Citation: Wenna Wu, Tao Zhang, Tao He, Kai Feng, Yanyang Han, Shanshan Liu, Huajie Liu, Qingzhong Li, Xin Yang. Research and Application of AI Teaching Assistants in the Blended Teaching of Principles of General Chemistry: A Case Study of “Atomic Structure”[J]. University Chemistry, ;2025, 40(9): 245-252. doi: 10.12461/PKU.DXHX202504085 shu

Research and Application of AI Teaching Assistants in the Blended Teaching of Principles of General Chemistry: A Case Study of “Atomic Structure”

Wenna Wu ^1,, ,
Tao Zhang ¹ ,
Tao He ¹ ,
Kai Feng ¹ ,
Yanyang Han ¹ ,
Shanshan Liu ¹ ,
Huajie Liu ² ,
Qingzhong Li ¹ ,
Xin Yang ¹

1.
School of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, Shandong Province, China;
2.
School of Chemical Science and Engineering, Tongji University, Shanghai 200092, China

Corresponding author: Wenna Wu, wuwenna@ytu.edu.cn
Received Date: 28 April 2025
Accepted Date: 28 July 2025

The digital transformation of university education, which integrates traditional classroom teaching with digital intelligence technologies, has emerged as a predominant trend in contemporary pedagogical reform. Among the various applications of generative AI in higher education, the implementation of intelligent AI teaching assistant systems has demonstrated significant potential in reshaping educational spaces and instructional activities. This study investigates the application of the AI teaching assistant system, an enhanced feature of the Chaoxing Fanya platform, in the principles of general chemistry course, thereby establishing an AI-enhanced blended teaching model. Using the “Atomic Structure” module as a case study, this research examines the system’s capabilities in content generation, personalized learning, and intelligent academic support. The AI teaching assistant was systematically integrated into various instructional phases, including lesson preparation, teaching delivery, question answering, and learning analytics. This approach not only facilitates educational reform but also provides tailored learning assistance for students, ultimately enhancing the overall quality of instruction.
- Generative AI,
- AI teaching assistant,
- Principles of general chemistry,
- Teaching reform,
- Blended teaching
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