

WELCOME TO
AIETA 2027
Beijing, China | March 26-28, 2027
2027 2nd International Conference on AI in Education Technology and Application
Countdown to the Conference:
With the rapid advancement of artificial intelligence (AI), its deep integration with education is reshaping the global educational ecosystem. Innovative applications such as intelligent tutoring systems, personalized learning, and educational big data analytics are providing new pathways for educational equity, quality improvement, and pedagogical transformation. To foster cross-disciplinary collaboration among global scholars, educators, and technology experts, the 2027 2nd International Conference on AI in Education Technology and Applications (AIETA 2027) will bring together leading international experts to explore cutting-edge research, practical challenges, and future directions in AI-driven education.
AIETA 2027 aims to establish an open and inclusive global platform for dialogue, promoting collaborative innovation between AI technology and educational practice. Centered on the theme "Empowering Education with AI, Shaping the Future with Technology," the conference will address breakthroughs in AI-based educational theories, development of technological tools, ethical frameworks, and scalable application cases, contributing to the global digital transformation of education. Through interdisciplinary discussions, we seek to strengthen industry-academia partnerships and advance solutions for building a more efficient, equitable, and sustainable smart education ecosystem.
Full Paper
Submission Date
February
06
2027
Final Paper
Submission Date
February
26
2027
Registration
Deadline
March
16
2027
Conference
Dates
March
26-28
2027
☛ Call For Papers
☛ Submission
☛ Publication
The topics of interest for submission include, but are not limited to:
📚︎Track 1: Education Technology
Generative AI in Education: Implementation and Optimization; Algorithm Design and Improvement for Adaptive Learning Systems; Construction of Educational Knowledge Graphs and Intelligent Reasoning Techniques; AI-Powered Automated Assessment and Feedback Technologies; Multimodal Learning Analytics; Interaction Technologies and Behavioral Modeling for Educational Robots; Development of Virtual Reality (VR)/Augmented Reality (AR) Teaching Technologies; Educational Big Data Mining and Visualization Techniques; Natural Language Processing (NLP) Applications in Education; Federated Learning and Privacy Protection in Educational Data
📚︎Track 2: Education Applications
Practical Cases and Effectiveness Evaluation of AI in K-12 Education; Applications of Intelligent Tutoring Systems in Higher Education; Innovative Models of AI-Powered Vocational Education; AI Applications in Special Education; Research on Smart Educational Hardware; AI-Driven Language Learning; Exploration of Gamified Learning Integrated with AI; Large-Scale Applications of AI in Online Education Platforms; Intelligent Educational Systems Integration; Intelligent Tutoring Systems in Higher Education; Classroom Behavior Computer Vision Analysis; Smart Classroom IoT Systems and Digital Twins Technologies; Intelligent Assistive Tech for Special Education; Educational Robotics Control and Interaction
1. The submitted papers must not be under consideration elsewhere.
2. Please send the full paper (Word+PDF) to Submission System.
📤︎Submission System (CN)📤︎Submission System (EN)
3. Please submit the full paper, if both presentation and publication are needed.
4. Please submit the abstract only, if you just want to make presentations.
5. Download Templates:
6. Should you have any questions or need any materials in English, please contact us.
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
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.