第二届智慧教育与计算机技术国际学术会议

Welcome to IECT 2025

The 2nd International Conference on Intelligent Education and Computer Technology will be held on June 29-30 2025 in Nantong China.

IECT 2025 is to bring together innovative academics and industrial experts in the field of Intelligent Education and Computer Technology to a common forum.

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.

Highlights of IECT 2025 will include:

●Speeches and presentations by respected researchers in the fields of Intelligent Education and Computer Technology

● Panel discussions

● Presentations of accepted academic and practitioner research papers and a poster paper session

Important Dates

Full Paper Submission Date: Juanary 20 2025

Registration Deadline: June 22 2025

Final Paper Submission Date: June 15 2025

Conference Dates: June 27-29 2025

Call For Papers

The topics of interest for submission include but are not limited to:

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

Publication

All papersboth invited and contributed the accepted papers will be published for inclusion into Conference proceedings with meeting scope and quality requirements and also submitted to EI Compendex Scopus for indexing.  All conference proceedings paper can not be less than 8 pages.

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.