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COGNITIVE LOAD AND
TEACHING “HEURISTIC
DOMAIN” SUBJECTS
What is Learning?
 Selection of important
 Integration
 Organization
Some Vocabulary
 Near and far transfer
 Schema
 Cognitve load
 Heuristic domain
Cognitive Load
 Essential/Intrinsic
 Extraneous
 Germane/Generative
Example to Problem Solving
 Beginners: Low domain level knowledge
 Result
 High intrinsic load
 Less working memory fo...
Renkl &Atkinson (2003)
 First: Worked out steps
 Self=explanation
 Second: Fading
 Ask students what rules apply
 Thi...
Renkl &Atkinson (2003)
 Learning objectives must be precisely defined
 Reducing extraneous CL not enough
 Germane load ...
How to Implement?
 10 – 20 Terminology
 20 – 25 –30 Worked out examples
 35 – 40 – 45 Faded examples
 50 – Easiest pro...
Worked Out Examples
24 x 22 = (2 x 2 x 2 x 2) x (2 x 2) = 64 = 26
Faded Examples
24 x 22 = (2 x 2 x 2 x 2) x (2 x 2) = 64 =
Problem Solving
24 x 22 =
Cognitive Load and Worked Out Examples of Math Instruction Online
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Cognitive Load and Worked Out Examples of Math Instruction Online

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Cognitive load research offers some interesting ideas for presenting math education online.

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Cognitive Load and Worked Out Examples of Math Instruction Online

  1. 1. COGNITIVE LOAD AND TEACHING “HEURISTIC DOMAIN” SUBJECTS
  2. 2. What is Learning?  Selection of important  Integration  Organization
  3. 3. Some Vocabulary  Near and far transfer  Schema  Cognitve load  Heuristic domain
  4. 4. Cognitive Load  Essential/Intrinsic  Extraneous  Germane/Generative
  5. 5. Example to Problem Solving  Beginners: Low domain level knowledge  Result  High intrinsic load  Less working memory for germane load  Unable to use domain-specific solution procedures
  6. 6. Renkl &Atkinson (2003)  First: Worked out steps  Self=explanation  Second: Fading  Ask students what rules apply  Third: Solve problems
  7. 7. Renkl &Atkinson (2003)  Learning objectives must be precisely defined  Reducing extraneous CL not enough  Germane load must be fostered
  8. 8. How to Implement?  10 – 20 Terminology  20 – 25 –30 Worked out examples  35 – 40 – 45 Faded examples  50 – Easiest problem to solve  60 – 90 problems to solve
  9. 9. Worked Out Examples 24 x 22 = (2 x 2 x 2 x 2) x (2 x 2) = 64 = 26
  10. 10. Faded Examples 24 x 22 = (2 x 2 x 2 x 2) x (2 x 2) = 64 =
  11. 11. Problem Solving 24 x 22 =

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