融入思政元素的“数据分析”课程教学改革方法研究  

Research on Teaching Reform Method of Data Analysis Course Integrating Ideological and Political Elements

作　　者：周旭 孙庚[2] ZHOU Xu;SUN Geng(Public Computer Education and Research Center,Jilin University,Changchun,Jilin 130012,China;College of Computer Science&Technology,Jilin University,Changchun,Jilin 130012,China)

机构地区：[1]吉林大学公共计算机教学与研究中心,吉林长春130012 [2]吉林大学计算机科学与技术学院,吉林长春130012

出　　处：《教育教学论坛》2024年第42期55-58,共4页Education And Teaching Forum

基　　金：2023年度吉林大学本科教学改革研究项目“课程思政理念下‘数据分析’课程教学改革研究与实践”(2023XYB098);2022年度吉林大学研究生教育教学改革项目“基于对分课堂的‘数据通信’课程设计与建设”(2022JGY063)。

摘　　要：大数据时代,数据分析成为各个领域长期发展的必要手段。“数据分析”课程作为一门选修课,主要训练学生掌握解码大数据背后时代发展规律的方法,为培养医学、物理、化学、经济等专业学生的数据处理能力奠定良好基础。主要针对“数据分析”课程的教学目标以及目前教学过程中存在的问题,提出具体的教学改革措施,从优化课程内容、改善教学方法、融入思政元素、增加实训练习和改革考核模式等五个方面,以提高课程教学质量和增强学生应用能力的培养。In the era of big data,data analysis has become a necessary means for the long-term development of various fields.As an elective course,Data Analysis mainly trains students to master the methods of decoding the development laws of the era behind big data,laying a solid foundation for cultivating the data processing abilities of students majoring in medicine,physics,chemistry,economics,and other fields.The article mainly focuses on the teaching objectives of the Data Analysis course and the existing problems in the current teaching process,proposing specific teaching reform measures from optimizing the course content,improving teaching methods,integrating ideological and political elements,increasing practical training exercises,and reforming assessment models to promote the improvement of the teaching quality of the course and strengthen the cultivation of students’application abilities.

关 键 词：数据分析 课程思政 案例式教学 混合式教学方法 

分 类 号：G642.41[文化科学—高等教育学]