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