1. Artificial Intelligence in Science Education (AISE: Artificial Intelligence in Science Education)
- Automatic Scoring Models for Open-Ended Problems
- Multimodal Data Prediction Modeling
- Optimization Modeling for Small Sample size
- Automation Analysis for Dynamic AOI (Area of Interest) in Natural Learning Contexts
2. Dynamic Cognitive Processes and Eye-tracking for Digital Learning
- Dynamic Cognitive Process Analysis for Complete Problem Solving (CPS: Complete Problem Solving)
- Design of Multimedia Teaching Materials with Graphic Integration
- Recording Visual Attention for Tracking and Diagnosing Cognitive Load
- Integration of eye-tracking device, handwriting device and digital learning system
3. Quantitative Research Method in Education
- Information Mining for High-Dimensional Educational Big Data
- Integration of statistics, data mining and mechanical learning for learning analytics
- Statistical analysis with minimal intervention, smart information visualization
- Multilevel Structural Equation Modelling (ML-SEM)