The topics of interest for submission include, but are not limited to:
Track 1: Education Technology Generative AI in Education: Implementation and Optimization Algorithm Design and Improvement for Adaptive Learning Systems Construction of Educational Knowledge Graphs and Intelligent Reasoning Techniques AI-Powered Automated Assessment and Feedback Technologies Multimodal Learning Analytics Interaction Technologies and Behavioral Modeling for Educational Robots Development of Virtual Reality (VR)/Augmented Reality (AR) Teaching Technologies Educational Big Data Mining and Visualization Techniques Natural Language Processing (NLP) Applications in Education Federated Learning and Privacy Protection in Educational Data |
Track 2: Education Applications Practical Cases and Effectiveness Evaluation of AI in K-12 Education Applications of Intelligent Tutoring Systems in Higher Education Innovative Models of AI-Powered Vocational Education Design and Practice of Personalized Learning Pathways AI Applications in Special Education Research on Smart Educational Hardware AI-Driven Language Learning Exploration of Gamified Learning Integrated with AI Large-Scale Applications of AI in Online Education Platforms AI-Enabled Educational Equity and Inclusive Education Practices |
Track 3.AI in Education Technology and Applications Ethics and Data Security Governance in AI Education User Experience and Acceptance of AI Education Products Theories and Models of Teacher-AI Collaborative Teaching Standardization and Policy Recommendations for AI Education Technologies Bias and Fairness in AI for Education Cultural Adaptability of AI Education Technologies Cost-Benefit Analysis and Implementation Challenges of AI in Education Innovative Integration of AI with STEM/STEAM Education Interdisciplinary Research on Neuroscience and AI in Education The Future Role and Trends of AI in Education Ecosystems |