The technical areas include but are not limited to the following:

Artificial Intelligence (AI)

Foundation Models and Large Language Models (LLMs)
Generative AI and Multimodal Intelligence
Autonomous and Agentic AI Systems
Reinforcement Learning and Decision Intelligence
Embodied AI and Robotics
Explainable, Trustworthy, and Responsible AI
Human-AI Interaction and Alignment
Edge AI and Scalable AI Systems

Educational Technology (EdTech)

Learning Analytics and Educational Data Mining
Adaptive and Personalized Learning Systems
Intelligent Tutoring Systems (ITS)
Game-Based Learning and Simulation-Based Learning
XR/VR/AR and Immersive Learning
Digital Learning Environments and LMS Innovation
Assessment, Feedback, and Learning Evaluation
Technology-Enhanced Collaborative Learning

AI in Education (AI + EdTech Integration)

Generative AI for Teaching, Learning, and Assessment
AI Agents and Copilots in Education
Teacher–AI Collaboration and Augmentation
Multimodal AI for Learning Analytics
AI-Driven Personalized and Adaptive Learning
Human-AI Co-Learning and Pedagogical Innovation
AI Literacy and Future Skills Education
Ethical, Fair, and Trustworthy AI in Education
AI for Inclusive and Global Education