About AIFE 2027
2027 4th International Conference on Artificial Intelligence and Future Education (AIFE 2027)
June 25-27, 2027 | Tokyo, Japan
Artificial intelligence is fundamentally reshaping the landscape of education, from personalized learning pathways and intelligent tutoring systems to automated assessment and data-driven instructional design. As AI technologies become increasingly integrated into classrooms, campuses, and online learning platforms, educators and researchers face critical questions about pedagogical transformation, educational equity, and the evolving role of human teachers in an AI-enhanced environment.
2027 4th International Conference on Artificial Intelligence and Future Education (AIFE 2027) will be held in Tokyo, Japan, from June 25 to 27, 2027. Building on the success of previous editions, AIFE 2027 serves as a premier international forum for researchers, educators, policymakers, and industry professionals to explore the intersection of artificial intelligence and educational innovation.
The conference aims to advance theoretical and practical understanding of AI applications in education, promote interdisciplinary collaboration, and shape future-ready educational frameworks that harness AI for inclusive and effective learning. Topics of interest include adaptive learning, intelligent tutoring systems, AI-driven curriculum design, educational data mining, learning analytics, and ethical considerations in AI education.
We invite scholars and practitioners worldwide to join us in Tokyo to shape the future of education through artificial intelligence.
Important Dates
Submission Deadline: February 3, 2027
Notification Date: March 10, 2027
Registration Deadline: March 25, 2027
Conference Dates: June 25-27, 2027
Countdown to the Conference:
Conference Topics
The topics of interest for submission include, but are not limited to:
📚︎Track 1: Learning Analytics and Educational Data Mining
Data-Informed Learning Theories, Learning and Teaching Process Mining, Emotional Learning Analysis, Learner Engagement and Involvement Quantification and Analysis, Learning Early Warning and Learning Intervention, Design and Adoption of Learning Analytics Tools, Adaptive Learning Decision Support and Feedback, Multivariate and Multimodal Learning Assessment, Data-Driven Performance Prediction, Discourse Analysis in Interactive Learning Environments, Collaborative Learning Analytics, Social and Epistemic Network Analysis, Ethical Issues in Learning Analytics.
📚︎Track 2: Technology-Enhanced Learning
Designing Interactive Virtual Reality (VR) Simulations, Online/Offline Course Design, Social Media Integration in Instruction, Digital Resources and Tools for Instruction, Interactive Simulations for Concept Teaching in STEM Education, Personalizing Feedback to Support Student Learning, Technology-Enhanced Classroom Management Strategies, Digital Attendance Tracking and Student Progress Monitoring, Innovations in Technology Integration for Instruction, Interactive Whiteboards and Multimedia Presentations, Flipped Classroom Models.
📚︎Track 3: Artificial Intelligence Enhanced Special Education
AI-based Assistive Technology for Special Children, AI-Powered Intervention Technology for Children with ASD, Intelligent Behavior Sensing for Special Children, AI-Assisted Assessment of Children with ASD, Brain Source Reconstruction for Mental Disorders, EEG Analysis for Special Children, Intelligent Screening for Children with ASD, Personalized Learning Techniques for Special Children, Human-Computer Interaction Technology for Special Education, Student Support Technology for Special Children, Intelligent Tutoring Systems for Special Education.
📚︎Track 4: Artificial Intelligence Applications and Innovations in Education
Affective Computing in Education, Intelligent Recognition Algorithms, Automated Grading Systems, Adaptive Testing Using AI Algorithms, Natural Language Processing and Intelligent Marking, Intelligent Question Bank Management, Intelligent Tutoring Systems, Recommendation Systems, Human-AI Hybrid Systems for Learning, Educational Process Visualization and Dashboard, AI Ethical, Privacy and Security Challenges in Education, Integrating Robotics and Coding in STEM Instruction.
Publication
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.
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