◕ Track 1: Information Systems and Intelligent Computing for Education

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

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 development