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Learning about Learning

     Joseph Jay Williams
Joseph_williams@berkeley.edu
  Overview of research (link)
Goal
• In the opinion of X, what’s the best way to
  learn or teach a topic?
  – (X is you, a student, a
    teacher, instructional/curriculum designer, a
    businessperson)


• How would X’s answer change based on being
  exposed to research from cognitive science &
  education?
Overview
• Framework: Encourage Transfer Appropriate
  Processing

• Retrieval Practice & Testing Effects
• Problem-based learning & case-based reasoning
• Analogy & Comparison
• Explanation
• Research on “behavior change” may be relevant (BJ
  Fogg’s Behavior Change Model, CBT, habit formation)
• Using technology to expand what learners “know”
Some analogies for how people might
       think learning works
• Bucket model of the • Integrating a webpage
  mind                  into the internet
• Instructionism      • Need to think actively
                        about your learning
What are the goals for student
                learning?
• Transfer Appropriate Processing
• What knowledge do you want students to acquire?
   – Memory, Understanding, Ability to make predictions &
     solve problems?
   – Facts, Procedures, Concepts, Relations between
     Concepts, Explanations, Causal Relationships?
• In what situations will students use the knowledge?
• How will the knowledge be integrated with knowledge
  the students already have?
• How will adding this knowledge cause students to have
  different future thoughts, actions, and behaviors?
(Retrieval) practice makes perfect
• Use what you want them to learn in the
  contexts you want them to use it in (Karpicke
  & Blunt, 2011)
• Retrieve it and apply it to the context you
  wanted to: reason about situations & make
  attributions as well as ponder, recall and apply
  rather than reread, explain to another person
  as well as think about it
Where will they use knowledge?
• Problem Based Learning (Hmelo-Silver, 2006)
• Case based reasoning (Kolodner, 1997
How does it relate to what they
           already know?
• What is it that they already “know”?
• What would be concrete, powerful analogies?
  (Gentner, 2010)
• Comparison of old & new ideas (Gentner et
  al, 2003)
How will the new knowledge change
      learners’ thoughts & behavior?
• Not just giving, but soliciting explanations (Chi, 2000;
  Siegler, 2005; Wellman & Liu, 2006; Chouinard, 2008)
• Kinds of explanations? E.g. Asking questions vs.
  Understanding vs. Explaining why

•   Explain to a friend
•   Explain why a fact
•   Explain why a learning strategy is helpful/unhelpful
•   Explain how what was learned applies to specific cases
•   Explain how what was learned could be used in future
    situations
Synergy between learning and
             behavior change
• Need to link responses and knowledge to specific
  and distinct cues & situations
• In addition to having knowledge, the habit of
  using that knowledge at the right moment
• Environmental support
• Technological support:
  –   Daily logging
  –   Text messaging
  –   Interactive programs
  –   Games
Use technology to expand what learners’
“know”: what they can readily access & apply
• “Knowing” by being skilled at finding information
  – Google, Wikipedia, WikiHow, Lifehacker, Google
    Scholar
• “Knowing” by being aware of who to ask
• “Remembering” by storing, organizing, and
  regularly accessing a personal knowledge base or
  “electronic brain”
  – (Google Docs, Evernote, Mendeley)
• “Remembering” steps for learning/problem-
  solving by creating & regularly using
  apps, checklists and step-by-step guides

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Cognitive science research to promote online education

  • 1. Learning about Learning Joseph Jay Williams Joseph_williams@berkeley.edu Overview of research (link)
  • 2. Goal • In the opinion of X, what’s the best way to learn or teach a topic? – (X is you, a student, a teacher, instructional/curriculum designer, a businessperson) • How would X’s answer change based on being exposed to research from cognitive science & education?
  • 3. Overview • Framework: Encourage Transfer Appropriate Processing • Retrieval Practice & Testing Effects • Problem-based learning & case-based reasoning • Analogy & Comparison • Explanation • Research on “behavior change” may be relevant (BJ Fogg’s Behavior Change Model, CBT, habit formation) • Using technology to expand what learners “know”
  • 4. Some analogies for how people might think learning works • Bucket model of the • Integrating a webpage mind into the internet • Instructionism • Need to think actively about your learning
  • 5. What are the goals for student learning? • Transfer Appropriate Processing • What knowledge do you want students to acquire? – Memory, Understanding, Ability to make predictions & solve problems? – Facts, Procedures, Concepts, Relations between Concepts, Explanations, Causal Relationships? • In what situations will students use the knowledge? • How will the knowledge be integrated with knowledge the students already have? • How will adding this knowledge cause students to have different future thoughts, actions, and behaviors?
  • 6. (Retrieval) practice makes perfect • Use what you want them to learn in the contexts you want them to use it in (Karpicke & Blunt, 2011) • Retrieve it and apply it to the context you wanted to: reason about situations & make attributions as well as ponder, recall and apply rather than reread, explain to another person as well as think about it
  • 7. Where will they use knowledge? • Problem Based Learning (Hmelo-Silver, 2006) • Case based reasoning (Kolodner, 1997
  • 8. How does it relate to what they already know? • What is it that they already “know”? • What would be concrete, powerful analogies? (Gentner, 2010) • Comparison of old & new ideas (Gentner et al, 2003)
  • 9. How will the new knowledge change learners’ thoughts & behavior? • Not just giving, but soliciting explanations (Chi, 2000; Siegler, 2005; Wellman & Liu, 2006; Chouinard, 2008) • Kinds of explanations? E.g. Asking questions vs. Understanding vs. Explaining why • Explain to a friend • Explain why a fact • Explain why a learning strategy is helpful/unhelpful • Explain how what was learned applies to specific cases • Explain how what was learned could be used in future situations
  • 10. Synergy between learning and behavior change • Need to link responses and knowledge to specific and distinct cues & situations • In addition to having knowledge, the habit of using that knowledge at the right moment • Environmental support • Technological support: – Daily logging – Text messaging – Interactive programs – Games
  • 11. Use technology to expand what learners’ “know”: what they can readily access & apply • “Knowing” by being skilled at finding information – Google, Wikipedia, WikiHow, Lifehacker, Google Scholar • “Knowing” by being aware of who to ask • “Remembering” by storing, organizing, and regularly accessing a personal knowledge base or “electronic brain” – (Google Docs, Evernote, Mendeley) • “Remembering” steps for learning/problem- solving by creating & regularly using apps, checklists and step-by-step guides

Notes de l'éditeur

  1. Vast number of potentially relevant contexts a mindset can be applied, may rely on different domains of knowledge: it’s less like learning math or biology and more like changing “problem-solving ability”, learning CBT, interpersonal skills, nutrition habits