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Peng Wang

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Review Open access Sep 2026

A structured framework for human-AI resemblance: Evidence, inference and perception.

A structured framework in which every resemblance claim specifies the human reference class, the AI system and version, the task and context, the property compared, the measurement relation, the perturbations considered, the uncertainty of the estimate and the inference that the evidence permits is proposed.

Peng Wang, E. Law, Li-Ye Zou et al. · 0 citations
Review Open access Jul 2026

When Can AI Models Explain Learning? Validity Criteria for AI as Cognitive Models in Education

It is argued that AI-based cognitive models can, when they satisfy these criteria, help transform abstract learning theories into precise, testable, and educationally actionable accounts of how students learn.

Peng Wang, Olga Viberg, E. Law et al. · 3 citations · ⚡1

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