Brief Description:

With the rapid development of artificial intelligence technologies, their deep integration with the education sector has become a key direction of educational reform. This special topic focuses on how AI technologies can empower science and technology education in primary and secondary schools, systematically exploring pathways for the organic integration of technological tools and educational practice. The topic aims to break the spatial and resource limitations of traditional science and technology education, leveraging cutting-edge AI technologies to create more personalized, interactive, and innovative learning experiences for students, and ultimately cultivate future-oriented technological innovation talent. This topic develops research along three dimensions—conceptual interpretation, effectiveness evaluation, and practical application—constructing an integrated “theory–assessment–application” research framework. It examines how AI technologies reshape the concepts and models of science and technology education in schools, emphasizes the objective evaluation of educational outcomes, and explores practical solutions in emerging environments such as virtual learning spaces.

 

Session Organizer​

Assoc. Prof. Xinyi Wu, Dalian University, China
 

The topics of interest include, but are not limited to:

▪ AIGC-empowered restructuring, implementation pathways, and optimization strategies for science and technology education in primary and secondary schools
▪ Effectiveness evaluation of AI-based multimodal intelligent agents in primary and secondary school science and technology education
▪ Applications of virtual learning environments in enhancing science and technology experiments in primary and secondary schools
▪ Innovative AI-driven applications in science and technology education for primary and secondary schools (optional)

 

Submission Method

Submit your Full Paper (no less than 4 pages with two colums) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 8 (Research on Artificial Intelligence–Empowered Science and Technology Education in Primary and Secondary Schools)
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Introduction of Session Organizer

 

Assoc. Prof. Xinyi Wu
Dalian University, China

Bio: Wu Xinyi, Ph.D., is an Associate Professor at the School of Education, Dalian University, and a selected member of Dalian’s High-Level Talent Program. She serves as a committee member of the Assessment Subcommittee of the China Educational Technology Association. Dr. Wu has published multiple SSCI-indexed papers in the field of education, with research interests focusing on technology education, brain–computer interfaces, and virtual reality learning environments. She is also a reviewer for several SSCI journals in education and SCI journals in computer science.