Theory of complex learning: three types of learning required for science knowledge acquisition¶

Design · All designs
Evidence · no claims cited

Description¶

The article describes a theory of complex learning in which "knowledge acquisition in the sciences requires three types of learning: concept learning, causal explanation-based learning, and argument learning." Concept learning requires explicitness and compare/contrast procedures for novices. Causal explanation-based learning provides transferable knowledge of mechanisms, and failing to provide causal explanations results in superficial understanding. Argument learning emphasizes correcting learners' misconceptions by providing evidence in favor of correct concepts. The article used this theory to design a causally coherent multimedia lesson about the states of water.

Design Implications¶

Context¶

Requirements¶

Learning materials must describe all dimensions of the concept as well as dimensions that are not part of the concept
Explicit visual models are needed to teach complex spatial and causal properties difficult to convey in words

Constraints¶

These elements of complex learning cannot be supported through text-based instruction alone

Target Learners¶

elementary-school children
novice science learners

Learning Goals¶

understanding observable and molecular properties of the three states of water
causal explanation of physical science phenomena

Claims¶

Examples¶

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Key Sources¶

Anggoro, F. K., Stein, N. L., & Jee, B. D. (2012). Cognitive factors that influence children's learning from a multimedia science lesson. International Electronic Journal of Elementary Education, 5(1), 93-108. https://www.iejee.com

Page metadata

Field	Value
`type`	`design`
`id`	`theory-of-complex-learning-three-types`
`title`	`Theory of complex learning: three types of learning required for science knowledge acquisition`
`description`	`The article describes a theory of complex learning in which "knowledge acquisition in the sciences requires three types of learning: concept learning, causal explanation-based learning, and argument learning." Concept...`
`status`	`review`
`generated`	by `process:settle-candidates` on `2026-11-03`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `anggoro-2012`

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