About this webinar
This session examines how AI is transforming assessment design, feedback, and evaluation in higher education, while equipping educators to integrate AI effectively, address its limitations, and uphold academic integrity.
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.

