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AIESC 2027 : The International Conference on Artificial Intelligence in Education and Smart Campus | |||||||||||||||
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Call For Papers | |||||||||||||||
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Conference Name: The International Conference on Artificial Intelligence in Education and Smart Campus (AIESC 2027)
Place: Musashino University Ariake Campus, Tokyo, Japan, April 2-4, 2027 Conference Website: https://www.aiesc.tech/ Conference Flyer: https://www.aiesc.tech/AIESC2027.pdf 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. *Publication: Accepted and registered full papers will be published in IEEE Xplore and submitted for indexing in Ei Compendex and Scopus. *Special Issues: •MDPI Digital Indexing: Scopus, Ei Compendex, EBSCO, and other databases. Journal Rank: CiteScore - Q1 •MDPI Computers Indexing: Scopus, ESCI (Web of Science), dblp, Inspec, Ei Compendex, and other databases Journal Rank: JCR - Q2; CiteScore - Q1; Impact Factor: 5.2 *Submission Guideline: Full Papers: Your manuscript accepted by AIESC 2027 will be published and you can deliver a paper presentation on AIESC 2027, orally or poster presentation. You must submit a Full-length Manuscript for review before the submission deadline. Abstract Submission: You can deliver a presentation on AIESC 2027, but the presented manuscript will not be published. The abstract is necessary to submit. Submission link: https://easychair.org/conferences/?conf=aiesc2027 *Important Dates: Paper Submission Deadline: October 20, 2026 Notification of Acceptance/Rejection: November 20, 2026 Early Bird Registration Deadline: December 20, 2026 *Call for Papers: Topics of interest for submission include, but are not limited to: Track 1: Generative AI, Foundation Models and Intelligent Learning Systems Track 2: Human-Centered AI and Human-Machine Systems in Education Track 3: Intelligent Adaptive Learning, Cognitive Systems and Personalized Education Track 4: Educational Data Intelligence, Machine Learning and Intelligent Decision-Making Track 5: Smart Campus Systems, IoT and Intelligent Infrastructure Track 6: Digital Twins, Embodied AI and Cyber-Physical Learning Environments Track 7: Campus Intelligent Management and Security Technology Track 8: Trustworthy AI, Cybernetics, Security and Emerging Intelligent Technologies *Conference Speakers Prof. Yasushi Asami, The University of Tokyo, Japan Executive Director and Vice President, The University of Tokyo; Director of the Center for Research and Development of Higher Education Prof. Ryan Baker, The University of Pennsylvania, USA Director of the Penn Center for Learning Analytics; Co-Director of the JeepyTA Learning Platform Prof. Benjamin W. Wah, The Chinese University of Hong Kong, China IEEE, ACM Fellow; Chair of the INNO Hong Kong Steering Committee Prof. Maiga Chang, Athabasca University, Canada Associate Dean, Research & Innovation at Faculty of Science and Technology; Vice President of International Association of Smart Learning Environments (IASLE) and Vice Chair of IEEE Northern Canada Section Prof. Sangmin-Michelle Lee, Kyung Hee University, South Korea Associate editor for Language Learning & Technology, Humanities and Social Sciences Communications, and JALT-CALL *Contact: For more details, please feel free to contact Mia Sato: aiesc.conference@gmail.com |
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