About AIESC 2027 (Hybrid Conference)

The International Conference on Artificial Intelligence in Education and Smart Campus (AIESC 2027) will be held at Musashino University Ariake Campus, Tokyo, Japan, from April 02-04, 2027, under the theme Human-Centric Intelligence for AI-Enabled Education and Smart Campus.

AIESC 2027 is organized by Musashino University (Japan) and The Chinese University of Hong Kong (China), and co-organized by Yamagata University (Japan). The conference receives support from Zhejiang University (China) and De La Salle University Manila (Philippines). It is co-sponsored by IEEE, IEEE Systems, Man, and Cybernetics Society, Beijing University of Posts and Telecommunications (China) and Qtairo Inc. (South Korea) with Digital and Conference Alert as the media partners.

The rapid development of large language models (LLMs), generative AI, intelligent agents, and other emerging AI technologies is transforming the way people learn, teach, interact, and manage educational environments. At the same time, advances in intelligent systems, Internet of Things (IoT), digital twins, edge AI, cyber-physical systems, and human-machine interaction are accelerating the digital transformation of smart campuses. These developments call for new approaches that place human needs, capabilities, collaboration, trust, and well-being at the center of intelligent education and campus innovation.

Featuring keynote speeches, invited sessions, industry talks, AI workshops, teacher education forums, “Face-to-Face with Editors” sessions, technical presentations, and special sessions, AIESC 2027 aims to foster interdisciplinary collaboration, facilitate knowledge exchange, and advance human-centered intelligent systems that will shape the future of education and smart campus environments.

The conference is expected to attract leading experts, scholars, and researchers in education from approximately 30 countries and regions around the world.

Proceedings Publication

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Accepted and registered full papers will be published in IEEE Xplore and submitted for indexing in Ei Compendex and Scopus.

AIESC 2027 has been included in the IEEE Conferences list: Click

Submission Guidelines

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  • Formatting of the paper must be done using the pre‑defined MS‑Word styles in the template, rather than manually.
  • Please ensure that all template text is removed from your conference paper prior to submission.
Submit your abstract!

If you would like to take part in the conference, and you have experiences or projects to present, we invite you to submit your abstract proposal for AIESC 2027. Due to it being a hybrid conference, you can choose whether to submit it as an in‑person presentation or a virtual one. Abstracts should be within the scope of the topic areas listed in the section topics.

Templates Download:

Important Dates

October 20, 2026
Paper Submission Deadline
November 20, 2026
Notification of Acceptance/Rejection
December  20, 2026
Early Bird Registration Deadline

Call for Papers

Topics of interest include, but are not limited to:

Track 1: Generative AI, Foundation Models and Intelligent Learning Systems

Large Language Models (LLMs) and Foundation Models for Education
Generative AI-enabled Intelligent Learning Systems
AI Agents and Autonomous Learning Assistants

Track 2: Human-Centered AI and Human-Machine Systems in Education

Human-AI Interaction in Education
Human-Machine Interaction for Learning
Cognitive Computing for Education
Intelligent Assistive and Companion Technologies

Track 3: Intelligent Adaptive Learning, Cognitive Systems and Personalized Education

Intelligent Adaptive Learning Systems
Learner Modeling and Cognitive Modeling for Adaptive Education
Intelligent Recommendation for Learning Resources
Adaptive Learning in Online and Blended Education

Track 4: Educational Data Intelligence, Machine Learning and Intelligent Decision-Making

Machine Learning for Educational Data Analytics
Deep Learning for Learning Analytics
Multi-source Learning Behavior Modeling
Intelligent Decision Support for Education

Track 5: Smart Campus Systems, IoT and Intelligent Infrastructure

Intelligent Smart Campus Systems
Intelligent Sensing and Context-Aware Computing
Edge AI for Smart Campus Applications
Cyber-Physical Systems for Smart Campus

Track 6: Digital Twins, Embodied AI and Cyber-Physical Learning Environments

Digital Twin for Smart Campus Systems
Digital Twin Modeling and Simulation
Embodied AI for Education
Intelligent Robots for Education

Scenery of Tokyo

Tokyo Tower
Senso-ji Temple
Shibuya Crossing
Tokyo Skytree
Meiji Shrine
Odaiba Seaside Park
Ueno Park
Rainbow Bridge

All scenic images are for conference academic display only. Copyright belongs to the original owners.

Organizers

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Co‑Organizer

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Co-Sponsors

Supporters

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Media Partners