9 papers
A Dynamic Coupling Theory of Expertise Through Thinking Flow and Workflow Evolution
Annie Yuan
Expertise has long been explained through tacit knowledge, deliberate practice, skill acquisition, and expert performance. While these perspectives have advanced understanding of e…
From Craft Practice to Aesthetic Cognition Transmission: Workflow Cognition Translation for AI-native Intangible Cultural Heritage Education
Annie Yuan
Intangible Cultural Heritage (ICH) education has traditionally relied on apprenticeship, embodied participation, and long-term engagement with masters, materials, and cultural envi…
Tacit Signal Infrastructure: Towards AI Systems that Model Expert Sensing Over Time
Annie Yuan
Current generative AI systems are increasingly effective at processing explicit knowledge, including retrieving information, summarising documents, generating explanations, and sup…
Expert Cognition Dashboard: From Learning Analytics to Cognition Intelligence in AI-Driven Education
Annie Yuan
Current AI-driven educational systems primarily rely on behavioural analytics, performance metrics, and content-level interactions to model learning. While these approaches provide…
Modelling Expert Cognition Beyond Behaviour: Towards Interpretation, Tension, and Value Structures
Annie Yuan
Existing computational models of expertise primarily focus on observable behaviour or decision outcomes, failing to capture the internal cognitive structures that generate expert r…
AI Expert Twin: Capturing Expert Cognition for Human-Centred, Practice-Based Learning
Annie Yuan, Xiaohua Chen, Kalina Yacef +1
Tacit knowledge embedded in expert practice remains difficult to capture, formalise, and scale. While AI-driven educational systems have advanced personalisation, learner modelling…