The 22nd edition of the International Salon on Future Education - The Use and Abuse of Generative AI in Education
01 Lecture information
Topic: Use & Abuse of Generative AI in Education
The Use and Misuse of Generative AI in Education
Lecture time: 18:00-19:30 p.m., April 11, 2024
Lecture venue: A101 salon area of the Teaching Building
Format: online and offline
Speaker: Prof. Xiangen Hu (胡祥恩教授)
Affiliation: The Hong Kong Polytechnic University
Expert Email: Xiangenhu@gmail.com
02 Lecture Summary
This lecture will explore in depth the impact and impact of generative artificial intelligence on educational change, especially its potential for enhancing sexualized learning and creativity development. At the same time, we will also discuss the risks of misinformation and academic integrity that it brings. This lecture will introduce "Socratic Playground for Learning", an example of the responsible use of generative artificial intelligence in educational settings, emphasizing the need for ethical guidelines. This model will show you how to effectively integrate artificial intelligence, ensuring that it enriches the learning experience without compromising the value and integrity of education.
03 According to experts
Professor Hu Xiangen is the director of the Center for Education Research and Chair Professor of Learning Science and Technology at the Hong Kong Polytechnic University. He has served as a professor in the Department of Psychology, Department of Electrical and Computer Engineering, and Department of Computer Science at the University of Memphis for 30 years, and has served as a senior researcher at the Institute of Intelligence Systems at the University of Memphis. He has served as a professor and dean of the School of Psychology at Central China Normal University, led the University of Memphis Advanced Distributed Learning Collaborative Laboratory, and served as a senior researcher at the Key Laboratory of Adolescent Network Psychology and Behavior at the Ministry of Education Professor Hu's research focuses on four key areas: developing mathematical models to decode human cognitive behavior; specializing in research design and statistical analysis, particularly the analysis of categorical data using general processing tree models; delving into artificial intelligence for knowledge representation; creating computer tutoring systems; and enhancing distributed learning techniques.