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 Generative AI Empowers Education, Intelligent Technology Builds Future Smart Campus.
AIESC 2027 is jointly organized by Musashino University (Japan) and The Chinese University of Hong Kong (China), co-organized by Yamagata University (Japan). The conference receives technical support from Zhejiang University (China), De La Salle University Manila (Philippines) and Beijing University of Posts and Telecommunications (China). It is sponsored by Qtairo Inc. (South Korea), with Conference Alert as the media partner.
Driven by the rapid iteration of large language models (LLMs) and generative AI technologies, global digital transformation is profoundly reshaping modern education and smart campus construction. AIESC 2027 serves as an international academic platform for scholars, educators, researchers and industry experts to exchange cutting-edge research findings and practical solutions. The conference focuses on core technologies of LLMs and generative AI in education, intelligent adaptive learning and personalized teaching technologies, digital infrastructure and technical architecture for smart campuses, etc.
Supported by keynote speeches, paper presentations and thematic forums, the conference facilitates cross-disciplinary collaboration, addresses key technical challenges in AI-enabled educational innovation and campus digital transformation, and promotes global academic cooperation. It aims to advance the high-quality development of future-oriented intelligent education systems and comprehensive smart campus ecosystems.
Following peer review, accepted papers with completed registration and presentation will be included in the AIESC 2027 Conference Proceedings.
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.
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Topics of interest include, but are not limited to:
Multi-dimensional AI algorithm-based student learning profile construction
Intelligent personalized learning path planning
Core model iteration of adaptive learning systems
Construction of full-coverage IoT perception networks
Cloud-edge integrated campus infrastructure
Unified aggregation of massive campus data
Intelligent scheduling of computing resources
High-precision modeling of digital twin campuses
Real-time data synchronization and dynamic simulation
Immersive virtual campus construction
Virtual classrooms and laboratories development
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