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), De La Salle University Manila (Philippines), Universiti Teknologi MARA (Malaysia), College of Computer Science and Technology, Zhejiang University of Technology (China) and Duy Tan University (Vietnam). 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 MDPI Digital, MDPI Computers 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, themed panel discussion, flash poster 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.

Conference Highlights

Editors’ Dialogue Teacher Education Forum Panel Discussions Flash Posters Special Sessions Industry Speeches Special Issues

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 and Foundation Models in Education

Large Language Models (LLMs) and Foundation Models for Education
Generative AI Applications in Teaching and Learning
AI Agents and Intelligent Educational Assistants

Track 2: Intelligent Learning Systems and Personalized Education

Intelligent Tutoring Systems
Adaptive and Personalized Learning Systems
Learner Modeling and Cognitive Modeling
Personalized Learning Path Planning and Recommendation

Track 3: Digital Education and Technology-Enhanced Learning

Digital Learning and Online Education
Blended and Hybrid Learning
Technology-Enhanced Learning and Digital Pedagogy
Learning Management Systems and Digital Learning Platforms

Track 4: Human-AI Interaction and Intelligent Educational Technologies

Human-AI Interaction and Collaboration in Education
AI-Assisted Instructional Systems and Design
AI Literacy Assessment and Modeling
Intelligent Technologies for Teacher Training

Track 5: Smart Campus Systems and Intelligent Infrastructure

AI-Enabled Smart Campus Systems
Intelligent Sensing and Context-Aware Computing
Cloud-Edge-Device Collaborative Intelligence
Edge AI and Intelligent Campus Infrastructure

Track 6: Digital Twins, Robotics, and Immersive Learning Technologies

Digital Twins for Smart Campus Systems
Digital Twin Modeling, Simulation, and Optimization
Embodied AI and Robotics in Education
Intelligent Educational Robots and Robotic Assistants

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

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