Date: 15th November 2024
I. Introduction
The rapid advancement of Generative AI (GenAI) technologies is fundamentally transforming the landscape of transitional higher education, particularly in engineering fields. This leadership forum brings together key stakeholders from academia, government, and industry to explore the far-reaching implications of GenAI on curriculum design, teaching methodologies, research priorities, and workforce preparation. The discussion will focus on the implications of GenAI on transnational higher education, focusing on policy, ethical considerations, funding, and the future landscape of teaching and learning.
Round table discussion topics:
Strategic Implementation: How can universities strategically adapt their engineering curricula to incorporate GenAI technologies while maintaining a strong foundation in core principles?
Impact on Teaching and Learning: What changes do you foresee in the teaching methodologies and learning experiences due to the adoption of GenAI technologies? Are there specific examples where GenAI has already been implemented successfully?
Case Studies and Real-World Examples: Can the panel share any real-world examples or case studies where GenAI has been successfully integrated into higher education? What lessons can be learned from these experiences?
Collaboration Between Universities and Industry: How can universities collaborate with industry partners to align AI-related education with real-world applications and workforce needs? What role should private sector partnerships play in developing AI competencies?
Policy Frameworks: What role should the government play in funding and regulating GenAI research and its integration into higher education?