Session 73: Engagement analytics to support student engagement and continuation

Authors

  • Phil Rothwell Liverpool John Moores University, Teaching & Learning Academy
  • Caroline Robson Liverpool John Moores University, Strategy Support Office
  • Malarvizhi Ram Liverpool John Moores University, Strategy Support Office
  • Sarah Maclennan Liverpool John Moores University, Faculty of Arts, Professional & Social Studies
  • Iona Horsburgh Liverpool John Moores University, Student Experience

DOI:

https://doi.org/10.24377/studentexp2677

Abstract

As the amount of data being created by universities increases Learning Analytics is, in turn, becoming more multifaceted and complex. How we define engagement and disengagement by students is complex, though important to understand if we are to help support student continuation. This presentation will outline the results of a staff consultation and survey, combined with large scale predictive analytics from several systems in order to establish which factors can most reliably predict a student is beginning to disengage from their studies and are at risk of discontinuing.

As important as using data in this manner is ensuring that any insights are actionable, and the data is made available to the most appropriate people to support students to arrest any further slippage in engagement. We will demonstrate a dashboard of the data and suggest possible interventions for staff to put in place for students to be supported to remain a member of their community of learning. In addition to this we will provide support around the data fluency for those engaging with the analytics insights.

This project is a collaboration between the LJMU academic community, Teaching and Learning Academy, Strategy Support Office, Academic Registry, and Senior Strategic Project Manager Student Experience, and reflects an institution wide approach in the use of data to support student continuation and the student experience.

Students at the Heart Conference 12/13 June 2024

Published

2024-07-18

Issue

2024: Students at the Heart Conference

Section

Presentations

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Authors retain copyright and grant the publication right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this publication.