摘要
文章在对国内外开展数据素养教育以及数据素养能力评价现状调研的基础上,以高校大学生为研究对象,通过借鉴国内外数据素养教育理念、能力框架及评价标准设计数据素养要素指标,并将学生的个人因子纳入其中,构建了数据素养能力评价指标体系。最后,采用因子分析法实现了数据素养能力量化评定,达到了精确评价数据素养能力的目的,实现了MOOC环境下数据素养教育类课程效果的有效评估。
Based on the status of data literacy education and data literacy evaluation, this article, taking university students as the research object, designs data literacy evaluation model by learning the concept of data literacy education, ability framework and evaluation criteria at home and abroad. It constructs the evaluation model in which the students' personal factors are included.Factor analysis is applied to achieve quantitative evaluation of data literacy ability, and achieves the purpose of accurately evaluate data literacy ability, as well as achieves effective evaluation of data literacy education curriculum effect under MOOC environment.
作者
刘爱琴
刘蕾蕾
尚珊
Liu Ai-qin;Liu Lei-lei;Shang Shan
出处
《图书馆理论与实践》
CSSCI
2018年第3期104-109,共6页
Library Theory and Practice
基金
山西大学人文社会科学科研基金项目"基于跨界思维的信息咨询新业态研究"(项目编号:115546003)的研究成果之一
关键词
数据素养能力
评价指标体系
因子分析
量化评定
Data Literacy Ability
Evaluation Index System
Factor Analysis
Quantitative Evaluation