In this talk, Dr. Rui 'Ray' Li presents groundbreaking work on multi-agent AI systems for Educational AI. Educational AI refers to the application of AI to improve teaching, learning, and educational management. It includes personalized learning systems that adapt to individual student needs, intelligent tutoring systems that provide real-time feedback, automated grading tools, and predictive analytics that help educators identify learning gaps. By leveraging NLP, ML, and data-driven insights, educational AI supports more engaging learning experiences, reduces administrative burdens, and enables equitable access to knowledge across diverse student populations. In this talk, we are discussing the most recent development of using AI agent in classroom learning such as assisting student group projects.