AIESC 2027: The International Conference on Artificial Intelligence in Education and Smart Campus (AIESC 2027) Musashino University Ariake Campus Tokyo, Japan, April 2-4, 2027

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 jointly organized by Musashino University, Japan and The Chinese University of Hong Kong, China, co-organized by Yamagata University, Japan with technical support from Zhejiang University, China, De La Salle University Manila, Philippines, and Qtairo Inc., South Korea. It is sponsored by Beijing University of Posts and Telecommunications (China) with Conference Alert as the media partner.

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.

AIESC 2027 provides an interdisciplinary forum for researchers, educators, engineers, and industry professionals to explore human-centric intelligent systems for education and smart campus environments. The conference focuses on three interconnected areas: intelligent and adaptive AI for learning and teaching; human-machine and cyber-physical systems for smart campus environments; and trustworthy, responsible, and secure AI. Through keynote speeches, technical presentations, and thematic sessions, AIESC 2027 aims to foster interdisciplinary collaboration and advance human-centered intelligent systems that support the future of education and smart campuses.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. Submitted papers will be strictly reviewed by the technical program committee. Accepted papers after successful registration and presentation will be included in AIESC 2027 Conference Proceedings, and submitted for indexing by Ei Compendex and Scopus. The authors of the papers will be invited to participate in the AIESC to display their research results.

Submission Link:https://easychair.org/conferences/?conf=aiesc2027

Papers submitted to the conference should be in English, and at least 5 pages. An extra fee will be charged for pages exceeding 5. The organizing committee will confirm your submission and provide an article number within 2 working days after receiving your manuscript. After the submission, we will forward your paper to relevant experts for review based on its theme.

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.

For submissions intended for publication, please submit the full manuscript. Scholars are requested to prepare their manuscripts according to the provided template. All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtue of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.

Full Paper Template | Abstract Template

Important DatesImportant Dates

Paper Submission Deadline: October 20, 2026

Notification of Acceptance/Rejection: November 20, 2026

Early Bird Registration Deadline: December 20, 2026

More details: https://www.aiesc.tech/index.html

List of Topics

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
Multimodal Foundation Models for Educational Applications
AI Agents and Autonomous Learning Assistants
Multi-Agent Systems for Education
Retrieval-Augmented Generation (RAG) for Educational Applications
Prompt Engineering and AI-assisted Knowledge Creation
Educational Natural Language Processing
Multimodal Learning and Reasoning
Knowledge-Augmented and Retrieval-Based AI Systems
Explainable, Trustworthy and Responsible Generative AI
Evaluation and Benchmarking of Generative AI Systems
Human-AI Collaborative Learning Systems

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

Human-AI Interaction in Education
Human-Machine Interaction for Learning
Human-Centered Intelligent Educational Systems
Cognitive Computing for Education
Cognitive Modeling of Learning and Teaching
Human-AI Collaboration in Teaching and Learning
Intelligent Assistive and Companion Technologies
Affective Computing and Emotion-Aware Learning
Multimodal Human Behavior Understanding
User Modeling and Learner Modeling
Human-Machine System Modeling and Evaluation
Explainable and Interactive AI
Trustworthy Human-AI Collaboration
AI-assisted Teaching and Learning
Intelligent Learning Experience Design

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

Intelligent Adaptive Learning Systems
Learner Modeling and Cognitive Modeling for Adaptive Education
Multi-dimensional Student Learning Profile Modeling
Personalized Learning Path Planning
Intelligent Recommendation for Learning Resources
Adaptive Difficulty Modeling and Optimization
Intelligent Question Generation and Adaptive Assessment
Intelligent Identification of Learning Weaknesses
Personalized Feedback Generation
Adaptive Learning in Online and Blended Education
AI-based Differentiated and Individualized Instruction
Cognitive AI for Personalized Learning
Reinforcement Learning for Adaptive Education
Continual Learning for Personalized Educational Systems
Intelligent Tutoring Systems

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

Machine Learning for Educational Data Analytics
Deep Learning for Learning Analytics
Educational Data Mining
Multi-source Learning Behavior Modeling
Student Behavior Modeling and Prediction
Learning Pattern Recognition
Intelligent Identification and Prediction of Academic Risks
Early Warning Systems for Learning and Academic Performance
Intelligent Decision Support for Education
Explainable Machine Learning for Educational Applications
Causal Learning and Causal Inference in Education
Federated Learning for Educational Data
Privacy-Preserving Machine Learning
Intelligent Assessment and Evaluation
Dynamic Modeling of Learning Processes
Data-Driven Optimization of Teaching and Learning Systems

