01
AI–PBL & Problem Competency
Designing AI-supported learning environments that strengthen inquiry rather than automate it away.
RESEARCH · DESIGN · PRACTICE
Learning to frame better questions in an age of intelligent systems.
I work across artificial intelligence, higher education, and institutional practice—designing teaching agents, inquiry-based learning systems, and governance frameworks that keep human judgment at the center.
QUWEI YE
Education Researcher · AI Teaching-Agent Designer · Applied-University Practitioner
RESEARCH FOCUS
Three connected lines of inquiry
My work moves between theory, system design, and the realities of teaching. The common thread is problem competency: the capacity to notice, frame, investigate, and act on consequential questions.
02
Applied Higher Education
Connecting curriculum, learning outcomes, institutional quality, and the changing world of work.
03
AI & Human Development
Exploring agency, cognition, values, and the conditions for meaningful human growth with AI.
SELECTED PROJECTS
Featured work
Selected systems and conversations that show how the research becomes practice.
SYSTEM
AI Teaching-Agent Ecosystem
A coordinated family of course, method, design, and governance agents for teacher-led AI–PBL.
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DIALOGUE
AI & Humanities Salon
A public-thinking space for reclaiming judgment, attention, and intellectual responsibility.
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COLLABORATION
International Research Exchange
Collaboration around AI-enabled pedagogy, applied universities, and responsible educational innovation.
View projectPUBLICATIONS & SYSTEMS
Selected outcomes
AIP–TDA 2.0: Governance for AI-enabled teaching design
A framework for routing, review, boundaries, and accountable teacher oversight.
Conference paper · ITEA 2026Problem competency and the AI–PBL data hub
A system-level approach to evidence, inquiry trajectories, and learning design.
Conference paper · ICBBEM 2026AI-driven value-added OBE
Reframing learning evidence and outcome improvement in applied higher education.
Proceedings of SPIEFrom expert systems to educational AI
A research arc spanning fuzzy intelligent information systems, data mining, and contemporary teaching agents.
Selected research trajectoryNOW
Current directions
RESEARCH
Question competency as a core capability
Developing an integrative model of how learners identify, formulate, and refine meaningful problems with AI.
DESIGN
Teacher-governed multi-agent systems
Building usable review and boundary mechanisms into AI-supported course design.
PRACTICE
AI literacy in hospitality education
Connecting foundational AI concepts with data visualization, clustering, regression, and review analysis.
OPEN TO COLLABORATION
Let’s investigate consequential questions together.
I welcome conversations with researchers, educators, and institutions working on responsible AI-enabled learning and the future of applied higher education.
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