基于CiteSpace的Python数据分析课程教学模式研究  

Research on the Teaching Mode of Python Data Analysis Course Based on CiteSpace

作　　者：李菁菁[1] LI Jingjing(Business School of Changchun Guanghua University,Changchun 130033,China)

机构地区：[1]长春光华学院商学院,吉林长春130033

出　　处：《现代信息科技》2024年第20期140-144,共5页Modern Information Technology

基　　金：吉林省教育科学“十四五”规划2022年度课题(GH22505);吉林省高等教育教学改革研究重点课题(JLJY202391382800)。

摘　　要：借助CiteSpace可视化分析软件,文章对中国知网学术期刊库收录的国内2000—2023年616篇有关Python数据分析课程的相关研究文献进行计量分析,掌握Python数据分析课程研究的发展脉络、演化路径、研究热点与研究趋势等内容,根据分析结果,结合教学日常发现Python数据分析课程目前存在以下问题:教学内容繁杂,学生对知识的应用能力不强;教学方法单一,未能有效调动学生积极性;教学实例与职业需求存在脱节,未能充分培养学生的实际操作能力等。针对问题从Python数据分析课程的教学内容、教学方法及教学实例三个方面提出建设意见。With the help of CiteSpace visual analysis software,this paper carries out measurement analysis of 616 pieces of research literature related to Python data analysis course from 2000 to 2023 in CNKI Academic Journal Database,and masters the development lineage,evolution path,research hotspot and research trend of Python data analysis course and so on.According to the analysis results,combined with the teaching routine,it is found that there are some problems in the Python data analysis course.For example,the teaching content is complicated,and the ability to apply knowledge of students is not strong.The teaching methods are single,failing to effectively mobilize students'enthusiasm.There is a disconnection between the teaching examples and occupational needs,failing to fully cultivate the students'actual operation ability.In view of the problems,this paper puts forward the construction opinions from the teaching content,teaching methods and teaching examples of Python data analysis course.

关 键 词：CITESPACE 数据分析课程 Python数据分析 可视化分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]