
WELCOME TO
EFAI 2027
Malaysia / March 26-28, 2027
2027 International Conference on Educational Futures and Artificial Intelligence
Countdown to the Conference:
In an era where artificial intelligence is rapidly reshaping the global education ecosystem, the future of education is entering an unprecedented period of transformation. The 2027 International Conference on Educational Futures and Artificial Intelligence (EFAI 2027) will be held in Malaysia from March 26 to 28, 2027, aiming to build an international platform for exchange that focuses on educational innovation and the integration of AI, and to explore how intelligent technologies can empower the future of teaching, learning, and educational management.
EFAI 2027 will bring together experts, scholars, and practitioners from universities, research institutions, the education sector, and the field of artificial intelligence to engage in in-depth discussions on cutting-edge topics such as intelligent education, learning analytics, educational technology, digital teaching, and other related interdisciplinary research directions. The conference will not only focus on the latest advances in theoretical research, but also emphasize the real-world application and innovative practice of artificial intelligence in educational settings, with the goal of promoting comprehensive improvements in educational models, teaching methods, and learning experiences.
Whether you are a researcher dedicated to exploring the future of education, or an educator and industry representative seeking intelligent transformation solutions, EFAI 2027 will provide you with valuable academic insights, inspiration from frontier technologies, and high-quality opportunities for exchange and collaboration. We warmly welcome you to Malaysia to witness and take part in this new era of deep integration between education and artificial intelligence.
Submission Deadline
January 26, 2027
Notification Date
February 26, 2027
Final Paper Submission Deadline
March 13, 2027
Registration Deadline
March 19, 2027
Conference Dates
March 26–28, 2027
Indexing
Ei Compendex, Scopus
☛ Call For Papers
☛ Submission
☛ Publication
The topics of interest for submission include, but are not limited to:
📚︎ Track 1: Artificial Intelligence and the Future of Learning
Generative AI for Education; Large Language Models in Learning; Personalized and Adaptive Learning; Intelligent Tutoring Systems; AI-assisted Teaching and Learning
📊︎ Track 2: Intelligent Educational Technologies and Digital Learning Environments
Learning Analytics; Educational Data Mining; Smart Learning Platforms; Virtual and Augmented Reality for Education; Immersive Learning Environments; Digital Campus and Smart Education Systems
💻︎ Track 3: Human-AI Interaction and Emerging Educational Paradigms
Human-AI Collaboration in Education; AI Literacy and Competency Development; AI-assisted Creativity and Knowledge Discovery; Interactive Learning Technologies; Social Robots and AI Tutors; Future Classroom Design
🤖︎Track 4: Educational Innovation, Policy and Ethics in the AI Era
AI Ethics in Education; Responsible AI; Digital Transformation of Education; Future Higher Education; AI Governance and Educational Policy; Equity and Accessibility in AI-powered Education
1. The submitted papers must not be under consideration elsewhere.
2. Please send the full paper (Word+PDF) to Submission System.
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 and 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.