Penghe Chen

Penghe Chen is an active researcher in the field of educational technology and artificial intelligence applications in learning systems. His work focuses on knowledge tracing, cognitive diagnosis, intelligent tutoring systems, and adaptive learning technologies. He has contributed extensively to conferences like AIED, ICCE, and AAAI, as well as journals such as IEEE Transactions on Learning Technology.

• Co-author in 37+ peer-reviewed publications
• Collaborator with Yu Lu, Yang Pian, Qinggang Meng, and other leading researchers

Research Trends: Penghe Chen's work integrates machine learning, reinforcement learning, and large language models to enhance educational systems. Key areas include:

• Knowledge Tracing Model Interpretation
• Problem Behavior Diagnosis
• Social Robotics in Education
• Context-Aware Learning Technologies
• Personalized Learning Pathways

His recent publications (2024-2025) emphasize explainable AI for educational counseling, response time integration in cognitive models, and LLM-enhanced tutoring systems. No explicit information about awards, students, or institutional affiliations was found in the provided data.