理工科硕士生数据素养现状及影响因素的实证研究
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An Empirical Study on the Postgraduates’ Data Literacy and Its Influencing Factors in the Field of Science and Technology
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    基于社会生态系统理论,从个体和学校视角出发,实证分析理工科硕士生数据素养的现状及影响因素。结果表明:理工科硕士生数据素养的总体水平较强,在数据意识和数据伦理方面表现得更好,对数据的获取、分析、存储和展示等技能掌握得较差,且个体的年级、学习态度、学术交流、学习经验和学校的教学培训会对数据素养产生显著影响。据此,建议学生要加强对数据素养的认识,提高学习主动性;学校要开展多层次、多样化数据素养教育。

    Abstract:

    Based on social ecosystems theory, postgraduates’ data literacy and its influencing factors in the field of science and technology are analyzed from the perspective of individual and school. The results reveal that students’ data literacy is good with better awareness and ethics ,while with worse skills ,such as acquisition,analysis, storage and presentation.Besides, individual’s grade, learning attitude, academic communication, learning experience, universities’ teaching and training have positive effects on data literacy. Therefore, suggestions are put forward as the following: students should enhance their understanding of data literacy and improve their initiative in learning data skills; school should provide multi-level and diversified data literacy education according to the different demands of teaching objects.

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李舸鸣,刘继安,戚佳.理工科硕士生数据素养现状及影响因素的实证研究[J].科技与产业,2022,22(04):264-270

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  • 在线发布日期: 2022-04-15
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