About CAIDE 2027

2027 International Conference on Artificial Intelligence and Digital Education (CAIDE 2027) will be held from March 19–21, 2027, in Shenzhen, China.The conference brings together scholars, educators, technology researchers, and industry practitioners in artificial intelligence, educational technology, and digital education to explore cutting-edge research in AI-enabled learning, adaptive and intelligent education systems, learning analytics, and generative AI.
CAIDE 2027 provides an international interdisciplinary platform for advancing the integration of artificial intelligence with digital education, with a focus on personalized learning, intelligent educational technologies, human-AI collaboration, and digital transformation in education. We invite researchers, educators, students, and industry professionals worldwide to share innovative research and explore emerging directions in AI-driven digital education.   
                                                                                                                                                                                                                                                  

Important Dates

Full Paper

Submission Date

January

02

2027

Notification 

Deadline

February

02

2027

Final Paper 

Submission Date

February

17

2027

Conference

Dates

March

19-21

2027

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Countdown to the Conference:

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Conference Topics

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

📚︎Track 1: Adaptive Learning & Intelligent Tutoring Systems

Adaptive Learning Paths & Personalized Recommendation

Learner Modeling & Cognitive Diagnosis

Intelligent Tutoring Systems & Conversational Agents

Intelligent Learning Resource Retrieval & Recommendation

Learning Emotion & Classroom Behavior Analysis

Blended Learning Environment Design

Gamified & Immersive Learning

Collaborative Learning & Social Computing

Adaptive Testing & Intelligent Assessment

📚︎Track 2: Learning Analytics & Educational Data Mining

Learning Behavior Sequence Mining

Academic Prediction & Early Warning

Knowledge Tracing & Competency Assessment

Multimodal Learning Analytics

Educational Data Visualization

Educational Equity & Bias Detection

Learning Engagement & Self-regulated Learning

Teaching Evaluation & Intelligent Feedback Optimization

Educational Data Platforms & Privacy Security

📚︎Track 3: Large Language Models & Generative AI in Education

Educational LLM Training & Fine-tuning

Intelligent Content Generation

Conversational AI, Intelligent Agents & Educational Q&A

Automated Grading & Feedback

Generative AI-assisted Curriculum Design

Educational Content Safety & Hallucination Mitigation

AI-generated Multimodal Learning Resources

LLMs in Programming & STEAM Education

Human-AI Collaboration, Intelligent Teaching Assistants & Decision Support

📚︎Track 4: Digital Education Platforms & Technologies

Smart Education Platform Architecture & Standards

Virtual Reality & Augmented Reality in Education

Blockchain, Digital Credentials & Trust in Education

Mobile Learning & Ubiquitous Learning

Education Metaverse, Digital Twins & Intelligent Learning Environments

Intelligent Educational Platforms & Learning Services

AI-enabled Digital Transformation in Education

Online Examination & Remote Proctoring

Accessible Learning & Inclusive Education

AI Ethics in Education & Governance

Publication

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All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to IEEE Xplore(ISBN:979-8-3195-5472-7), EI Compendex and Scopus for indexing. All conference proceedings paper must be at least 4 pages. 

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

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Contact

Conference Secretary: Rosa Wang

Tel: +86-17737319063 (Wechat)

E-Mail: caide_connect@163.com

If you have any questions or inquiries, please feel free to contact us.