Track 1: Artificial Intelligence in Educational Psychology
▪ Human-Computer Interaction
▪ Sentiment Analysis
▪ Multimodal Data
▪ Bayesian Networks
▪ Speech Detection
▪ Psychological Characteristics Modeling
▪ Artificial Neural Networks
▪ Interactive Evolutionary Computation
▪ Expression Recognition
▪ Speech Detection
▪ Natural Language Processing
▪ Biosensors
▪ Brain-Computer Interfaces

Track 2: Educational Technologies and Systems
▪ E-learning platforms and tools
▪ Computer-supported collaborative learning
▪ Intelligent Tutoring Systems
▪ Intelligent Learning Environments
▪ Learning Analytics and Visualization
▪ Educational Big Data
▪ Game-based learning
▪ Virtual Reality and Augmented Reality in Education
▪ Adaptive Learning Systems
▪ Educational Robotics and Automation
▪ Emerging Technologies in Education
▪ Intelligent Assessment Systems