & Chase & Simon 1973

The value of conceptual frameworks vs. knowledge alone: The chessboard challenge

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Can you correctly place the 25 chess pieces?

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5 10 15 20 25 1 2 3 4 5 6 7

# pieces correctly recalled

Trial number Master Class A Beginner

Chess masters – Class A players – Beginners

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Board #2 Board #1

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Will the results for the second board be the same as for the first board?

A Yes B No C Not enough information

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Board #2

5 10 15 20 25 1 2 3 4 5 6 7 # pieces correctly recalled trials Master Class A Beginner

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The Nature of Expertise:

Knowledge Acquisition & Organization

Research with experts & novices reveals marked differences in the way they store, and apply knowledge:

  • Experts have a rich knowledge base

that is hierarchically organized.

  • Experts notice and remember large

amounts of complex information in their domain of expertise after short exposures to a new situation.

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ON http://www

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Build BOTH Factual knowledge Conceptual framework

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The more that one knows about a topic, the easier it is to learn more about that topic. Transfer can be facilitated by knowing the multiple contexts under which an idea applies (rote learning rarely transfers.) However, expertise in one area does not necessarily transfer to other areas. Implication: “wisdom” can’t be taught directly and instruction must be directed towards the gradual acquisition of understanding & expertise.

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EXAMPLE:

A general wishes to capture a fortress in the center of a country. There are many roads radiating outward from the fortress. All roads have been mined so that while small groups of soldiers can pass over the roads safely, a large force will detonate the mines. A full-scale direct attack is therefore impossible. The general’s solution is to divide the army into small groups, send each to the head of a different road, and have the groups converge simultaneously on the fortress.

(Modified from How People Learn)

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You are a doctor faced with a patient who has a malignant tumor in the stomach. It is impossible to

  • perate on the patient, but unless the tumor is

destroyed, the patient will die. There is a kind of ray that may be used to destroy the tumor. If the rays reach the tumor all at once and with sufficient high intensity, the tumor will be destroyed, but surrounding tissue may be damaged as well. At lower intensities, the rays are harmless to healthy tissue, but they will not affect the tumor either. What type of procedure might be used to destroy the tumor with the rays, and at the same time avoid destroying the healthy tissue?

Few college students could solve the second problem on their own. When told to use information from first, >90% were able to solve it.

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Being an expert in a topic does not imply that one will also be effective in teaching that topic. Expertise in teaching that topic is also needed (pedagogical content knowledge) Teaching the content of a discipline without helping learners to organize that content is not optimal. Procedures and equations used to solve problems in science & math are important but also important are the underlying principles and concepts of those equations and how and where they can be applied.

Implications for Teaching

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New learning depends on previous learning and previous learning often interferes with what an instructor may be trying to teach (pre‐ or misconceptions).

Transfer of Learning and Previous Learning: Conceptions/Misconceptions/Preconceptions

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Lionni’s Fish is Fish

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The Fish’s Image of Birds

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The Fish’s Image of Cows

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The Fish’s Image of People

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And Now Here’s Jim!

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Young children who believe the earth is flat…. Physics students who assume “force of the hand” when a ball is thrown into the air Biology students who believe that evolution occurred in the past but is not occurring now People’s beliefs about seasons ‐‐ distance from sun not tilt Deep time

Analogs to the Fish is Fish Story:

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track B track A

A: Ball on Track A Wins B: Ball on Track B Wins C: Both balls reach the end at the same time.

Now It’s Your Turn!!

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A: Ball on Track A Wins B: Ball on Track B Wins C: Both balls reach the end at the same time.

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10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7

  • Avg. Retention Rate

Science of Learning

  • Audio‐visual
  • Demonstration
  • Discussion
  • Lecture
  • Practice
  • Reading
  • Active Teaching

Science of Learning

Source: Tokuhama‐Espinosa, T. 2009. The New Science of Teaching and Learning: Using the Best of Mind, Brain, and Education Science in the Classroom. Teachers College Press

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  • Audio‐visual
  • Demonstration
  • Discussion
  • Lecture
  • Practice
  • Reading
  • Active Teaching

10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7

  • Avg. Retention Rate

lecture reading Active teaching practice discussion demonstration audio‐visual

Science of Learning

Source: Tokuhama‐Espinosa, T. 2009. The New Science of Teaching and Learning: Using the Best of Mind, Brain, and Education Science in the Classroom. Teachers College Press

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Do the math

  • 10 wk quarter –

3 classes week= 30 hr (1800 min)

  • 5% of 1800 min

= 90 minutes‐‐‐ 1.5 hrs

  • 50% of 1800 min

= 900 minutes‐‐ 15 hrs

Provided by Mary Pat Wenderoth,

  • U. Washington

10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7

  • Avg. Retention Rate

Science of Learning

lecture reading teaching practice discussion demonstration audio‐visual

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Take home message

Learning increases when the learning is active. The person doing the talking is often doing the learning.

Brainstorm: In what ways have we made this an active learning session?

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How do you know when you know something? How do you know when your mentees know or don’t know something? How do your mentees know if they know something? When you know that you’ve failed at something, how do you find new pathways? How can you help your students do this?

Final Brainstorming