Full Name: 2026 the 9th International Conference on Educational Technology Management (ICETM 2026)
Abbreviation: ICETM 2026
Venue: Shenzhen, China
Time: October 16-18, 2026
Sponsored by South University of Science and Technology, China
Hosted by SUSTech Center for Future Education Research, China
Organizing Committee
Conference Chairs
Jianhua Zhao, Southern University of Science and Technology, China
Chee-Kit Looi, The Education University of Hong Kong, Hong Kong, China & National Institute of Education, Nanyang Technological University, Singapore
Harrison Hao Yang, State University of New York at Oswego, USA
Conference Vice-chairs
Longkai Wu, Central China Normal University, China
Shuai Liu (IEEE Senior Member), Hunan Normal University, China
Program Chairs
Gautam Srivastava (IEEE Senior Member), Brandon University, Canada
James Slotta, University of Toronto, Canada
Song Tian, Southern University of Science and Technology, China
Zhongfen Hu, South China Normal University, China
Yanlin Zheng, Northeast Normal University, China
Hongquan Bai, Nanjing Normal University, China
Yonghai Zhu, Capital Normal University, China
Program Co-chairs
Hang Hu, Southwest University, China
Xianmin Yang, Jiangsu Normal University, China
Xiangyang He, Hunan First Normal University, China
Guanliang Chen (IEEE Member), Beijing Normal University, China
Steering Committees
Yuxia Du, Guangzhou University, China
Zehui Zhan, South China Normal University, China
Publication Chairs
Carol Chan, Southern University of Science and Technology, China; University of Hong Kong, Hong Kong, China
Qi Hao, Southern University of Science and Technology, China
Yang Zhao, Yunnan Normal University, China
Ting You, Central China Normal University, China
Xieling Chen (IEEE Member), Guangzhou University, China
Publicity Chairs
Jan van Aalst, University of Hong Kong, Hong Kong, China
Xiang Feng, East China Normal University, China
Yurong Guo, Southern University of Science and Technology, China
Su Mu, South China Normal University, China
Shaodong Peng, Hunan Normal University, China
Qi Zhang, Huaibei Normal University, China
Qinglong Zhan, Tianjin University of Technology and Education, China
Regional Chairs
Martha Nunez, Tecnologico de Monterrey, Mexico
Lei Shi, Newcastle University, UK
Local Organizing Chairs
Xu Liu, Southern University of Science and Technology, China
Jing Kong, Southern University of Science and Technology, China
Local Committees
Yuan Gao, Southern University of Science and Technology, China
Pengcheng An, Southern University of Science and Technology, China
Yang Xu, Southern University of Science and Technology, China
For more committees, please visit via: https://icetm.org/com.html.
Publication:
Submitted papers will be peer reviewed by program committees and technical committee, and accepted papers will be published into conference proceedings by IEEE after registration and presentation. The proceedings will be submitted for inclusion into IEEE Xplore and indexed by Ei Compendex & Scopus.
