大学化学 >> 2025, Vol. 40 >> Issue (9): 245-252.doi: 10.12461/PKU.DXHX202504085

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AI助教在普通化学原理混合式教学中的研究与应用——以“原子结构”教学为例

武文娜1, 张涛1, 何涛1, 冯凯1, 韩艳阳1, 刘珊珊1, 柳华杰2, 李庆忠1, 杨昕1   

  1. 1 烟台大学化学化工学院, 山东 烟台 264005;
    2 同济大学化学科学与工程学院, 上海 200092
  • 收稿日期:2025-04-28 录用日期:2025-07-28 发布日期:2025-09-16
  • 通讯作者: 武文娜 E-mail:wuwenna@ytu.edu.cn
  • 基金资助:
    山东省本科教学改革研究项目(M2024254)；2024年烟台大学教学改革项目(JYXM2024043Y)；2025年同济大学研究生教育研究与改革项目(2025ZSWDY26)

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

Wenna Wu1, Tao Zhang1, Tao He1, Kai Feng1, Yanyang Han1, Shanshan Liu1, Huajie Liu2, Qingzhong Li1, Xin Yang1   

  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
  • Received:2025-04-28 Accepted:2025-07-28 Published:2025-09-16
  • Contact: Wenna Wu E-mail:wuwenna@ytu.edu.cn

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摘要： 实现大学教学的数智化转型，将经典的课堂教学与数智化技术有机结合，成为当今教学改革的主要潮流。生成式AI对高等教育的赋能形式之一，是引入能辅助教学和答疑的智能AI助教系统，以重构教学空间与教学活动。本文探索将超星泛雅平台增设的AI助教系统应用于普通化学原理课程教学，构建AI赋能的普通化学原理混合式教学模式。以“原子结构”教学章节为例，剖析AI助教在教学内容生成、个性化学习、智能化助学等方面对师生的赋能和支持，在备课、教学、答疑、学情分析等各个教学环节中融入AI助教并展开研究，助力教学改革，为学生提供个性化学习辅助，综合提升教师的教学质量。

关键词: 生成式AI, AI助教, 普通化学原理, 教学改革, 混合式教学

Abstract: 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.

Key words: Generative AI, AI teaching assistant, Principles of general chemistry, Teaching reform, Blended teaching