图书情报工作 ›› 2019, Vol. 63 ›› Issue (19): 66-74.DOI: 10.13266/j.issn.0252-3116.2019.19.005

• 中国科学院文献情报中心研究生教育40周年纪念专辑 • 上一篇    下一篇

大数据时代高校数据素养课程群构建研究

沈玖玖, 徐萍, 张琴, 龚花萍   

  1. 南昌大学管理学院信息管理系 南昌 330031
  • 收稿日期:2018-12-23 修回日期:2019-03-04 出版日期:2019-10-05 发布日期:2019-10-05
  • 作者简介:沈玖玖(ORCID:0000-0002-9415-4363),教授,硕士,硕士生导师,E-mail:1435657047@qq.com;徐萍(ORCID:0000-0001-8800-6455),本科生;张琴(ORCID:0000-0002-4862-8775),本科生;龚花萍(ORCID:0000-0003-4601-7628),教授,硕士,硕士生导师。
  • 基金资助:
    本文系2017年江西省高等学校教学改革研究项目"大数据时代大学生数据素养教育课程群构建研究——以信息管理与信息系统专业为例"(项目编号:JXJG-17-1-55)和"大数据视阈下大学生数据素养成长规律与培养模式研究"(项目编号:JGLX-18-1-55)研究成果之一。

Research on the Construction of University Data Literacy Curriculum Group in the Era of Big Data

Shen Jiujiu, Xu Ping, Zhang Qin, Gong Huaping   

  1. Department of Information Management, School of Management, Nanchang University, Nanchang 330031
  • Received:2018-12-23 Revised:2019-03-04 Online:2019-10-05 Published:2019-10-05

摘要: [目的/意义] 大数据环境下,科学数据的管理越来越受到社会各界的重视。因此高校数据素养人才的培养日显重要,数据素养课程是对大学生进行数据素养培养的重要依据。[方法/过程] 采用问卷调查和SPSS 22软件中Pearson相关性分析,对与数据素养关系较为密切的信息素养课程与数据素养之间的关系进行分析,并从中析出数据素养课程集合,再运用聚类分析对数据素养课程进行模块化分类。[结果/结论] 研究结果表明信息素养相关课程可以作为数据素养的培养基础,在此基础上通过补充完善相应数据素养课程,并依据数据生命周期理论构建出包括数据意识及伦理、数据获取和数据处理、数据分析与利用课程模块的数据素养课程群。

关键词: 数据素养, 信息素养, 课程群, 相关分析, 聚类分析

Abstract: [Purpose/significance] In the era of big data, the management of scientific data has received more and more attention from all walks of life. Therefore, the cultivation of data literacy talents in colleges and universities is becoming more and more important. The data literacy curriculum is an important basis for the data literacy training of college students.[Method/process] Using the questionnaire survey and Pearson correlation analysis method in SPSS.22 software, the article analyzed the relationship between information literacy curriculum which is closely related to data literacy and data literacy, and then refined the data literacy curriculum collection. Finally, clustering analysis was used to classify the data literacy curriculum.[Result/conclusion] The research results show that courses related to information literacy can be used as the basis for data literacy. On this basis, by supplementing and perfecting the corresponding data literacy courses, the article constructs the data literacy course group, including data awareness and ethics course module, data acquisition and data processing course module and data analysis and utilization course module.

Key words: data literacy, information literacy, course group, related analysis, cluster analysis

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