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 |
