This sub-conference focuses on the theoretical development, application models, teaching strategies, and practical outcomes of artificial intelligence in education. It covers key topics such as the design, technology, and evaluation of smart learning environments, as well as the construction of innovative educational scenarios supported by AI.

The aim of this sub-conference is to foster a multifaceted understanding of the integration of AI and education, and to promote the design, development, and implementation of AI-assisted learning systems and smart learning environments. This field requires the convergence of multiple disciplines, including learning technologies, educational practice, cognitive and learning sciences, computer science, psychology, linguistics, and others. It faces significant interdisciplinary challenges that demand deep collaboration among educators, technologists, and practitioners to develop innovative and effective solutions.

This sub-conference seeks to bring together leading scholars and practitioners from the global Chinese-speaking academic and professional communities. Through this open platform, we aim to exchange the latest research findings, practical experiences, and future perspectives, and to continuously advance the development and innovation of AI applications in education and smart learning environments.

• Theories, models, and instructional strategies in Artificial Intelligence in Education (AIED)
• Applications and empirical studies of AI in educational practice
• Applications of generative AI, large language models (LLMs), and multimodal foundation models in education
• Design, development, and deployment of education-specific foundation models
• Construction, instructional design, and effectiveness evaluation of intelligent teaching systems
• Ethics, privacy, and regulatory issues in AI applications for education
• Innovative applications of deep learning in teaching and learning support systems
• Applications of knowledge graphs in instructional content construction and learning process analysis
• Emerging AI techniques (e.g., contrastive learning, meta-learning, few-shot learning) in educational settings
• AI-driven adaptive learning and personalized instruction
• Learning analytics and visualization of learning behavior based on big data
• Design of smart learning environments integrating sensing and context-awareness technologies
• Learner profiling and diagnostic modeling for personalized learning pathways
• Intelligent decision support systems in educational management
• Educational robots and AI companions for interactive teaching
• AI-powered systems for automatic problem-solving, learning diagnosis, and intelligent tutoring

Full manuscripts shall be submitted to the conference for review. Abstract submissions will NOT be accepted. This conference uses double-blind review, which means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. Please kindly note that when authors submit papers for review, the authors’ information has to be blinded in the title, the content, and the references. After the paper is accepted, the author information will be displayed in the final version of the submitted paper.

Since 2020, all sub-conferences of GCCCE will only accept papers submitted in Chinese. Therefore, papers submitted to all sub-conferences must be written in Chinese (Long paper: 8 pages; Short paper: 4 pages; Poster: 2 pages). Chinese papers must include titles, abstracts, and keywords in both Chinese and English, and the full paper in PDF format must be uploaded to the conference website: https://easychair.org/conferences/?conf=gccce2026. Please refer to the paper submission templates for formatting your paper. Please note that all English papers, regardless of topic, should be submitted to the "English Paper Track."

At least one author is required to register and present for publication once a paper is accepted.

Program committee of the sub-conference

Co-Chairs of the sub-Conference (in alphabetical order by surname):

CaiKe, Capital Normal University

Wang Shu-ming, Culture University

Wong Yoke Seng, Sultan Idris Education University

Wu Wen-Chuan, Ilan University

Program Committee Members (in alphabetical order by surname):

Lee Yih-Jiun, Cultural University

Li Yanyan, Beijing Normal University

Liao Chang-Yen, Taiwan Central University

Lien Kai-Wen, Cultural University

Lin Hsi-Chung, Taipei University of Business

Lin Hota Chia-Sheng, Chiayi University

Lin Pei-Yu, Kaohsiung University of Science and Technology

Liu Yi-Fen, Feng Chia University

Loy Chee Luan, Sultan Idris Education University

Lu Tzu-Chuen, Chaoyang University of Technology

Mohamad Yatim Maizatul Hayati, Sultan Idris Education University

Morikawa Tomohiro, University of Hyogo

Ouyang Yuanxin, Beihang University

Pu Juhua, Beihang University

Su Ming-Hsiang, Soochow University

Su Wei-Tsung, Ilan University

Tai Wei-Liang, Taichung University of Science and Technology

Wang Chun-Chieh, Pingtung University

Wang Dennis, Taiwan Yang Ming Chiao Tung University

Wang Fu-Hsing, Cultural University

Wang Jia-Wen, Chaoyang University of Technology

Wang Shir Li, Sultan Idris Education University

Wang Qiong, Peking University

Wu Fati, Beijing Normal University

Yang Kai-Hsiang, Taipei University of Education

Zhu Sha, Central China Normal University

Zhu Yonghai, Capital Normal University