基于ECD模型的高校本科生数据素养评价设计研究

Research on the ECD Model Design of Data Literacy Evaluation for Undergraduate Students

随着数字中国和国家大数据战略的推进,当代高校本科生“用好数据”将成为一项核心能力。为了解其数据素养水平,基于ECD模型设计高校本科生数据素养评价工具,以问卷、知识测试与复杂情境性任务相结合的方式对高校本科生进行测评,开展预测试,基于Rasch模型对任务模型有效性进行检验,分析测评题目的信度、区分度、拟合度、单维性等,最后对测评工具进行检验与优化。结果表明,所开发的高校本科生数据素养测评工具科学、合理,信度良好,具有较强的可操作性,可对开展高校本科生数据素养的客观评价提供支持。

With the advancement of Digital China and the national big data strategy,contemporary undergraduate students will become a core competency in“making good use of data”.To find out students'data literacy level,an evaluation tool for undergraduate students was designed based on the ECD model.A combination of questionnaires,knowledge tests,and complex situational tasks was used to evaluate undergraduate students.Pretests were conducted,and the effectiveness of the task model was tested based on the Rasch model.The reliability,discrimination,fit,and unidimensionality of the evaluation questions were analyzed.Finally,the evaluation tool was tested and optimized.The results show that the developed undergraduate data literacy assessment tool is scientific,reasonable,reliable,and has strong operability,which can provide support for the objective evaluation of undergraduate students'data literacy.