引用本文:
李玲, 翁玥, 向祖慧, 郭枫晚. AI赋能通识教育课程的教学改革初探——以“化学与人类文明”课程为例[J]. 大学化学,
2025, 40(9): 43-52.
doi:
10.12461/PKU.DXHX202410097
Citation: Ling Li, Yue Weng, Zuhui Xiang, Fengwan Guo. A Preliminary Exploration of AI-Enabled Teaching Reform in General Education Courses: A Case Study of “Chemistry and Human Civilization”[J]. University Chemistry, 2025, 40(9): 43-52. doi: 10.12461/PKU.DXHX202410097
Citation: Ling Li, Yue Weng, Zuhui Xiang, Fengwan Guo. A Preliminary Exploration of AI-Enabled Teaching Reform in General Education Courses: A Case Study of “Chemistry and Human Civilization”[J]. University Chemistry, 2025, 40(9): 43-52. doi: 10.12461/PKU.DXHX202410097
AI赋能通识教育课程的教学改革初探——以“化学与人类文明”课程为例
English
A Preliminary Exploration of AI-Enabled Teaching Reform in General Education Courses: A Case Study of “Chemistry and Human Civilization”
Abstract:
This study addresses prevalent issues in the teaching of general education courses, particularly focusing on the course “Chemistry and Human Civilization”. It emphasizes the enhancement of the course’s “intelligence” through the construction of a knowledge graph, the establishment of AI teaching assistants, the innovation of the SCIENCE teaching model, the elevation of learning task challenges, the reform of evaluation methods, and the strengthening of learning process assessments. The knowledge graph and AI teaching assistant were employed to facilitate personalized learning navigation and precise assessment for students across various disciplines. Initial teaching practice results indicate that AI-enabled teaching reform effectively addresses critical issues in general education, alters both teachers’ and students’ perceptions of such courses, increases student engagement, and enhances scientific literacy and higher-order learning capabilities.
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Key words:
- Knowledge graph
- / AI teaching assistant
- / General education
- / Teaching reform
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