Description

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.

Call For Papers

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

ICETM 2026 has been listed as an IEEE conference: https://conferences.ieee.org/conferences_events/conferences/conferencedetails/71407.

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.

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

- English is the official language. Paper should be written and presented only in English.

-A regular registration can cover a paper with 6 pages and more pages will be charged at 60 USD / 400 RMB / Page.

-If you want to make a presentation and publish your paper, submit a full paper (no less than 4 Pages, two column); just want to make a presentation, abstract (200-400 words) is enough.

- Submission:

1) By online submission system: http://www.easychair.org/conferences/?conf=icetm2026

2) By Email: icetm.eduoutlook.com

3) Template: Please format your paper according to the template (https://icetm.org/Files/template.docx) before submission.

Contact us

Conference secretary: Ms. Adela Zhong

Email: icetm.eduoutlook.com

Tel: +86-19180927671

Website: https://icetm.org/

Office Hours: 9:30--18:00, Monday to Friday (GMT+8 Time Zone)