Predictive Learning Analytics 'At Scale': Guidelines to Successful Implementation in Higher Education
Item
Title
Predictive Learning Analytics 'At Scale': Guidelines to Successful Implementation in Higher Education
Abstract/Description
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.
Author/creator
Date
In publication
Volume
6
Issue
1
Pages
85-95
Resource type
Research/Scholarly Media
Resource status/form
Published Text
Scholarship genre
Empirical
Keywords
Open access/full-text available
Yes
Peer reviewed
Yes
ISSN
1929-7750
Citation
Herodotou, C., Rienties, B., Verdin, B., & Boroowa, A. (2019). Predictive Learning Analytics “At Scale”: Guidelines to Successful Implementation in Higher Education. Journal of Learning Analytics, 6(1), Article 1. https://doi.org/10.18608/jla.2019.61.5
Rights
Copyright (c) 2019 Journal of Learning Analytics
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