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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. 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. *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 Abstract Submission: You can deliver a presentation on AIESC 2027, but the presented manuscript will not be published.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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