ICETM 2026 has been listed as an IEEE conference:
Publication history:
ICETM 2025 Proceedings (ISBN: 979-8-3315-7646-2) | IEEE Xplore | Ei Compendex | Scopus
ICETM 2024 Proceedings (ISBN: 979-8-4007-1746-8) | ACM Digital Library | Ei Compendex | Scopus
ICETM 2023 Proceedings (ISBN: 979-8-4007-1667-6) | ACM Digital Library | Ei Compendex | Scopus
ICETM 2022 Proceedings (ISBN: 978-1-4503-9801-5) | ACM Digital Library | Ei Compendex | Scopus
ICETM 2021 Proceedings (ISBN: 978-1-4503-8580-0) | ACM Digital Library | Ei Compendex | Scopus
ICETM 2020 Proceedings (ISBN: 978-1-4503-8875-7) | ACM Digital Library | Ei Compendex | Scopus
ICETM 2019 Proceedings (ISBN: 978-1-4503-7629-7) | ACM Digital Library | Ei Compendex | Scopus
ICETM 2018 Proceedings (ISBN: 978-1-4503-6630-4) | ACM Digital Library | Ei Compendex | Scopus
Topics (Topics of interest for submission include, but are not limited to:)
Track 1: AI-Driven Innovations in Education
Adaptive learning systems powered by AI
Intelligent tutoring systems (ITS) and personalized learning
Natural language processing (NLP) for educational applications
AI-based automated assessment and feedback
Ethical and privacy issues in AI for education
Track 2: Emerging Technologies in Education
Immersive learning with VR/AR/MR
Blockchain for credentialing and educational management
IoT (Internet of Things) in smart classrooms
Robotics and human-computer interaction in education
Future trends in EdTech (e.g., generative AI, metaverse)
Track 3: Learning Analytics and Big Data
Predictive analytics for student performance and dropout prevention
Learning dashboards and visualization tools
Data-driven decision-making in educational institutions
Privacy and security challenges in educational data
Social network analysis in collaborative learning
Track 4: Digital Pedagogy and Curriculum Design
Blended and hybrid learning models
Gamification and game-based learning strategies
Micro-credentials and competency-based education
Design thinking for technology-enhanced learning
Inclusive and accessible digital learning environments
Track 5: Educational Technology Policy and Leadership
Institutional strategies for EdTech adoption
Digital equity and bridging the digital divide
Policy frameworks for AI in education
Faculty training and professional development in EdTech
Cost-benefit analysis of educational technology investments
Track 6: Generative AI and The Innovative Development of Digital Textbooks
Generative AI transforms the construction of digital textbooks
Transforms teaching models
Transforms the cultivation of innovative talents
Prevents potential risks of digital textbooks
Construction of a support service system for the application of digital textbooks
Special Session 1: AI-Driven Personalized Smart Education: Technology Integration and Innovative Practices
AI-driven Learner Profiles and Personalized Learning Pathways
Generative AI and Intelligent Educational Resource Development
AI and Multimodal Learning Analytics for Innovative Feedback
Building and Exploring AI-Empowered Smart Learning Ecosystems
The Technology and Application Scenarios of AI Empowered Education
Special Education and Personalized Teaching Empowered by AI
Special Session 2: Dual-dimensional Innovation in STEM Education: Digital Transformation & Human-AI Collaborative Teaching
Intelligent Generation and Collaborative Governance of Interdisciplinary STEM Resources
Human-AI Collaborative Reconstruction of Inquiry-Based STEM Teaching Models
Data-Driven STEM Competency Modeling and Adaptive Evaluation
AI-Empowered Innovation in Virtual-Physical Practice Environments
Digital Mechanisms for Equity Assurance in STEM Education
Multi-Stakeholder Synergy in STEM Innovation Ecosystems
Special Session 3: Digital Intelligence–Driven Educational Transformation: Learning Analytics and Pedagogical Innovation
Data-Driven Learning Behavior Analysis and Learning Outcome Assessment
Multimodal Learning Data Fusion and Intelligent Diagnostic Feedback
Learning Analytics–Supported Intelligent Teaching Models and Classroom Innovation
Educational Digital Transformation and Smart Campus Development
Core Educational AI Technologies and Representative Teaching Applications
Applications of Generative AI in Instructional Resource Development and Teaching Support
Digital Intelligence–Driven Educational Assessment Reform and Precision Teaching Interventions
Special Session 4: Gamification of Education and Game-Based Learning
