International Conference on Educational Technology Management ICETM on October 16-18, 2026 in Shenzhen, China

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

For more topics, please visit: https://icetm.org/cfp.html

Name: International Association of Computer Science and Information Technology
Website: http://www.iacsit.org/