FCLT 2026

Submissions may be targeted within, but not limited to, the following major topics and sub-topics:

🔹 Track 1: Learning Computing and Personalized Systems Methodologies • Multimodal Learning Analytics and Computational Modeling • Knowledge Graphs and Domain Modeling • Fair and Explainable Recommendation Algorithms • Privacy-Enhanced Data Processing and Analysis	🔹 Track 2: Immersive Computing and Interaction Technologies • VR/AR/MR and Serious Games Applications • Educational Metaverse: Architectures and Interaction • Digital Twins and Simulation Environments • Multimodal Interaction and User Experience

🔹 Track 3: System Architecture, Data Governance, and Trustworthy Computing • System Architecture, Software Engineering, and Open Standards • Data Middle Platforms, Governance, and Full Lifecycle Management • Blockchain-Based Certification and Algorithm Auditing • Policy, Ethics, and Compliance Frameworks	🔹 Track 4: Scalable Deployment, Evaluation Methods, and Equity • Participation Analysis and Intervention in Large-Scale Applications • Human-AI Collaboration Models and Teacher Support Tools • Effectiveness Evaluation and Causal Inference Methods • Practices and Research for Promoting Educational Equity

🔹 Track 5: Emerging Computing Paradigms and Future Learning • Educational Applications and Implications of Generative Models • Educational Robotics, Embodied Interaction, and Skill Learning • Neuroscience, IoT, and Context-Aware Computing • Design of Next-Generation Learning Ecosystems for Future Competencies