Date：July 9, 2025

Publisher：JNU Integrated Media Center 

Editor: Chang Kaili

On the afternoon of July 4, the 55th “Teaching Excellence” series seminar, focused on enhancing artificial intelligence literacy among faculty, was successfully held at the Shipai Campus. Co-organized by the Faculty Development Center of the Undergraduate College, the Medical Department, and the School of Medicine, the event was chaired by Huang Junqing, Deputy Director of the Faculty Development Center. It attracted extensive participation from faculty across five campuses in three locations, both online and onsite.

Professor Wang Guang, Vice Dean of the School of Medicine, provided a systematic overview of the School’s explorations and phased achievements in leveraging AI to enhance medical education. He emphasized that the School has proactively responded to the University’s call by formulating the School of Medicine, Jinan University AI-Enabled Undergraduate Education Action Plan (2024–2028), which outlines a top-level design and a step-by-step implementation roadmap for integrating AI into the curriculum. The School has prioritized six core courses, including Histology and Embryology and Pathophysiology, to pioneer AI-driven teaching reform, establishing them as the University’s first “AI-Enhanced Course Cluster.” Moving forward, the School plans to incrementally extend these efforts across all courses, with the goal of building a comprehensive and intelligent teaching system.

Associate Professor Wan Shuo delved into the AI integration strategy for the course Histology and Embryology, a 2025 Medical Education Alliance demonstration case. He presented a comprehensive “Five-One” framework for AI-enhanced course development, which includes: constructing a structured knowledge fragment repository, mapping an intelligent curriculum knowledge graph, developing an interactive digital teaching assistant, establishing a holistic AI-supported teaching system, and creating a versatile AI toolset. Professor Wan elaborated on the key implementation steps and representative application scenarios, supported by comparative data and in-depth analysis of student learning outcomes before and after the introduction of AI tools.

Following the seminar, faculty participants engaged in a lively exchange on topics including the selection of AI tools, integration of interdisciplinary courses, and the effectiveness of blended teaching models. Many agreed that the seminar not only provided practical insights from frontline teaching reforms but also offered a clear, actionable pathway for developing “AI-enhanced courses.”Participants expressed strong interest in further case studies and hands-on guidance regarding the application of AI in teaching assessment and student competency tracking.

The Faculty Development Center affirmed its commitment to continuing the series of seminars on AI literacy, with the aim of identifying and promoting outstanding cases of AI-teaching integration. These efforts are part of the University’s broader initiative to support high-quality talent cultivation through the innovative adoption of artificial intelligence in education.