On September 19, 2025, the special lecture on “AI-based Education (AIBE)” hosted by the Innovation Teaching and Research Studio of the School of Life Sciences and Technology was successfully held in Multifunctional Hall 702 of the High-End Technology Building. Professor Chu Ming, Director of Teaching at the Department of Immunology, Peking University Health Science Center, was invited to deliver the keynote address. Wang Lei, Vice Dean and Deputy Party Secretary of the School of Life Sciences and Technology, presided over the event.
Professor Chu Ming began with the “White Paper on China's Smart Education,” systematically interpreting the national digital education strategy. Integrating insights from medical education reform, he provided an in-depth explanation of the fourth-generation AI-based education paradigm. Emphasizing that “immunology is inseparable from disease,” he highlighted his team's innovative practices in developing smart immunology courses. By constructing a knowledge-problem-competency map, they created an “AI Teaching Assistant” to achieve intelligent coverage across the entire teaching process. A live demonstration of the smart course system vividly showcased how such platforms address key teaching and learning challenges: from automated homework grading and real-time Q&A support to AI-powered lab assistants and personalized learning path design. This empowers educators to shift focus from repetitive tasks toward advanced pedagogical innovation, while students gain streamlined, tailored learning experiences. Professor Chu's classroom brims with innovative thinking, notably featuring a collaborative evaluation of AI-generated answers. This approach advocates using time saved by AI for cultivating higher-order skills like critical thinking. During the Q&A session, Professor Chu patiently addressed faculty inquiries regarding AI-powered homework grading, smart course evaluation, and resource sharing.
Zhang Yi, head of the School of Life Sciences' Innovation Teaching and Research Studio, stated that the studio will continue hosting such teaching seminars. Through expert guidance and collaborative teacher communities, it aims to enhance educators' digital and intelligent teaching capabilities. Attendees widely agreed that the lecture provided actionable practical insights for AI-empowered education, offering significant inspiration for transforming teaching paradigms.