No Cover Image

Journal article 461 views 52 downloads

Adopting Learning Analytics to Inform Postgraduate Curriculum Design: Recommendations and Research Agenda

Denis Dennehy Orcid Logo, Kieran Conboy, Jaganath Babu

Information Systems Frontiers

Swansea University Author: Denis Dennehy Orcid Logo

  • 59526.pdf

    PDF | Version of Record

    This article is licensed under a Creative Commons Attribution 4.0 International License

    Download (1.05MB)

Check full text

DOI (Published version): 10.1007/s10796-021-10183-z

Abstract

Understanding student sentiment plays a vital role in understanding the changes that could or should be made in curriculum design at university. Learning Analytics (LA) has shown potential for improving student learning experiences and supporting teacher inquiry. Yet, there is limited research that...

Full description

Published in: Information Systems Frontiers
ISSN: 1387-3326 1572-9419
Published: Springer Science and Business Media LLC 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa59526
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract: Understanding student sentiment plays a vital role in understanding the changes that could or should be made in curriculum design at university. Learning Analytics (LA) has shown potential for improving student learning experiences and supporting teacher inquiry. Yet, there is limited research that reports on the adoption and actual use of LA to support teacher inquiry. This four-year longitudinal study captures sentiment of postgraduate students at a university in Ireland, by integrating LA with the steps of teacher inquiry. This study makes three important contributions to teaching and learning literature. First, it reports on the use of LA to support teacher inquiry over four one-year cycles of a Master of Science in Business Analytics programme between 2016 and 2020. Second, it provides evidence-based recommendations on how to optimise LA to support teacher inquiry, with specific attention as to how these can improve the assimilation of LA into the curriculum design and delivery. Third, the paper concludes with a research agenda to help improve the adoption and integration of LA in the future.
Keywords: Learning analytics; Sentiment analysis; Business analytics; Curriculum design; Adoption
College: Faculty of Humanities and Social Sciences
Funders: The IReL Consortium

Similar Items