Track 5: Smart Campus Systems, IoT and Intelligent Infrastructure

Intelligent Smart Campus Systems
Internet of Things (IoT) for Smart Education
Intelligent Sensing and Context-Aware Computing
Cloud-Edge-Device Collaborative Intelligence
Edge AI for Smart Campus Applications
Intelligent Campus Data Infrastructure
Cyber-Physical Systems for Smart Campus
Intelligent Resource Allocation and Scheduling
Intelligent Computing Resource Management
Autonomous Campus Service Systems
Intelligent Campus Network Management
AI-enabled Infrastructure Monitoring
Intelligent Building and Energy Management
Context-Aware Smart Learning Environments
IoT-enabled Learning Environments
Intelligent Campus Operations and Services

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

Digital Twin for Smart Campus Systems
Digital Twin Modeling and Simulation
Real-Time Digital Twin Synchronization
Cyber-Physical Learning Systems
Embodied AI for Education
Intelligent Robots for Education
Human-Robot Interaction in Learning Environments
Autonomous Learning Agents and Robotic Assistants
Virtual and Augmented Reality for Intelligent Learning
Immersive Learning Environments
Multimodal Perception for Smart Learning
Intelligent Virtual Laboratories
Digital Twin-based Campus Management
Simulation and Optimization of Smart Campus Systems
Multi-Agent Collaboration in Virtual Learning Environments

Track 7: Campus Intelligent Management and Security Technology

AI-based Intelligent Recognition and Monitoring of Campus Personnel and Vehicles
Intelligent Early Warning and Detection of Abnormal Campus Behaviors
Intelligent Inspection, Operation and Maintenance of Campus Facilities
Intelligent Optimization of Educational Scheduling and Classroom Resource Allocation
Fine-grained Analysis of Student Campus Behaviors
Intelligent Campus Office Automation
Big Data Analytics and Risk Prediction for Campus Security Management

Track 8: Trustworthy AI, Cybernetics, Security and Emerging Intelligent Technologies

Trustworthy and Responsible AI
Explainable AI
Fairness and Bias Mitigation
AI Safety and Robustness
Adversarial Machine Learning
Security of AI-enabled Educational Systems
Secure and Trustworthy Smart Campus Systems
AI Model Vulnerability Detection
Cybersecurity for Intelligent Learning Systems
AI-based Anomaly Detection
Risk-Aware Intelligent Systems
Emerging Cybernetic Systems

Conference Committees

Conference General Chairs

Prof. Benjamin W. Wah, The Chinese University of Hong Kong, China

Prof. Ljiljana Trajkovic, Simon Fraser University, Canada

Prof. Connie Chang, Musashino University, Japan

Prof. Abtar Kaur, Asia Pacific University of Technology & Innovation (APU), Malaysia

Advisory Committee Chairs
Prof. Ryan Baker, The University of Pennsylvania, USA

Prof. Sangmin-Michelle Lee, Kyung Hee University, South Korea

Prof. Seungjin Choi, aSSIST University, South Korea

Local Organizing Chair
Prof. Hiroko Kanoh, Yamagata University, Japan

Steering Committee Chairs

Assoc. Prof. Cheng Kwok Shing Gary, The Education University of Hong Kong, China

Assoc. Prof. Fan Ouyang, Zhejiang University, China

Prof. Liang Zhao, Shenyang Aerospace University, China

Program Committee Chairs

Prof. Jie Hu, Zhejiang University, China

Prof. Demetrios Sampson, University of Piraeus, Greece

Prof. Rustam Shadiev, Zhejiang University, China

Assoc. Prof. Andy Nguyen, University of Oulu, Finland

Program Committee Co-Chairs

Senior Researcher Dr. Feifei Han, Griffith University, Australia

Prof. Delfín Ortega-Sánchez, University of Burgos, Spain

Prof. Ildar Z. Batyrshin, Instituto Politécnico Nacional (IPN), Mexio

Prof. Fahim Khan, Toyo University, Japan

Industrial Liaison Chair

Dr. Changsoo Je, Qtairo Inc., South Korea

Publication Chairs

Assoc. Prof. Zigang Ge, Beijing University of Posts and Telecommunications, China

Assoc. Prof. Marc Romero, Universitat Oberta de Catalunya, Spain

Publicity Chairs

Distinguished Prof. Maricar Sison Prudente, De La Salle University Manila, Philippines

Assoc. Prof. Constantine Andoniou, Abu Dhabi University, UAE

Prof. Anabelie V. Valdez, Mindanao State University, Philippines

Assoc. Prof. Sarimah Shamsudin, Universiti Teknologi Malaysia, Malaysia

Regional Chair
Prof. Socorro E. Aguja, De La Salle Araneta University Malabon, Philippines

Senior Program Committee Member (Higher Education)
Prof. Dagmar Archan, DCAMPUS 02 University of Applied Sciences, Austria

