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The 2nd Workshop on Large Language Models in Education at ICCE 2025
(2nd LLM-Edu Workshop)

As a significant breakthrough in the realm of generative artificial intelligence, large language models (LLMs) are increasingly permeating educational landscapes and revolutionizing teaching and learning. LLMs possess robust semantic comprehension and text generation capabilities that surpass traditional natural language processing methods, and they furnish more precise and personalized teaching and learning support through deep learning from vast data sets. The application based on LLMs not only provides students with abundant learning resources but also offers diverse learning scaffolds to guide them in problem-solving. Additionally, LLMs can be utilized for automated teaching diagnosis, mitigating teachers' workload while enabling them to grasp learning situations efficiently, adjust teaching strategies, and devise more effective teaching evaluation methods. This workshop provides an open forum for researchers, practitioners, and developers to share empirical studies, innovative applications, and theoretical reflections on LLM-based educational tools and agents. Building on the success of the 1st Workshop on Large Language Models in Education held at the 28th Global Chinese Conference on Computers in Education (GCCCE 2024), the 2nd edition will be held at ICCE 2025, chaired once again by Professor Bo Jiang from East China Normal University, recipient of the 2021 APSCE Early Career Research Award.

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Workshop Chairs

Professor Bo Jiang, Workshop Chair


East China Normal University, China

Bo Jiang received the Ph.D. degree in control science and engineering from Zhejiang University, Hangzhou, China, in 2014. He is currently a Professor at Shanghai Institute of Artificial Intelligence for Education, East China Normal University (ECNU), Shanghai, China. Before joining ECNU, he was an Associate Professor with the Department of Educational Information Technology, Zhejiang University of Technology, Hangzhou. His current research interests include learner modeling, learning analytics, and computer science education. He is currently served as Executive Committee member of the Asia-Pacific Society on Computers in Education (APSCE), and the Editorial Board member of IEEE Transactions on Learning Technologies and Research & Practice in Technology Enhanced Learning. He received the 2021 APSCE Early Career Research Award.


Distinguished Professor Hui-Chun Chu, Workshop Co-Chair


Soochow University, Taiwan, China

Distinguished Professor Hui-Chun Chu serves at the School of Business, Soochow University in Taipei, Taiwan. She holds a Ph.D. in Information and Learning Technology from the National University of Tainan. Professor Chu specializes in areas including Agriculture and Resource Economy, Econometrics, Consumption and Health Economy, Higher Education Economic Analysis, and Productivity and Efficiency Analysis, and teaches courses on Industrial Economics as well as Performance Evaluation focusing on productivity and efficiency analysis.


Professor Chengjiu Yin, Workshop Co-Chair


Kyushu University, Japan

Research and Practice in Educational Technology For over 20 years, I have been engaged in research and practice in the field of Educational Technology, as well as in the education of students. My primary objective is to explore the nature of intelligent information environments that facilitate the transmission, awareness, and creation of knowledge. To this end, I have conducted research on educational and learning support using ICT. In my research, I place strong emphasis not only on the design, development, and evaluation of systems, but also on their implementation in real educational settings. By scientifically analyzing and addressing educational and learning challenges, I aim to make tangible contributions to actual classroom environments. With the advancement of foundational information technologies—such as mobile learning, social learning, text mining, educational big data, and artificial intelligence—I have continued to promote research that addresses the ever-emerging challenges in the field.


Workshop Program Committee


  • Jingyun Wang, Durham University
  • Ping Li, Hong Kong Polytechnic University
  • Daner Sun, The Hong Kong University of Education
  • Huixiao Le, Peking University
  • Ming Gao, Shanghai Normal University
  • Qin Chen, East China Normal University
  • Chanjin Zheng, East China Normal University
  • Yuang Wei, East China Normal University
  • Yuan-Hao Jiang, East China Normal University

Call for Papers

Contact Us

Email: yuanhao.cs.edu@gmai.com (Yuan-Hao Jiang)
Please begin the subject line of your email with [LLM-Edu Workshop at ICCE] so that we can prioritize your request.

Shanghai Institute of Artificial Intelligence for Education,
East China Normal University, Shanghai, 200062, China

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