What does "human-centered teaching" truly mean from all sides of the university? Moving beyond siloed conversations, this roundtable brings students, instructors, and administrators together to explore the human tensions inherent in future-shaping learning and teaching. As higher education embraces open resources and AI, we face complex questions that challenge our core practices. This session will foster a critical, multi-perspective dialogue on balancing student agency with academic rigour, ensuring equity in an age of AI, and reimagining assessments to be both meaningful and compassionate. We invite you to join our conversation as we seek to bridge the gaps between faculty intention, institutional goals, and the lived student experience.

Theresa Kwong, PhD

Director, HKBU

Kuei-Yuan Chan, PhD

Professor, NTU

Tracy Zou, PhD

Asst. Prof, CUHK

Peter Lau, PhD

Lecturer, HKU

Jonathan Liu

PhD Candidate/Instructor, NYCU

Joanna Chen

Freshman, NYCU

Effective mentorship is a craft developed through intentional practice, not just prior experience. While many faculty were once mentees, transitioning to the role of mentor requires mastering specific mentoring fundamentals. In this interactive workshop, we move beyond intuition to explore evidence-based principles of quality mentoring. Participants will collaborate to define excellence in mentoring and develop practical strategies applicable across diverse settings—from research-intensive labs to open-university classrooms. Key takeaways: i.) Differentiate between the experience of being mentored and the professional skill of mentoring, ii.) Identify core elements that foster high-quality, sustainable mentorship. iii.) Develop mentoring frameworks tailored to various institutional, disciplinary, and cultural contexts.

Spencer Benson, PhD

Director, EII

Gina Bonior, PhD

Dean, Silliman Univ.

Artificial intelligence is rapidly being deployed across teaching, research, and administration in higher education—but deployment alone does not ensure readiness. This Administrators Roundtable brings together senior academic leaders to examine how universities must move beyond technological adoption toward intentional governance and institutional redesign. The discussion will focus on aligning infrastructure, incentives, faculty development, and policy frameworks to cultivate judgment, ethical responsibility, and systems-level thinking. Future-ready universities will not be defined by how quickly they adopt AI, but by how effectively they re-architect themselves to govern it wisely and sustainably.

Haydn Chen, PhD

CSO, NYCU

Yong-Sheng Chen, PhD

VP, Academic Affairs, NYCU

Martin Wong, PhD

Provost, HKBU

Hui-Huang Hsu, PhD

VP, Tamkang Univ.

This panel brings together four AdvanceHE HEA Fellows and Senior Fellows, all active NYCU HEAT mentors, to examine how AI integration can be pedagogically principled, professionally accountable, and standards-informed. Grounded in the Professional Standards Framework (PSF 2023), a globally recognised professional standard for teaching and supporting learning in higher education, the four presentations address complementary dimensions of AI-enhanced practice: PSF-guided course redesign in ESAP and ELT teacher education; Copilot-assisted programming in medical image analysis; Physical AI system design bridging simulation and embodied practice; and AI-resilient video-based performance assessment. Together, these cases offer a transferable, evidence-informed framework for moving AI integration from experimentation toward professionalization across diverse disciplinary contexts.

Lu-Chun Lin, PhD

Director, NYCU

Chia-Feng Lu, PhD

Associate Dean, NYCU

Yi-Ting Chen, PhD

Assoc. Prof, NYCU

Polly K. Lai, PhD

Senior Lecturer, Southern Cross Univ.