报告人：Dr. Yossi Ben Zion

单位：Department of Physics, Bar-Ilan University

报告时间：2025年5月13日星期二 16:00

报告地点：知新楼量子报告厅

邀请人：王春明

Abstract:

Generative Artificial Intelligence (AI) is revolutionizing education by enabling dynamic and personalized learning tools. This talk presents a methodology for creating physics simulations using AI models (LLM).  By leveraging these tools, educators and learners can generate simulations of physical phenomena without prior coding expertise.

We showcase five primary examples: free fall, the simple pendulum, electric field simulations, the random walker, and the Ising model. These simulations were selected to demonstrate the versatility of the AI-generated tools, representing diverse topics typically taught in introductory physics courses. These examples demonstrate how a generic, adaptable AI prompt can support educators and students in exploring diverse physical phenomena interactively. Validation processes ensure accuracy and usability, including technical checks for responsiveness and physical tests for consistency with theoretical models.

Biography:

Dr. Ben-Zion completed his B.Sc., M.Sc., and Ph.D. degrees at Bar-Ilan University and is recognized for excellence in teaching, having received multiple teaching awards, including being named among Israel’s most beloved lecturers by the National Student Union. Dr. Yossi Ben-Zion is Deputy Dean of the Faculty of Exact Sciences and Deputy Chairman of the Department of Physics at Bar-Ilan University, where he oversees the department’s curriculum and international development. In addition to his extensive teaching activities, Dr. Ben-Zion conducts innovative research on the integration of artificial intelligence in physics education and the assessment of teaching quality through AI technologies.