🔹 Track 1. Innovations in AI-Driven Educational
Methodologies
• Trustworthiness Assurance for Generative Educational
Content
• Fine-Tuning Strategies for Multilingual LLMs in Education
• Multimodal Fusion for Interdisciplinary Learning
• Reinforcement Learning in Cognitive Modeling for Education
• Optimization of Prompt Engineering in Educational Contexts
• Few-Shot Learning Adaptation for Educational Scenarios
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🔹 Track 2. Educational Data Science
• Causal Inference Frameworks for Learning Behavior Analysis
• FERPA-Compliant Data Governance Architectures
• Dynamic Construction of Educational Knowledge Graphs
• Multimodal Learning Analytics Pipelines
• Transformer-Based Models for Educational Time-Series Data
• Differentially Private Learning Analytics
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