Gamification and Game-Based Learning as Applied Educational Discourses of Game Studies
The Use of Classical (based on the principles of extrinsic motivation) and the Latest (based on the principles of intrinsic motivation) Models of Gamification in Education
AI-Empowered Innovation in Gamification and Game-Based Learning
Integration of Immersive Technologies (VR/AR) into Game-Based Learning Environments
Game Design Principles: Mechanics, Dynamics, Aesthetics, and Storytelling in Learning Contexts
Adaptive Gamification: Personalizing Learning Paths Based on Player Behavior and Data
Assessment and Evaluation of Learning Outcomes in Game-Based Contexts
Ethical Issues of Gamification and Game-Based Learning
Special Session 5: Digital Intelligence Technologies Empowering Teacher Professional Development
Theoretical and Practical Approaches to Empowering High-Quality Education through the National Smart Education Platform
Digital and intelligent technologies empower teaching innovation
Innovation in New Teaching Models for Human-Machine Collaboration
Digital Intelligence Education Empowers Technology Education
Learning Interactions and User Engagement in the Context of Digital Intelligence
Smart Education Governance and Regional Practices
Digital and intelligent technologies empower healthy campuses
Special Session 6: Generative AI-Empowered Visual Instructional Design: From Multimodal Resource Generation to Educational Agent Collaboration
Digital Empowerment in Humanities Education: Applications of AI in Classical Poetry, Educational Picture Books, and the Visualization of Classic Literature
Bridging the Abstraction Gap: Scientific Illustration and Infographic Design in STEM Education via Generative AI
Education-Oriented Image Design: AI Agent Development and Human-AI Collaborative Workflows
Cognitive Mechanisms and Theoretical Construction of GenAI-Empowered Visual Instruction
Interdisciplinary Project-Based Learning and Cross-Cultural Educational Innovation Based on AIGC Image Generation
Evolution of Teachers' Digital Literacy in the AI Era: Visual Instruction and Creative Practice from a Human-AI Collaborative Perspective
Ethical Challenges in GenAI Educational Visualization: Scientific Boundaries, Copyright Definition, and Algorithmic Bias
Special Session 7: Human-AI Collaboration with Agent Support: Personalized Education and Intelligent Practice Innovation
Theoretical Framework and Collaborative Mechanism of Educational AI Agents Supporting Human-AI Symbiosis
Personalized Learning Regulation and Path Optimization Driven by Autonomous Educational Agents
Human-AI Collaborative Teaching Design and Resource Construction Empowered by Generative Agents
Multi-modal Collaborative Analytics and Adaptive Feedback Based on Agent-Enhanced Learning Data
Agent-Supported Human-AI Collaborative Practice in Educational Metaverse and Embodied Intelligent Education
Special Session 8: Learning Analysis and Multi-Dimensional Data-Driven Educational Evaluation
Multimodal Learning Analysis and Evaluation Insights
Student Comprehensive Quality Evaluation Enabled by Generative AI
Learner Trait Mining and Personalized Learning Support
Learning Interaction Analysis in a Human-Machine Collaborative Environment
Data-Driven Teaching Decision-Making and Evaluation Result Application
Design and Methodological Innovation of Process-Based Evaluation Tools
Educational Evaluation Ethics and Teachers' Digital Literacy
Submission Instructions
1. English is the official language. Paper should be written and presented only in English.
2. A regular registration can cover a paper with 6 pages and more pages will be charged at 60 USD / 400 RMB / Page.
3. If you want to make a presentation and publish your paper, submit a full paper (5-6 Pages, two column); just want to make a presentation, abstract (200-400 words) is enough.
General Program
The conference final program can be available in the late of September 2026. For your convenience, a general schedule agenda is given below.
Day 1 - October 16, 2026
-10:00-17:00 | Registration & Materials Collection
-14:00-17:00 | Campus Tour
Day 2 - October 17, 2026
-09:00-12:00 | Opening Remark & Keynote Speeches
-12:00-13:30 | Lunch
-13:30-18:00 | Invited Speeches & Chinese Forum & Oral Sessions & Poster Sessions
-18:30-20:00 | Award Ceremony & Dinner Banquet
Day 3 - October 18, 2026
-09:00-12:00 | Invited Speeches & Oral Sessions
-13:30-19:00 | City Tour
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