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Journal of Computing in Higher Education

Erschienen in:

13.03.2019

Technological barriers and incentives to learning analytics adoption in higher education: insights from users

verfasst von: Carrie Klein, Jaime Lester, Huzefa Rangwala, Aditya Johri

Erschienen in: Journal of Computing in Higher Education | Ausgabe 3/2019

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Abstract

Learning analytics (LA) tools promise to improve student learning and retention. However, adoption and use of LA tools in higher education is often uneven. In this case study, part of a larger exploratory research project, we interviewed and observed 32 faculty and advisors at a public research university to understand the technological incentives and barriers related to LA tool adoption and use. Findings indicate that lack of a trustworthy technological infrastructure, misalignment between LA tool capabilities and user needs, and the existence of ethical concerns about the data, visualizations, and algorithms that underlie LA tools created barriers to adoption. Improving tool integration, clarity, and accuracy, soliciting the technological needs and perspectives of LA tool users, and providing data context may encourage inclusion of these tools into teaching and advising practice.

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Titel: Technological barriers and incentives to learning analytics adoption in higher education: insights from users
verfasst von: Carrie Klein
Jaime Lester
Huzefa Rangwala
Aditya Johri
Publikationsdatum: 13.03.2019
Verlag: Springer US
Erschienen in: Journal of Computing in Higher Education / Ausgabe 3/2019
Print ISSN: 1042-1726
Elektronische ISSN: 1867-1233
DOI: https://doi.org/10.1007/s12528-019-09210-5

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