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.
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Speaker
Dr. Rui Li
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talks
Assistant Professor
NYU Tandon School of Engineering
Assistant Professor running Flexible AI-enabled Mechatronic Lab (FAMS) at NYU Tandon School of Engineering. He has an educational background in chemical and robotic engineering. He has professional experience in the telecommunication and medical industries. He has a few medical devices being used for human trials at the Center for Clinical Oncology, National Institute of Health. He is a member of ASEE and has a strong passion for improving student motivation in STEM education. He has been involved in AI agent development in the past two years.
Bio from: AI Agent Meetup
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