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2 references
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- Vol 1 RE: Chapters 4, 10, 12, App A, App B
- Vol 2 RE: Chapters 1, 3, 4, 6, 7, 8, App A, App C, App D
- Vol 2 TE: App B
- Vol 4 RE: Chapters 1, 2, 3, 4, 16, 25, App A, App B, App C
- Vol 4 TE: App C
- Vol 5 RE: App B
cognitive architectureworking-memory limitationsintrinsic cognitive loadextraneous cognitive loadworked examplesexpertise reversalguidance fadingBook Evidence summaryAt a glance
Sweller, Ayres, and Kalyuga derive instructional design principles from a cognitive architecture in which biologically secondary knowledge is stored in effectively vast long-term memory but novel information must pass through sharply limited working memory. Cognitive load depends on interacting elements and the learner’s existing schemas.
Key ideas
Intrinsic load reflects task complexity relative to knowledge; extraneous load results from avoidable instructional demands. Learning changes what counts as a single element by building schemas and automating performance. The book reviews effects including worked examples, goal-free problems, completion tasks, split attention, modality, redundancy, imagination, self-explanation, guidance fading, and expertise reversal. A design that helps a novice can become redundant for an expert, so guidance should adapt as knowledge grows.
Why it matters
The theory does not argue for making all learning easy; it argues for directing scarce working-memory resources toward processes that build transferable knowledge rather than toward unnecessary search or poorly coordinated information.
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- Vol 7 PE: App D
- Vol 7 RE: Chapter 4
cognitive architectureintrinsic cognitive loadextraneous cognitive loadgermane loadsplit-attention effectworked examplesschema automationJournal article Evidence summaryAt a glance
Sweller, van Merriënboer, and Paas connect instructional design to a cognitive architecture with severely limited working memory for novel information and effectively unlimited long-term memory organised in schemas. Learning changes what working memory can handle by constructing and automating schemas.
Key ideas
The authors distinguish intrinsic cognitive load arising from interacting elements inherent to the material, extraneous load imposed by avoidable presentation or activity, and germane load devoted to processes that contribute to learning. They review instructional effects including worked examples, completion problems, goal-free problems, split attention, redundancy, modality, and variability. Designs help when they reduce unnecessary search and integration while directing capacity toward relevant structure. Effects depend on expertise: information essential for novices can become redundant for knowledgeable learners.
Why it matters
For educators, the framework supports integrating mutually dependent sources, removing decorative or repeated explanations that add processing without value, modelling complex procedures, sequencing element interactivity, and fading guidance with growing competence. Cognitive load is not simply content quantity or subjective difficulty; design decisions should be evaluated through both learner effort and durable performance.
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Edition abbreviations
- TE
- Teacher Edition
- PE
- Practice Edition
- RE
- Research Edition
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