Citation:
Huixin Dong, Zhenlei Zhou, Wenxin Zou, Juan Jin, Xiguang Liu, Yuzhong Niu, Lili Zhu, Hua Jiang. Exploration and Practice of Ideological and Political Education in Inorganic Chemistry Courses with the Assistance of Artificial Intelligence[J]. University Chemistry,
;2026, 41(3): 254-261.
doi:
10.12461/PKU.DXHX202505003
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As a compulsory course for chemistry majors in universities, inorganic chemistry is of great significance in cultivating students' ideological and moral quality and proper values. Integrating ideological and political elements into inorganic chemistry courses is an important direction for teaching reform. However, the ideological and political construction of traditional inorganic chemistry courses still has some shortcomings and cannot meet the individual development needs of students. With the continuous improvement of educational technology, artificial intelligence is gradually infiltrating various fields of higher education and bringing innovation to the traditional teaching mode. Artificial intelligence solves the above problems by providing personalized learning paths, evaluating students' performance in real time, and giving targeted feedback and teaching. By analyzing the specific application of artificial intelligence technology in the ideological and political construction of inorganic chemistry courses, this article proposes practical strategies for the ideological and political construction in inorganic chemistry courses, which will promote the modernization and intelligent development of the ideological and political construction of inorganic chemistry.
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