Critical datafication literacy – a framework for educating about datafication

IF 1.6 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Ina Sander
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引用次数: 0

Abstract

Purpose In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches – media literacy, the German “(politische) Bildung” and Freirean “critical pedagogy” – and empirical analyses of online educational resources about datafication. Design/methodology/approach The study interconnects theoretical analyses with an empirical mixed methods investigation that includes expert interviews with creators of online educational resources about datafication and a qualitative survey with educators interested in teaching about data technologies. Findings The research identified novel findings on the goals of resource creators and educators, such as a focus on empowering and emancipatory approaches, fostering systemic understanding of datafication and encouraging collective action. Such perspectives are rare in existing critical data literacy conceptualisations but show resemblance to traditional education scholarship. This highlights how much can be learnt from practitioners and from these more established educational approaches. Based on these findings, a framework for critical datafication literacy is suggested that aims for systemic understanding of datafication, encouraging critical thinking and enabling learners to make enlightened choices and take different forms of action. Originality/value The study is unique in its interconnection of theoretical and empirical research, and it advances previous research by suggesting a grounded framework for critical datafication literacy.
关键数据化素养--数据化教育框架
目的 鉴于需要对数据化开展更多的批判性教育,本文旨在制定一个以理论和实证研究为基础的批判性数据化素养框架。该框架借鉴了现有的批判性数据素养,对媒体素养、德国"(政治)教育 "和弗莱雷 "批判教育学 "这三种成熟的教育方法进行了深入分析,并对有关数据化的在线教育资源进行了实证分析。 设计/方法/途径 本研究将理论分析与实证混合方法调查相结合,其中包括对数据化在线教育资源创建者的专家访谈,以及对数据技术教学感兴趣的教育工作者的定性调查。 研究结果 研究发现了有关资源创建者和教育者目标的新发现,如注重赋权和解放方法、促进对数据化的系统理解以及鼓励集体行动。这些观点在现有的批判性数据扫盲概念中并不多见,但与传统的教育学术研究有相似之处。这凸显了可以从实践者和这些更为成熟的教育方法中学到多少东西。基于这些发现,我们提出了一个批判性数据化素养框架,旨在系统地理解数据化,鼓励批判性思维,使学习者能够做出明智的选择并采取不同形式的行动。 原创性/价值 本研究将理论研究与实证研究相互结合,是一项独特的研究,它提出了一个批判性数据化素养的基础框架,从而推进了以往的研究。
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来源期刊
Information and Learning Sciences
Information and Learning Sciences INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
9.50
自引率
2.90%
发文量
30
期刊介绍: Information and Learning Sciences advances inter-disciplinary research that explores scholarly intersections shared within 2 key fields: information science and the learning sciences / education sciences. The journal provides a publication venue for work that strengthens our scholarly understanding of human inquiry and learning phenomena, especially as they relate to design and uses of information and e-learning systems innovations.
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