Senior Program Committee Member (K-12 Education)
Dr. Genevieve A. Pillar, De La Salle Santiago Zobel School, Muntinlupa, Philippines (Chair, Applied Sciences)

Dr. Jeanette B. Torrato, De La Salle Santiago Zobel School, Muntinlupa, Philippines (Director, Academic Services)

Technical Program Committee

Prof. Keiichi Takahashi, Kindai University, Japan

Prof. Vishalache Balakrishnan, Universisty of Malaya, Malaysia

Prof. Hasegawa Shinobu, Japan Advanced Institute of Science and Technology, Japan

Prof. Addisson Salazar, Universidad Politécnica de Valencia, Spain

Prof. Bob Barrett, American Public University, USA

Assoc. Prof. Irene L. Balmes, NU-Lipa Philippines

Prof. Yen-Ting Lin, National Pingtung University

Dr. Nurulhuda Md Hassan, Universiti Pendidikan Sultan Idris, Malaysia

Dr. Brian M. McSkimming, The University of Oklahoma, USA

Asst. Prof. João Piedade, University of Lisbon, Portugal

Dr. Wanwan Li, University of South Florida, United States

Asst. Prof. Zarinah Hamid, International Islamic University Malaysia, Malaysia

Lecturer Dongkun Han, The Chinese University of Hong Kong, China

Prof. Victor K. Y. Chan, Macao Polytechnic University, China

Lecture. Islamiani Safitri, Universitas Labuhanbatu, Indonesia

Assoc. Prof. Aryusmar, Binus University, Indonesia

Dr. Maritza Arones-Mayurí, San Luis Gonzaga National University of Ica, Perú

Dr. Felicisimo Enriquez Santiago, Southern Luzon State University, Philippines

Dr. Ying Zhang, East China Normal University, China

Asst. Prof. Aloysius Yapp, Universiti Tunku Abdul Rahman, Malaysia

Senior Lecturer Dr. Mariam Mohamad, Universiti Sains Malaysia, Malaysia

Senior Lecturer Dr. Noor Hasimah Ibrahim Teo, Universiti Teknologi MARA, Malaysia

Asst. Prof. Alessio Faccia, University of Birmingham Dubai, UAE

Prof. Huiwen Huang, Shaoguan University, China

Asst. Prof. Hilary Ng, Hong Kong Metropolitan University, China

Dr. Hadijah Ahmad, Universiti Malaysia Pahang Al-sultan Abdullah, Malaysia

Prof. Ta-Cheng Chen, National Formosa University

Prof. Larcyneil Pascual,The University of Mindanao, Philippines

Prof. Ande Luna, National University, Philippines

Dr. Rebecca Camilleri, University of Malta, Malta

Prof. Adérito Fernandes Marcos, University of Saint Joseph, China

Dr. Siu-Lun Lee, The Chinese University of Hong Kong, China

Assoc. Prof. Bheema Thiagarajan Lokesh, Singapore University of Social Sciences, Singapore

Dr. Poonam Shripad Vatharkar, Savitribai Phule Pune University, India

Prof. Joseph Roberson, Tshwane University of Technology, South Africa

Dr. Liqiao Nong, Guangxi Polytechnic of Construction, China

Prof. Andrea Fiorucci, University of Salento, Italy

Senior Lecturer Johnalyn L. Figueras, Cebu Institute of Technology-University, Philippines

Asst. Prof. Chao-Feng Lai, Asia University

Assoc. Prof. James Tan Swee Chuan, Singapore University of Social Sciences, Singapore

Asst. Prof. Wanxin Yan, Tohoku University, Japan

Assoc. Prof. Zhu Yongqing, Singapore University of Social Sciences, Singapore

Keynote Speakers

Prof. Ryan Baker, The University of Pennsylvania, USA

Prof. Benjamin W. Wah, The Chinese University of Hong Kong, China

Prof. Maiga Chang, Athabasca University, Canada

Prof. Sangmin-Michelle Lee, Kyung Hee University, South Korea

Publication

AIESC 2027 proceedings will be published in the conference proceedings, which will be indexed by Ei Compendex and Scopus.

Venue

Musashino University Ariake Campus

Address: 3-3-3 Ariake, Koto-ku, Tokyo 135-8181, Japan

Contact

Please feel free to contact us: aiesc.conference@gmail.com

Conference Secretary

Mia Sato

Organized by

Musashino University, Japan and The Chinese University of Hong Kong, China,

Co-Organized by

Yamagata University, Japan and Asia Pacific University of Technology & Innovation (APU), Malaysia

Technical Support by

Zhejiang University, China, De La Salle University Manila, Philippines, Qtairo Inc., South Korea

Sponsored by

Beijing University of Posts and Telecommunications, China