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Structural learning theory (SLT) is a deterministic theory that aims to explain, predict, and direct the behavior of individual subjects on specific problems in given domains. It covers knowledge representation, methods for constructing same, cognitive processes, knowledge assessment, and interactions between agents (e.g., teachers and students). This entry first discusses how in SLT, structural analysis is used to hierarchically represent higher and lower level knowledge with arbitrary levels of precision. It then discusses how these representations, together with SLT’s universal control mechanism and each individual’s processing capacity and processing speed, make it possible to infer individual knowledge and predict human behavior. Finally, the entry outlines how SLT can be used to build tutoring and adaptive learning systems.

Structural (Domain) Analysis

Structural analysis (SA) is a systematic method ...

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