On April 9th, the School of Teacher Education held a teaching salon themed Artificial Intelligence Empowers Teaching Research and Reform of Teacher-Training Courses. The salon was held in Room 1817 of Sanjiang Building. Dr. Wu Lan from the School of Teacher Education at Nanjing University of Information Science & Technology was invited as the keynote speaker. Full-time teachers from the Department of Education and the Department of Educational Technology actively participated in the event. Supervisors from the school and the college observed and provided guidance on site. Some graduate students also attended the lecture and participated in the discussion. The salon was hosted by Kang Cui, the Vice Dean of Teaching.

At the beginning of the lecture, Dr. Wu Lan introduced the basic concepts and development trajectory of generative artificial intelligence. Based on this, she elaborated on the basic principles of generative artificial intelligence, focusing on large models, large language models, and multimodal large models, thereby expanding the academic horizons of the participating teachers and students. Subsequently, Dr. Wu focused on exploring the application value of generative artificial intelligence in teaching practice, including the auxiliary role of teachers in pre-class learning analysis, teaching material preparation, as well as post-class summary and review, homework design and grading. Finally, Dr. Wu conducted an in-depth analysis of the current application status and development trends of generative artificial intelligence in teaching research from three dimensions: teaching effectiveness, teaching mode, and teaching support services, further inspiring the research ideas of teachers and students. After the lecture, teachers engaged in intense discussions centered around AI empowering teacher education, teaching research, and teaching reform, combining their own course teaching, and exchanged ideas with Dr. Wu Lan.

This teaching salon focuses on the innovative practice of teacher education courses, taking artificial intelligence technology as the entry point. Through expert guidance, case sharing, and interactive discussion, it provides valuable ideas and inspiration for exploring the integration path of artificial intelligence with teacher education course teaching, research, and reform.