应用型本科生数据素养能力综合评价——以大数据分析与应用相关专业课程为例

Comprehensive Evaluation of Data Literacy Ability of Applied Undergraduates—Taking Big Data Analysis and Application Related Professional Courses as an Example

在国内外有关数据素养研究的基础上,我们以广州商学院数字经济产业学院大数据分析与应用相关专业课程为例,针对应用型本科生数据素养能力评价问题,依据数据生命周期理论、问题解决理论和成果导向教育理论,构建了由数据认知、数据知识、数据技能和数据应用4个维度和12个指标组成的指标体系,阐述了数据素养能力评价方法和流程,得出了数据素养能力评分和数据素养综合评价结果,据此提出了数据素养教育优化策略建议,为应用型本科院校强化学生数据素养教育、完善人才培养体系提供科学依据。

Based on the research on data literacy at home and abroad, we take the major courses of big data analysis and application of School of Digital Economy Industry of Guangzhou College of Commerce as an example, this paper aims to evaluate the data literacy ability of applied undergraduates based on data life cycle theory, problem solving theory and results-oriented education theory. An index system consisting of 4 dimensions of data cognition, data knowledge, data skills and data application and 12 indicators is constructed, the evaluation method and process of data literacy ability are expounded, the results of data literacy ability scoring and data literacy comprehensive evaluation are obtained, and the optimization strategies and suggestions for data literacy education are pro-posed accordingly. It provides scientific basis for application-oriented undergraduate colleges to strengthen students’ data literacy education and improve personnel training system.