Cognitive architectures reproduce fine-grained educational phenomena beyond final accuracy, including reaction time distributions and qualitative error patterns¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Symbolic and hybrid cognitive architectures such as ACT-R reproduce reaction time distributions, dual-task interference, and qualitative error patterns because capacity limits are embedded in the architecture. → Peng Wang 2026

Evidence¶

Peng Wang 2026¶

Peng Wang, Olga Viberg, Effie Lai-Chong Law, Samuel Greiff. (2026). When Can AI Models Explain Learning? Validity Criteria for AI as Cognitive Models in Education. Educational Psychology Review. https://doi.org/10.1007/s10648-026-10202-y

q2 · i? · review · r2

Narrative review assertion about cognitive architectures in educational psychology. The review attributes this to their resource-constrained modular design, in which working memory capacity is limited and explicit, long-term memory items vary in activation and decay, and attentional focus is constrained by serial processing bottlenecks.

"they can reproduce fine-grained educational phenomena beyond final accuracy, including reaction time distributions, dual-task interference, and qualitative error patterns"

Discussion¶

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