继续医学教育2026,Vol.40Issue(2):14-19,6.DOI:10.3969/j.issn.1004-6763.2026.2.003
数智技术赋能分析化学课程思政教学构建研究
Research on the construction of curriculum ideology and politics in analytical chemistry courses empowered by digital-intelligent technology
摘要
Abstract
Currently,against the backdrop of the new wave of higher education talent cultivation reform,digital-intelligent technologies represented by artificial intelligence,virtual simulation,and big data present significant opportunities for the reform of pharmaceutical education.As a fundamental professional course in the field of pharmacy,Analytical Chemistry plays a crucial role in achieving the educa-tional objectives,and its teaching effectiveness,particularly in the integration of ideological and political education,directly relates to the cultivation of high-quality pharmaceutical talents.This paper began with an analysis of the current status of ideological and political ele-ments in Analytical Chemistry teaching.By leveraging digital-intelligent technologies,it aimed to optimize top-level design,promote the organic integration of ideological and political elements into classroom instruction,construct high-quality teaching resources,and employ intelligent evaluation methods to assess the effectiveness of ideological and political education.These strategies helped to overcome the limitations of traditional approaches and align with the demands of contemporary development.Therefore,taking the reform of ideological and political teaching in Analytical Chemistry as a case study,this paper explored its application within the framework of digital-intelligent technologies,providing valuable insights into how such technologies could empower the construction of ideological and political educa-tion in higher education.关键词
数据技术/人工智能/分析化学/课程思政/教学改革Key words
digital-intelligent technology/artificial intelligence/analytical chemistry/curriculum ideology and politics/educational reform分类
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纪万里,冯嘉楠,亓雪,贾冬玲,张宜凡..数智技术赋能分析化学课程思政教学构建研究[J].继续医学教育,2026,40(2):14-19,6.基金项目
上海健康医学院2025年教师教学发展研究项目(CFDY20250028P) (CFDY20250028P)