2026 3rd International Conference on Intelligent Education and Computer Technology（IECT 2026）
With the rapid development of computer science in recent years, our lives have been transformed, and significant changes have also impacted the field of education. Intelligent education increasingly relies on the support of advanced products and technology. Modernized educational infrastructure now includes cutting-edge teaching facilities, large-scale network coverage, big data systems, and open educational resources. These hardware and software advancements are essential prerequisites for the transformation towards educational informatization.
The conference aims to bring together researchers, scholars, and practitioners to discuss the latest research findings and technological innovations. Key topics include:
- Intelligent education
- Educational informatization
- Intelligent learning environments
- Data mining
IECT 2026 seeks to address the technological needs of education at all levels, accelerate the development of intelligent education, and foster a sustainable ecosystem for intelligent education. This event will unite innovative academics and industrial experts in the fields of Intelligent Education and Computer Technology.
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.
Previous Publications:
- IECT 2024: ACM Digital Library | EI Compendex | Scopus
- IECT 2025: ACM Digital Library | EI Compendex | Scopus
Note:
- Submitted articles must report original research results, experimental or theoretical, not previously published or under consideration elsewhere.
- Ethical conduct is paramount, and plagiarism or other misconduct will not be tolerated.
Organizer
Hunan Normal University
Call for Papers
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
This event promises to be a significant platform for advancing intelligent education and computer technology.
