Special Sessions

Special Session Ⅰ: Computing and AI Reshaping Education: Theory, Technology, and Practice

Session Chair: Assoc. Prof. Fan Zou, Sichuan Normal University, China

Information: Artificial intelligence and computing technologies are profoundly reshaping the form and essence of education. From technological frontiers such as generative AI and agentic systems, to the transformation of teaching and learning, educational equity, and governance, this interdisciplinary field calls for in-depth dialogue across multiple perspectives. This session targets researchers, educators, and developers from computer science, education, educational technology, and related fields, focusing on theoretical exploration, system development, empirical research, and policy practice of AI and computing in education. We welcome submissions on technological innovation, educational theory, applied empirical studies, and review articles, aiming to foster deep integration of technology and education and to advance a responsible educational innovation ecosystem in the intelligent era.

Topics:

1.Generative AI and Agentic Technologies in Education
Design, development, and applied research of large language models, multimodal AI, and multi-agent systems in teaching, learning, and assessment. Construction and effectiveness evaluation of adaptive learning systems, intelligent tutoring systems, and AI-powered learning companions. Design, development, and applied research of educational games, VR/AR learning environments, and other intelligent learning environments.
2.Data-Driven Learning Analytics and Intelligent Assessment in Education
Learner modeling, learning behavior analysis, and learning prediction based on multimodal data. Research on AI-driven educational assessment methods, including automated scoring, knowledge tracing, and process-based evaluation. Educational knowledge graphs, intelligent recommendation, and personalized learning path planning.
3.AI Literacy Education, Human-AI Collaboration, and Teaching Innovation
Research on AI literacy and computational thinking cultivation models for teachers and students. Strategies, tools, and effectiveness analysis of integrating AI into subject-specific teaching. AI-supported teaching innovation, including but not limited to human-AI collaborative teaching, blended learning, flipped classrooms, collaborative learning, and personalized instruction.
4.Ethics, Governance, and Theoretical Reviews of AI in Education
Algorithmic bias, data privacy, academic integrity, and reliability of AI-generated content in educational AI. Research on AI governance frameworks, usage guidelines, and policies in educational institutions. Theoretical construction, systematic reviews, meta-analyses, and research trend analyses in the interdisciplinary field of AI and education.

Submission Deadline: July 10, 2026