Track 1: Information Systems and Intelligent Computing for Education
Educational Digital Transformation
Intelligent information systems and architectures
Data-driven design and optimization for learning systems
Distributed and cloud-based educational systems
Big data analytics in education and learning environments
Knowledge representation and information retrieval
Human-centered information systems
Cyber-physical systems for smart education
Edge and fog computing in educational technologies
Semantic computing and knowledge graphs
AI-enhanced integration of information systems
Track 2: Intelligent Decision Science and AI-Driven Educational Systems
Educational Digital Transformation
Data-driven decision modeling for learning systems
Intelligent decision support systems
Multi-criteria decision analysis
AI-based decision optimization
Game theory and strategic decision models
Group decision-making systems
Human-AI collaborative decision making in education
Real-time decision systems for smart education environments
Predictive analytics for decision support
Track 3: Future Education and Smart Learning Systems
AI in education and intelligent tutoring systems
Smart classrooms and learning environments
Adaptive and personalized learning systems
Learning analytics and educational data mining
Virtual reality and immersive learning
Mobile and ubiquitous learning technologies
Digital transformation in higher education
Assessment and feedback systems using AI
Lifelong learning and future skill developmen
