◕ Track 1

Generative Artificial Intelligence 

Large language models

Generative adversarial networks

Diffusion models

Multimodal generative models

Knowledge-augmented generation 

Explainable generative AI 

Human-in-the-loop generation 

Generative AI safety and ethics 

Prompt engineering 

Few-shot  zero-shot generation

Adaptive content generation

◕ Track 2

Data, Interaction and Learning Analytics 

Educational data mining  

Learning analytics  

Student engagement analysis  

Human-AI collaborative learning  

Emotion recognition in education  

Privacy-preserving AI in education  

Edge and cloud AI for education  

Learning pathway modeling  

Cross-platform educational AI  

Ethical and fair AI in education 

◕  Track 3

 Intelligent Educational Applications 

Intelligent tutoring systems 

Personalized learning  

Adaptive assessment  

Virtual teaching assistants  

Automated content generation  

Gamification  

Curriculum design support  

Conversational educational agents  

AI-supported collaborative learning  

Virtual labs and simulations