Workshop/ 工作坊
Title: AI-Driven Entrepreneurship Education: Designing Ethical, Innovative, and Market-Relevant Learning Experience
Workshop Objectives
By the end of the workshop, participants will be able to:
- Analyse the role of AI across key stages of the entrepreneurial process (ideation, validation, execution, and scaling)
- Critically evaluate AI tools for entrepreneurship education from pedagogical and ethical perspectives
- Design AI-enhanced entrepreneurship learning activities aligned with venture-based learning outcomes
- Develop strategies to cultivate entrepreneurial judgment, creativity, and agency alongside AI use
- Facilitate honest and robust conversations with students about responsible AI use in entrepreneurial contexts
Proposed Facilitators
Dr. Michael Mustafa, University of Nottingham Malaysia
Dr. Mustafa Ozguven, Xi’an Jiaotong-Liverpool University (XJTLU)
Mr. Sheng, Haung, PhD Candidate, University of Nottingham Malaysia
Workshop Duration
3-4 hours
Proposed Workshop Structure
Session Name |
Proposed Duration |
Description |
Shared Realities and Challenges |
45 Minutes |
Participants share current uses of AI in entrepreneurship education, highlighting successes, constraints, and key challenges. Structured discussion supports collective sensemaking and helps prioritise focus areas for the workshop. |
Best Practices Exchange – What Works and Why |
45 Minutes |
Participants exchange concrete examples of AI-driven practices. Facilitated dialogue focuses on identifying underlying principles that make practices effective and transferable |
Co-Creation Design Lab – Building Better Practices Together |
75 Minutes |
In mixed groups, participants co-design or refine AI-enhanced entrepreneurship learning activities. Designs emphasise experiential learning, real-world problem solving, and responsible innovation, supported by peer feedback. |
From Ideas to Actionable Best Practices |
45 Minutes |
Participants synthesise co-created ideas into practical best-practice guidelines. Discussion addresses implementation, scalability, and evaluation across different educational contexts. |
Submission System | https://www.zmeeting.org/submission/icaie2026