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基于CiteSpace的我国概率论课程思政研究知识图谱分析

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摘要 近年来,概率论与数理统计作为大学基础课程其课程思政教学改革已成为学界研究热点。特别是概率论部分,该研究领域发文量呈现增长趋势。该文以CNKI数据库中140篇中文期刊论文为样本,借助CiteSpace软件对样本文献进行可视化计量分析。结果显示,已有研究在机构合作、作者合作之间尚未形成完整研究合作链,研究热点也随时间推移逐渐由浅到深、由点及面的改变,并存在进一步优化的空间。未来,研究人员应加强地域间、高校间、团队间合作;同时,研究优秀课程思政教学案例,促进不同学科之间的融合与交叉。 In recent years,the reform of ideological and political education in Probability Theory and Mathematical Statistics,as a fundamental course in universities,has become a hot research topic in the academic community.Especially in the probability theory section,the number of publications in this research field is showing an increasing trend.This paper takes 140 Chinese journal papers from the CNKI database as samples and uses CiteSpace software to conduct visual quantitative analysis of the sample literature.The results show that the existing research has not yet formed a complete research cooperation chain between institutional cooperation and author cooperation,and the research hotspots have gradually changed from shallow to deep,from point to surface,and there is room for further optimization over time.In the future,researchers should strengthen cooperation between regions,universities,and teams.At the same time,research excellent cases of ideological and political education in courses to promote the integration and intersection of different disciplines.
机构地区 云南财经大学
出处 《高教学刊》 2024年第15期7-10,共4页 Journal of Higher Education
基金 云南省2023年本科教育教学改革研究项目“AI赋能新形态资源——大学数学课程知识图谱建设与应用”(JG2023199) 2021年云南财经大学课程思政示范课程项目“概率论与数理统计”(无编号)。
关键词 课程思政 CITESPACE 知识图谱 可视化计量分析 概率论 curriculum ideological and political education CiteSpace knowledge graph visual econometric analysis probability theory
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