17 Apr 2026
Recently, the Department of Physics at Xi'an Jiaotong-Liverpool University's (XJTLU) School of Mathematics and Physics successfully hosted the 'AI+ Education' Workshop. The event brought together leading experts from Tsinghua University, Zhejiang University, and XJTLU to engage in in-depth discussions on curriculum transformation, teaching practices, and the future educational ecosystem in the age of artificial intelligence.

The morning session was chaired by Professor Donghui Quan, Head of the Department of Physics.
In his opening remarks, Professor Jintai Ding, Dean of the School of Mathematics and Physics, noted that artificial intelligence is fundamentally reshaping teaching, research, and working paradigms. He emphasised that the core objective of the workshop is not merely to adopt cutting-edge tools, but rather to focus on proving through practical application that AI can genuinely enhance students' learning efficiency and bolster their future global competitiveness.

Professor Jintai Ding

Professor Donghui Quan
The workshop showcased multi-dimensional perspectives on integrating AI across various educational disciplines. Professor Xuesong Zhai from Zhejiang University opened the sessions by exploring the paradigm shift in future education driven by embodied intelligence. Subsequently, Professor Bin Wei from Tsinghua University and Mr Fenglin Ruan, Director of Tsinghua XuetangX in the Jiangsu Region, shared insights into the seamless integration of AI technologies and smart teaching tools, drawing upon frontline physics teaching practices and specialised developmental directions.

The afternoon session was chaired by Dr Xiaoying Pang. Dr Lingyun Yu from XJTLU’s Department of Computing, SAT, demonstrated how Augmented Reality (AR) visualisation technology empowers both research and teaching by rendering abstract concepts into tangible models. The event concluded with a 'hands-on workshop', where, under expert guidance, participating academics gained first-hand experience utilising AI tools for lesson preparation, research assistance, and classroom management.

The successful delivery of this workshop provided faculty members with not only forward-looking theoretical guidance but also practical, implementable tools. Moving forward, the School of Mathematics and Physics will continue to drive the deep integration of AI within foundational science education. The ultimate aim is to cultivate versatile talents equipped with both a robust academic foundation in the sciences and the proficiency to leverage cutting-edge tools in solving complex problems.
By Qinru Liu
17 Apr 2026