基于多元主体的高校数据素养教育生态模式构建研究

Construction of Ecological Model of Data Literacy Education in Universities Based on Multi-Subjects

在文献调研和问卷调查的基础上,分析国内现有数据素养教育主体、环境、模式特征以及影响高校学生数据技能的因素。研究显示,开放数据环境下高校学生的数据需求和提升途径具有个性化和多样化的特点,且教育资源与教育途径对学生数据素养的提升具有显著影响。文章借鉴教育生态学理论构建分层级、多样化的数据素养教育生态模式以加强数据素养教育资源的投入和途径选择,为后续我国高校图书馆信息素养教育转型和数据素养教育研究提供理论支撑和借鉴。

On the basis of literature research and questionnaire survey, the paper analyzes the subject, environment and model characteristics of the data literacy education in China, as well as the influencing factors of data skills of college students. The research shows that the data needs and promotion approaches of college students in the open data environment are personalized and diversified, and educational resources and pathways have a significant impact on the improvement of student data literacy. The paper draws on the theory of educational ecology to build a hierarchical and diversified ecological model of data literacy education to strengthen the input and path choice of data literacy education resources, thus to provide theoretical support and reference for the subsequent development of information literacy education transformation and data literacy education research in Chinese university libraries.