2026 3rd International Conference on Intelligent Education and Computer Technology（IECT 2026）

Memo

ABOUT IECT2026 With the development of computer science in recent years, our lives have been transformed, and significant changes have also been brought to the field of education. The development of intelligent education increasingly relies on the support of products and technology. In the modernization of education, new educational infrastructure includes modernized teaching facilities, large-scale network coverage, big data systems, and open educational resources. These hardware and software conditions are prerequisites for the transformation towards educational informatization.   The conference aims to bring together researchers, scholars, and practitioners in the field to discuss the latest research findings and technological innovations. The sessions will cover topics such as intelligent education, educational informatization, intelligent learning environments, and data mining. The conference seeks to meet the technological needs of education at all levels through technological innovation, accelerate the development and transformation of intelligent education, and create a truly sustainable new ecosystem for intelligent education. IECT 2026 is to bring together innovative academics and industrial experts in the field of Intelligent Education and Computer Technology to a common forum.   PUBLICATION All accepted full papers will be published in the conference proceedings ACM International Conference Proceedings Series (ISBN: 979-8-4007-2365-0) and submitted to EI Compendex and Scopus for indexing after publication. IECT 2024: ACM Digital Library| EI Compendex | Scopus IECT 2025: ACM Digital Library| EI Compendex | Scopus Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.   ORGANIZER Hunan Normal University   Call For Paper Track 1: Learning Analytics and Educational Data Mining   Data-Informed Learning Theories Learning and Teaching Processing Mining Emotional Learning Analysis Learner Engagement and Involvement Quantification and Analysis Learning Early Warning and Learning Intervention Design and Adoption of Learning Analytics Tools Adaptive Learning Decision Support and Feedback Multivariate and Multimodal Learning Assessment   Data-Driven Performance Prediction Discourse analysis in Interactive Learning Environments Collaborative Learning Analytics Social and Epistemic Network Analysis Ethical Issues in Learning Analytics   Track 2: Technology-Enhanced Learning and Instruction Designing Interactive Virtual Reality (VR) Simulations for Science Education Integrating Gamification Elements into Online/Offline Course Design Utilizing Learning Analytics to Inform Instructional Design Decisions Video Conferencing in Learning Social Media Integration in Instruction Digital Resources and Tools for Instruction Interactive Simulations for Concept Teaching in STEM Education Automated Grading Systems: Benefits, Challenges, and Best Practices Personalizing Feedback to Support Student Learning Technology-Enhanced Classroom Management Strategies Digital Attendance Tracking and Student Progress Monitoring Innovations in Technology Integration for Instruction Interactive Whiteboards and Multimedia Presentations Flipped Classroom Models Integrating Robotics and Coding in STEM Instruction Identifying At-Risk Students and Tailoring Support Interventions Evidence-Based Instructional Decision Making   Track 3: Artificial Intelligence Enhanced Special Education AI-based Assistive Technology for Special Children AI-Powered Intervention Technology for Children with ASD Intelligent Behavior Sensing for Special Children AI-Assisted Assessment of Children with ASD Brain Source Reconstruction for Mental Disorders EEG Analysis for Special Children Intelligent Screening for Children with ASD Personalized Learning Techniques for Special Children Human-Computer Interaction Technology for Special Education Student Support Technology for Special Children Intelligent Tutoring Systems for Special Education   Track 4: Artificial Intelligence Applications and Innovations in Education Modelling and Representation of Individual and Group Learning AI and the Future of Learning Wearable and Undisturbed Learning Sensing Technologies Affective Computing in Education Generative AI in Education AI-enabled Personalization Learning Learning Content Recommendation Intelligent Learning Environments Human-AI Hybrid Systems for Learning Intelligent Agent (Assistants) Intelligent Tutoring Systems Educational Process Visualization and Dashboard AI-driven Transformation of Learning/Curriculum AI Ethical, Privacy and Security Challenges in Education