(Include but not limited to)
Track 1: Artificial Intelligence and Educational Applications
Theories and Methods of Artificial Intelligence in Education
Applications of Machine Learning and Deep Learning in Education
Large Language Models (LLMs) and Generative AI Educational Applications
Intelligent Tutoring Systems and AI Teaching Assistants
Natural Language Processing and Intelligent Essay Grading
Computer Vision and Learning Behavior Recognition
Multimodal Learning Analysis and Emotional Computing
Knowledge Graphs and Intelligent Knowledge Services
Intelligent Recommendations and Personalized Learning Paths
Educational Robots and Intelligent Teaching Equipment
Human-Centric Teaching and Human-Computer Interaction
AI-Driven Educational Evaluation and Learning Prediction
Ethics, Bias, and Governance of Educational AI
Testing, Validation, and Evaluation of Educational AI Systems
Track 2: Educational Innovation and Teaching Transformation
Theories and Models for Educational Innovation
Smart Education Framework and Digital Transformation
Personalized Learning and Adaptive Learning Systems
Blended Learning and Online Teaching Models
Project-Based Learning and Inquiry-Based Learning
Game-Based Learning and Educational Game Design
Virtual Simulation Experiments and Virtual Laboratories
Virtual Reality (VR) / Augmented Reality (AR) Teaching Applications
Metaverse and Immersive Learning Environments
Educational Evaluation Reform and Learning Assessment Innovation
Teacher Professional Development and Digital Literacy Enhancement
Educational Equity and Inclusive Education
Track 3: Learning Analysis and Educational Data Mining
Theories and Methods of Learning Analysis
Education Data Collection, Storage, and Management
Learning Behavior Data Mining and Analysis
Learning Process Modeling and Learning Trajectory Analysis
Learning Prediction and Learning Risk Warning
Education Data Visualization and Visual Analysis
Multimodal Learning Analysis Technologies
Machine Learning and Deep Learning Methods in Learning Analysis
Privacy Protection and Data Ethics in Learning Analysis
Teaching Decision-making and Intervention Supported by Learning Analysis
Development of Learning Analysis Platforms and Tools
Standards for Learning Analysis and Data Interoperability
Application of Learning Analysis in K12, Higher Education, and Other Fields
......