ICMET 2026 Invited Speakers

IS

Prof. Alexander Kusenko

University of California, Los Angeles, USA

Bio: Alexander Kusenko is a Distinguished Professor of Physics and Astronomy at UCLA. He also holds an appointment of Senior Fellow at the Kavli Institute for the Physics and Mathematics of the Universe (IPMU) at the University of Tokyo. He is an Associate Editor of Reviews of Modern Physics, the most highly cited journal published by the American Physical Society. Kusenko is a Fellow of the American Physical Society (elected in 2008 “for original and seminal contributions to particle physics, astrophysics, and cosmology”). In 2021, Kusenko was named a Simons Fellow in Theoretical Physics. He received an Outstanding Referee Award from the American Physical Society (2012). He has served as a general member of the board of the Aspen Center for Physics for three five-year terms (2004-2019). Website: https://kusenko.physics.ucla.edu

Title: Effective, Evidence-based Use of AI in Undergraduate Courses

  • Abstract: : Recent education research published by UCLA and UCSD researchers shows effectiveness of AI tools in improving the learning outcomes in undergraduate courses. A curated AI chat assistant and AI generated hints were integrated into the homework assignments, reducing or eliminating the cost to the student, in terms of time, energy, and social barriers or fear of judgment. The learning outcomes were analyzed and published in a peer-reviewed paper Y. Lu, K. Supriya, S. Shaked, E. H. Simmons, A. Kusenko, Rev. Phys. Educ. Res. 21, 010160 (2025). The results show that all the students benefit from these AI tools, and the students who had less-than-adequate preparation coming into the class receive the greatest benefit. Inspired by the results of this research, UCLA has started a program AI and Mathematical Skills (AIMS), implementing these successful interventions in a broad range of undergraduate classes. Other universities in the USA and in Japan have expressed interest in using similar AI tools in their classes. In addition, AI proves useful in designing the learning materials and custom built “textbooks” designed for specific courses. I will review the research results and their implementation at UCLA and beyond.

  • Dr. Susannah SUN

    Asst. Prof. Susannah SUN CHUNRONG

    University of Saint Joseph, Macao

    Bio:Dr. SUN is an Assistant Professor in School of Education in the University of Saint Joseph. She got her Doctoral degree major in Early Childhood Education (ECE) from The Education University of Hong Kong. Before that, she worked as a lecturer in Qujing Normal University for nearly 5 years in Mainland China. She taught many courses in pre-service and in-service teachers' training programmes, including Introduction to Education, Curriculum Development, Teaching Methods in ECE, Language / Health / Society / Science Education in Kindergarten. Her research interests cover a range of topics in education, including early language and literacy develop and learning, teaching and learning in the early years, teachers' beliefs and professional development, etc.

    Title: To be announced

  • Abstract: To be announced