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.

DOI: https://doi.org/10.18608/jla.2019.61.5

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.

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About

• Item ORO ID
• 58991
• Item Type
• Journal Item
• ISSN
• 1929-7750
• Keywords
• Predictive learning analytics; Higher Education; distance learning; management, guidelines; adoption
• Academic Unit or School
• Institute of Educational Technology (IET)
  Other Departments > Other Departments
  Other Departments
• Depositing User
• Christothea Herodotou