大学生科学数据素养现状调查与提升策略研究
魏顺平1, 侯文婷1, 程罡2
1. 中央民族大学 教育学院, 北京 100081;
2. 国家开放大学, 北京 100039
起止页码: 71--76页
DOI:
摘要：
从分布在我国东、中、西部的8个省份中选取9所高校，对在校大学生的科学数据素养能力情况展开调查，采用描述性统计、差异检验、聚类分析、结构方程模型等方法进行分析，构建结构理论模型，探究科学数据素养子维度之间关系。研究发现，高校学生科学数据素养整体一般，数据知识和数据技能维度得分较低；来自不同家庭居住地、家庭经济情况、家庭教育程度的学生群体的科学数据素养存在显著差异，科学数据素养的四个一级维度相互之间存在较强关联。基于调查结果提出了强化数据安全教育、开好科学数据素养课程、引领数据应用创新等策略建议，以期对提升高校学生科学数据素养有所帮助。
Survey on the Current Situation of Scientific Data Literacy of College Students in Universities under the Perspective of Data Security and Research on Enhancement Strategies
WEI Shunping1, HOU Wenting1, CHENG Gang2
1. School of Education, Central University for Nationalities, Beijing 100081;
2. The Open University of China, Beijing 100039, China
Abstract:
Nine universities are selected from eight provinces in eastern, central and western China to investigate the scientific data literacy ability of college students. Analytical methods of descriptive statistics, difference test, cluster analysis,structural equation model are used to build a structural theory model to explore the relationship between sub-dimensions of scientific data literacy. It is found that college students' scientific data literacy is generally average, and their scores in data knowledge and data skills are low. There are significant differences in scientific data literacy among students from different family residence, family economic situation and family education level, and there is a strong correlation between the four first-level dimensions of scientific data literacy. Finally, based on the survey results, some strategic suggestions are proposed,such as strengthening data security educa,tion, opening scientific data literacy courses and leading data application innovation,in order to help improve college studentsscientific data literacy.
收稿日期: 2023-10-26
基金项目: 2023年度国家民委高等教育教学改革研究项目“成果产出与能力生成导向的大学生科学数据素养课程建设与应用”（23225）；2023年度中央民族大学硕士研究生自主科研项目“民族地区中小学教师数字素养水平及提升路径研究”（SZKY2023018）
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