Special Session II: Artificial Intelligence Empowered Education Innovation and Transformation
Artificial Intelligence (AI) is reshaping traditional educational paradigms in an unprecedented way, significantly improving the efficiency, equity, and innovation of education through personalized learning, intelligent assessment, and immersive experiences. This special session delves into the multifaceted applications of AI in education and its transformative potential, comprehensively demonstrating how AI technology is driving the leapfrog development of teaching methods, learning modes, and educational equity. Key topics include but are not limited to:
-Intelligent recommendation and
optimization of personalized
learning paths
-AI-based educational
assessment and feedback systems
-Application of virtual
teachers and educational robots
in the classroom
-Intelligent analysis and
visualization of multi-modal
learning data
-Immersive learning experience
in educational meta-universe
-Intelligent Classroom
Interaction System Based on
Natural Language Processing
-Innovative Application of AI
Technology in Educational Equity
and Special Education
-Digital Literacy Evaluation
for Teachers and Students
-Educational Evaluation Based
on Big Model
-Construction and Empirical
Research of Intelligent Guided
Learning System
Session Chairs
Prof. Leyuan Liu, Central China Normal University, Wuhan, China
Prof. Yantao Wei, Central China Normal University, Wuhan, China
Important Dates
Submission Deadline: April 20,
2025
Notification date: May 20, 2025
Registration: June 10, 2025
Camera Ready: June 10, 2025
Conference Dates: September
19-21, 2025
Submission Method
Enter the submission system and click to submit to Special session II: Artificial Intelligence Empowered Education Innovation and Transformation.
Bio of the organizers:
Dr. Liu Leyuan is a professor and Ph.D. advisor at the National Engineering Research Center for E-Learning and the National Engineering Research Center for Educational Big Data, Central China Normal University. His research interests include computer vision, AI+Education, educational metaverse, and educational big data. He has presided over more than 10 projects including the National Natural Science Foundation of China (NSFC), the National Key Research and Development Program, and the Natural Science Foundation of Hubei Province. He has published more than 70 papers in journals such as IEEE Transactions on Multimedia and Acta Automatica Sinica, as well as at top-tier AI conferences such as CVPR and ECCV. He has won one first prize of Hubei Provincial Science and Technology Progress Award, two second prizes of Hubei Provincial Outstanding Achievement Award in Social Sciences, and one first prize of Hubei Provincial Outstanding Paper Award in Natural Sciences.
Dr. Yantao Wei is a Professor
and Guizi Young Scholar at
Central China Normal University.
He is also the Deputy Director
of the Hubei Key Laboratory of
Digital Education and the Key
Laboratory of Adolescent
Cyberpsychology and Behavior,
Ministry of Education. His
research focuses on learning
analytics, artificial
intelligence, and computer
vision. He has led more than 10
projects, including the National
Natural Science Foundation of
China (NSFC), and the Natural
Science Foundation of Hubei
Province. He has been awarded
the First Prize of Hubei
Provincial Natural Science Award
and the Technology Innovation
Award from the China Electronics
Video Industry Association. He
has published more than 50
academic papers in international
journals and conferences,
including Pattern Recognition,
IEEE Transactions on
Cybernetics, IEEE Transactions
on Geoscience and Remote
Sensing, Neurocomputing, and
Infrared Physics & Technology.
Two of his papers have been
selected as ESI Highly Cited
Papers. He has applied for seven
invention patents and more than
ten software copyrights. He has
served multiple times as Chair
of the sub-conferences of the
Global Chinese Computer
Education Conference (GCCCE) and
as an area chair of the ICIP.