
Faculty Development+1
Wednesday
Wednesday
ONLINE
Preparing Students for the AI-Driven Workplace
By Prof. Zhu Xi, Chinese University of Hong Kong, Shenzhen
Objective:
To explore how AI is transforming assessment design, feedback delivery, and academic evaluation while maintaining academic rigor and integrity.
Key Learning Outcomes:
• Learn how AI can assist with automated feedback, formative assessments, and student analytics
• Design AI-integrated assessment strategies aligned with learning outcomes
• Understand limitations and risks of AI in grading and testing
• Explore ways to detect and address AI-generated student submissions
Resource Person Background
Professor Zhu Xi holds a B.S. in Applied Physics from USTC (Special Class for the Gifted Young) and a Ph.D. in Materials Science and Engineering from Nanyang Technological University. He pioneered China’s first chemical experiment robot, AIR-Chem (2018), and has since developed over ten intelligent laboratory systems. He authored the world’s first book on AI robotics in materials science.

