AI-enabled PBL and problem competency
How AI can strengthen question formation, inquiry, evidence use, reflection, and learner agency in project and problem-based learning.
INTERNATIONAL COLLABORATION
An open invitation to collaborate on responsible educational AI, applied higher education, and human development.

My research combines a technical background in intelligent systems with long-term leadership and teaching experience in applied higher education. I am interested in collaboration that produces both conceptual insight and usable educational designs—comparative studies, joint research, curriculum experiments, seminars, and co-developed frameworks.
How AI can strengthen question formation, inquiry, evidence use, reflection, and learner agency in project and problem-based learning.
Transparent multi-agent architectures, role boundaries, review protocols, and accountable human oversight.
Curriculum transformation, value-added outcomes, quality development, and new relationships between education and work.
Interdisciplinary study of agency, attention, cognitive outsourcing, values, and meaningful growth in AI-rich environments.
Small, focused projects with clear questions, shared evidence, and publishable or practice-facing outcomes.
Co-designing and evaluating teaching-agent workflows, AI literacy modules, or inquiry-based course units.
Bilingual talks, workshops, roundtables, and sustained conversations across research and practice communities.
Training in applied mathematics and computer application technology, early AI research, and current system design.
A combination of university leadership, quality development, curriculum reform, and direct teaching practice.
Grounded access to questions of scale, transformation, employability, and responsible AI adoption in higher education.
Collaboration enquiries are welcome. A project-specific contact channel can be shared after an initial introduction.