AIP–TDA 2.0: A governance architecture for AI-enabled teaching design
Defines coordinated roles, routing logic, review gates, and teacher accountability in multi-agent educational systems.
RESEARCH
Selected publications and reports across educational AI, applied higher education, data mining, and intelligent systems.

The research portfolio spans more than three decades. Recent work concentrates on AI-enabled teaching design, problem competency, evidence-informed learning, and governance. Earlier work in expert systems and data mining provides a technical and conceptual foundation for the current agenda.
Defines coordinated roles, routing logic, review gates, and teacher accountability in multi-agent educational systems.
Connects learning evidence, question trajectories, and project-based inquiry in an integrated design framework.
A curriculum model grounded in hospitality-management scenarios and interdisciplinary AI literacy.
Explores how AI can support evidence-rich, developmental outcome evaluation in higher education.
A practice-informed account of curriculum, institutional design, and talent development in applied higher education.
A bilingual research report examining institutional purpose, educational philosophy, and the relationship between global models and Chinese practice.
Early research on knowledge representation and intelligent information processing.
Applied research on KDD and customer-relationship management, anticipating later data-driven educational work.
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