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Predictive learning analytics ‘at scale’: Guidelines to successful implementation in Higher Education based on the case of the Open University UK

Herodotou, Christothea; Rienties, Bart; Verdin, Barry and Boroowa, Avinash (2019). Predictive learning analytics ‘at scale’: Guidelines to successful implementation in Higher Education based on the case of the Open University UK. Journal of Learning Analytics, 6(1) pp. 85–95.

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DOI (Digital Object Identifier) Link: https://doi.org/10.18608/jla.2019.61.5
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Abstract

Predictive Learning Analytics (PLAs) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known as to how best to integrate and scaffold PLAs initiatives in Higher Education institutions. Towards this end, it becomes essential to capture and analyse the perceptions of relevant educational stakeholders (i.e., managers, teachers, students) about PLAs. This paper presents an ‘at scale’ implementation of PLAs 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 at large-scale PLAs initiatives in Higher Education.

Item Type: Journal Item
ISSN: 1929-7750
Keywords: Predictive learning analytics; Higher Education; distance learning; management, guidelines; adoption
Academic Unit/School: Faculty of Wellbeing, Education and Language Studies (WELS)
Other Departments > Other Departments
Other Departments
Item ID: 58991
Depositing User: Christothea Herodotou
Date Deposited: 04 Feb 2019 09:59
Last Modified: 13 Nov 2019 14:17
URI: http://oro.open.ac.uk/id/eprint/58991
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