An Evolutionary Upgrade of Cognitive Load Theory: Using the Human Motor System and Collaboration to Support the Learning of Complex Cognitive Tasks

By Fred Paas, John Sweller. 2012

489 citations recorded by the source corpus.

Cognitive load theory is intended to provide instructional strategies derived from experimental, cognitive load effects. Each effect is based on our knowledge of human cognitive architecture, primarily the limited capacity and duration of a human working memory. These limitations are ameliorated by changes in long-term memory associated with learning. Initially, cognitive load theory's view of human cognitive architecture was assumed to apply to all categories of information. Based on Geary’s (Educational Psychologist 43, 179–195 2008; 2011) evolutionary account of educational psychology, this interpretation of human cognitive architecture requires amendment. Working memory limitations may be critical only when acquiring novel information based on culturally important knowledge that we have not specifically evolved to acquire. Cultural knowledge is known as biologically secondary information. Working memory limitations may have reduced significance when acquiring novel information that the human brain specifically has evolved to process, known as biologically primary information. If biologically primary information is less affected by working memory limitations than biologically secondary information, it may be advantageous to use primary information to assist in the acquisition of secondary information. In this article, we suggest that several cognitive load effects rely on biologically primary knowledge being used to facilitate the acquisition of biologically secondary knowledge. We indicate how incorporating an evolutionary view of human cognitive architecture can provide cognitive load researchers with novel perspectives of their findings and discuss some of the practical implications of this view.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/8da6689e23d4bfe59776bd8aa09a89f8a598b0d8

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Fred Paas
  2. Richard E. Mayer
  3. John Sweller
  4. J. V. van Merriënboer
  5. Paul Ayres
  6. Logan Fiorella
  7. Paul Ginns
  8. Slava Kalyuga

In Developmental and Educational Psychology

  1. Fred Paas
  2. John Sweller
  3. J. V. van Merriënboer
  4. Richard E. Mayer
  5. Paul Ayres
  6. Tamara van Gog
  7. Paul A. Kirschner
  8. Femke C. Kirschner

In Experimental and Cognitive Psychology

  1. Fred Paas
  2. John Sweller
  3. J. V. van Merriënboer
  4. Richard E. Mayer
  5. Tamara van Gog
  6. Paul Ayres
  7. Paul A. Kirschner
  8. Slava Kalyuga

Citations in the corpus