EdUHK Delegation Explores AI-Driven Education Innovation and Collaboration at Central China Normal University (CCNU)
A delegation led by the Director of Centre of Learning Teaching and Technology (LTTC), Chair Professor XU Guandong from The Education University of Hong Kong (EdUHK) visited the Faculty of Artificial Intelligence in Education of Central China Normal University (CCNU), with aims of engaging in in-depth discussions on cutting-edge intelligent education technologies and collaborations. The visit led to several agreements on strategic cooperation. Dr. Sun Daner, Associate Head of Department of Mathematics and Information Technology (MIT), Dr. Yang Yu, Assistant Professor at LTTC, and Dr. Yang Yin Nicole, Research Assistant Professor at MIT, participated in the visit and discussions alongside Prof. Wu Di, Deputy Dean of the Faculty of Artificial Intelligence in Education, and Associate Director of the National Engineering Research Center for Digital Learning, along with Prof. Wu Longkai and Prof. Wu Helin from CCNU.
During the visit, the delegation toured the Smart Classroom at the Nanhu Complex, the National Engineering Research Center for Educational Big Data Applications, the National Engineering Research Center for Digital Learning. They experienced the real-world applications of intelligent teaching systems and multimodal interactive technologies including the Xiaoya learning management system.
Professor XU Guandong delivered a keynote lecture titled “Educational Innovation and Practice Empowered by Large Language Models and Multi-Agent Systems”. Professor Xu systematically explored the innovative applications of large language models and multi-agent technologies in knowledge tracing, instructional integration, and intelligent tutoring. He emphasized the transformative potential of the Model-as-a-Service (MaaS) paradigm in enhancing personalized teaching and assessment in higher education. More than 60 teachers and students attended the talk.
During the round table meeting, both parties (EdUHK and CCNU) attended the discussion, and reached a series of agreements to deepen collaboration in research and teaching. Moving forward, both institutions will continue to strengthen the integration of AI technologies and educational practice, jointly contributing to the global advancement of digital education transformation.