Predictive Learning Analytics "At Scale": Towards Guidelines to Successful Implementation in Higher Education Based on the Case of the Open University UK

被引：30

作者：

Herodotou, Christothea ^{[1
]}

Rienties, Bart ^{[1
]}

Verdin, Barry ^{[1
]}

Boroowa, Avinash ^{[1
]}

机构：

[1] Open Univ, Walton Hall, Milton Keynes MK7 6AA, Bucks, England

来源：

JOURNAL OF LEARNING ANALYTICS | 2019年 / 6卷 / 01期

关键词：

Predictive learning analytics; higher education; distance education; management; guidelines; adoption; RESISTANCE; ENGAGEMENT;

D O I：

10.18608/jla.2019.61.5

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders (i.e., managers, teachers, students) about PLA. This paper presents an "at scale" implementation of PLA at a distance learning higher education institution and details, in particular, the perspectives of 20 educational managers involved in the implementation. It concludes with a set of recommendations about how best to adopt and apply large-scale PLA initiatives in higher education.

引用

页码：85 / 95

页数：11

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