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Citation: Qi Lin, Jianhua Liu, Liyun Yao, Xiuyan Yang, Weina He, Ruolin Yang. Exploring the Application of Superstar AI Teaching Assistant in Medical Organic Chemistry Courses[J]. University Chemistry, ;2025, 40(9): 142-147. doi: 10.12461/PKU.DXHX202502035 shu

Exploring the Application of Superstar AI Teaching Assistant in Medical Organic Chemistry Courses

Basic Medicine Faculty, Shanghai JiaoTong University, Shanghai 200025, China

Corresponding author: Ruolin Yang, yangruolin@sjtu.edu.cn
Received Date: 8 February 2025
Accepted Date: 16 April 2025

With the rapid development of generative artificial intelligence (GAI), its applications in education have attracted widespread attention. Many universities have successively initiated explorations of AI-enhanced courses. This study, based on the Superstar platform, trained an AI teaching assistant using textbooks, course videos, and related materials to enable it to answer general questions in the “Medical Organic Chemistry” course. The implementation successfully addressed students’ needs for full-time Q&A support and provided valuable experience for improving AI teaching assistant functionalities.
- GAI,
- AI teaching assistant,
- Online Q&A,
- Organic chemistry
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