Critical Data Studies, Abstraction & Learning Analytics: Editorial to Selwyn's LAK keynote and invited commentaries

IF 2.9 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Learning Analytics Pub Date : 2019-01-01 DOI:10.18608/jla.2019.63.2
S. B. Shum
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引用次数: 6

Abstract

This editorial introduces a special section of the Journal of Learning Analytics, for which Neil Selwyn’s keynote address to LAK ’18 has been written up as an article, “What’s the problem with learning analytics?” His claims and arguments are engaged in commentaries from Alfred Essa, Rebecca Ferguson, Paul Prinsloo, and Carolyn Rosé, who provide diverse perspectives on Selwyn’s proposals and arguments, from applause to refutation. Reflecting on the debate, I note some of the tensions to be resolved for learning analytics and social science critiques to engage productively, observing that central to the debate is how we understand the role of abstraction in the analysis of data about teaching and learning, and hence the opportunities and risks this entails.
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关键数据研究,抽象和学习分析:Selwyn LAK主题演讲和特邀评论的编辑
这篇社论介绍了《学习分析》杂志的一个特别部分,Neil Selwyn在LAK ' 18上的主题演讲已经被写成了一篇文章,“学习分析的问题是什么?”他的主张和论点被阿尔弗雷德·艾萨、丽贝卡·弗格森、保罗·普林斯露和卡罗琳·罗斯维尔的评论所参与,他们对塞尔温的建议和论点提供了不同的观点,从掌声到反驳。在反思这场辩论时,我注意到一些需要解决的紧张关系,以便学习分析和社会科学批评能够有效地参与,并观察到辩论的核心是我们如何理解抽象在教学和学习数据分析中的作用,以及由此带来的机会和风险。
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来源期刊
Journal of Learning Analytics
Journal of Learning Analytics Social Sciences-Education
CiteScore
7.40
自引率
5.10%
发文量
25
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