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

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...

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Detalles Bibliográficos
Autores principales: Dennehy, Denis, Conboy, Kieran, Babu, Jaganath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397133/
https://www.ncbi.nlm.nih.gov/pubmed/37546703
http://dx.doi.org/10.1007/s10796-021-10183-z
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author Dennehy, Denis
Conboy, Kieran
Babu, Jaganath
author_facet Dennehy, Denis
Conboy, Kieran
Babu, Jaganath
author_sort Dennehy, Denis
collection PubMed
description 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.
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spelling pubmed-103971332023-08-04 Adopting Learning Analytics to Inform Postgraduate Curriculum Design: Recommendations and Research Agenda Dennehy, Denis Conboy, Kieran Babu, Jaganath Inf Syst Front Article 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. Springer US 2021-08-13 2023 /pmc/articles/PMC10397133/ /pubmed/37546703 http://dx.doi.org/10.1007/s10796-021-10183-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Dennehy, Denis
Conboy, Kieran
Babu, Jaganath
Adopting Learning Analytics to Inform Postgraduate Curriculum Design: Recommendations and Research Agenda
title Adopting Learning Analytics to Inform Postgraduate Curriculum Design: Recommendations and Research Agenda
title_full Adopting Learning Analytics to Inform Postgraduate Curriculum Design: Recommendations and Research Agenda
title_fullStr Adopting Learning Analytics to Inform Postgraduate Curriculum Design: Recommendations and Research Agenda
title_full_unstemmed Adopting Learning Analytics to Inform Postgraduate Curriculum Design: Recommendations and Research Agenda
title_short Adopting Learning Analytics to Inform Postgraduate Curriculum Design: Recommendations and Research Agenda
title_sort adopting learning analytics to inform postgraduate curriculum design: recommendations and research agenda
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397133/
https://www.ncbi.nlm.nih.gov/pubmed/37546703
http://dx.doi.org/10.1007/s10796-021-10183-z
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