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基于人工智能的无机化学课程思政探索与实践OA

Exploration and Practice of Ideological and Political Education in Inorganic Chemistry Courses with the Assistance of Artificial Intelligence

中文摘要英文摘要

无机化学作为高校化学专业学生的必修课,对于培养学生的思想道德品行和正确的价值观念具有重要意义,将思政元素融入无机化学专业课程是教学改革的重要方向.但传统的无机化学课程思政在实施过程中仍存在一定缺陷,无法满足学生个性化发展的需求.随着教育技术的不断进步,人工智能正逐步渗透到高等教育的各个领域,为传统教学模式带来革新.人工智能通过提供个性化学习途径、动态学生表现,并且给予针对性的反馈和指导等方式弥补了上述问题.本文通过分析人工智能技术在无机化学课程思政中的具体应用,提出了基于人工智能背景下无机化学课程思政建设的实践策略,推动无机化学课程思政建设的时代化、智能化发展.

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.

董惠馨;周振垒;邹雯欣;金娟;刘希光;牛余忠;祝丽荔;姜华

鲁东大学化学与材料科学学院,山东 烟台 264025中节能万润股份有限公司,山东 烟台 265599鲁东大学化学与材料科学学院,山东 烟台 264025鲁东大学化学与材料科学学院,山东 烟台 264025鲁东大学化学与材料科学学院,山东 烟台 264025鲁东大学化学与材料科学学院,山东 烟台 264025鲁东大学化学与材料科学学院,山东 烟台 264025鲁东大学化学与材料科学学院,山东 烟台 264025

社会科学

无机化学课程思政人工智能个性化需求

Inorganic chemistryIdeological and political educationArtificial intelligencePersonalized demand

《大学化学》 2026 (3)

254-261,8

山东省本科教学研究面上项目(M2022181)山东省教指委教学研究项目(SDHX-YB-2022-25)山东省自然科学基金面上项目(ZR2024ME213,ZR2017PB006,ZR2024ME246)吉林大学无机合成与制备化学国家重点实验室开放课题基金(2023-20)鲁东大学自然科学基金(LY2014015)鲁东大学学生创新基金(ld171040)

10.12461/PKU.DXHX202505003

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