Introduction

This track focuses on the theoretical, model-based, strategic, and practical aspects of artificial intelligence (AI) in education, as well as the design, technology, and evaluation of intelligent learning environments. It also explores various scenarios for the application of AI in education.
   The goal of this sub-conference is to better understand the various facets of the integration of AI and education, promoting the design and development of learning systems supported by AI. The development of AI in education applications and practices, along with the creation of intelligent learning environments, results from the convergence of multiple disciplines, including learning technology, educational research and practice, cognitive and learning sciences, computer science, psychology, linguistics, and other related fields. The challenges faced by AI in education stem from its interdisciplinary nature, often requiring collaboration among experts from various domains to provide innovative, interdisciplinary solutions to enhance teaching and learning.
   This track aims to gather renowned experts and scholars globally in this field, using this open platform as a foundation to collectively explore new theoretical and practical insights, further advancing the development of this field.

Paper Submission Topics (including but not limited to the following)

1.Theories, models, and strategies of AI in Education (AIED)

2.Teaching practices in AI Education

3.Applications of generative AI models, large language models, and multimodal models in education

4.Construction and application of large-scale educational models

5.Construction, application, and evaluation of intelligent teaching systems

6.Ethical, moral, and regulatory considerations in AI in Education (AIED)

7.Educational applications of deep neural network technologies

8.Applications of knowledge graphs in education

9.Emerging AI models such as contrastive learning, meta-learning, and few-shot learning in education

10.Research on AI and adaptive learning

11.Learning analytics research based on big data

12.Learning research using context-aware sensing technologies

13.Adaptive diagnostics for personalized learning characteristics of students

14.Intelligent decision-making in educational management

15.Educational robots and intelligent learning companions

16.AI-based automatic problem-solving and tutoring systems

Paper Submission

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 contents, and the reference part. After the paper is being accepted, the author information will be displayed in the final version of the submitted paper.
  1.Authors should only prepare submissions in Chinese (Long paper: 8 pages; Short paper: 4 pages; Poster: 2 pages). Submissions written in Chinese should include the title, abstract and keywords written in both Chinese and English.
  2.Authors should make submissions by uploading papers onto the Submission System of the conference https://easychair.org/conferences/?conf=gccce2025
  3.Authors should submit papers with PDF format. Please make use of the paper template for preparing submissions.
  4. Please pay attention to all English papers, regardless of topic, please submit to English Paper Track。
  5. At least one author is required to register and present for publication once a paper is accepted.

C6 Program Committee

Executive Chair

Co-Chairs

Program Committee Members