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2 references
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.
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.
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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Twenty years after their earlier review, Sweller, van Merriënboer, and Paas update cognitive load theory’s account of human cognitive architecture and instructional design. Novel information is processed in a limited working memory, whereas organised knowledge in long-term memory can guide activity with little apparent load.
The article revisits intrinsic and extraneous load, argues that “germane load” is better treated as working-memory resources devoted to intrinsic processing rather than a separate additive category, and incorporates evolutionary educational psychology’s distinction between biologically primary and culturally acquired secondary knowledge. It reviews established and newer effects involving worked examples, guidance fading, element interactivity, expertise reversal, transient information, self-management, collaboration, and collective working memory. Instructional effects are conditional: the same guidance may assist novices and hinder experts. The authors defend the theory’s testable, experimentally grounded development while identifying unresolved measurement and boundary questions.
For educators, the central design task remains aligning guidance with prior knowledge, limiting avoidable search and split attention, sequencing complex interacting elements, and progressively shifting responsibility as learners acquire schemas.
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