信息生态视域下大学生数据可视化素养评价研究

Data Visualization Literacy of University Students Through the Lens of Information Ecology

[目的/意义]视觉文化时代,数据可视化素养日益受到重视。大学生作为数字经济的重要参与者,评估大学生数据可视化素养对推动高端数字人才培育,助力数字强国建设具有重要的战略意义。[方法/过程]本文通过梳理国内外数据可视化素养研究成果,以大学生为评价主体,围绕信息、信息技术和信息环境3个维度提出信息生态视角下的大学生数据可视化素养评价指标,然后借助BP神经网络建立评价模型,综合测量了大学生数据可视化素养水平。[结果/结论]本文提出了包含8项一级指标、23项二级指标的大学生数据可视化素养评价指标体系,并形成了科学有效、简单易用的BP神经网络评价模型。研究结果不仅为数据可视化素养评价研究提供了新视角,而且为图书馆开展数据可视化素养培育提供了理论指导和实践指南。

[Purpose/Significance]In the era of visual culture,data visualization literacy is increasingly emphasized.As university students are the important participants in the digital economy,assessing the data visualization literacy of university students could promote the cultivation of high-end digital talents and help the construction of digital China.[Method/Process]Through literature collection,the paper constructed the evaluation indexes of data visualization literacy of university students through the lens of information ecology,namely the dimensions of information,information technology,and information environment.Then,the paper established an evaluation model using BP neural network,and measured university students'data visualization literacy.[Result/Conclusion]This paper proposes a data visualization literacy evaluation index framework consisted of 8 primary indicators and 23 secondary indicators,and forms a scientific,effective and easy-to-use BP neural network evaluation model.The results not only enrich the data visualization literacy evaluation research,but also provide theoretical and practical guidances for libraries to cultivate individuals'data visualization literacy.