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

Klein, Carrie; Lester, Jaime; Rangwala, Huzefa; Johri, Aditya

doi:10.1007/s12528-019-09210-5

Cited by 83Online Learning and AnalyticsBig Data and Business IntelligenceArtificial Intelligence in Education

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

Klein, Carrie, Lester, Jaime, Rangwala, Huzefa, Johri, Aditya·2019·Journal of Computing in Higher Education

DOI 10.1007/s12528-019-09210-5

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Klein et al. studied instructors' engagement with learning tools in a context culturally similar to ours, but conducted their study before the emergence of GenAI, leaving AI-related issues unexamined.
“Similarly, Klein et al. [65] studied instructors' engagement with learning tools in a context culturally similar to ours, but conducted their study before the emergence of GenAI, leaving AI-related issues unexamined.”
From Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education (2025) · cites this paper as [65]

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Authors: Klein, C., Lester, J., Rangwala, H., & Johri, A.
Affiliations: George Mason University (US)
Corresponding author: Klein, Carrie
ORCID: Klein, Carrie
Lester, Jaime
Rangwala, Huzefa
Johri, Aditya
Venue: Journal of Computing in Higher Education
Publisher: Springer Science and Business Media LLC
Published: 2019-03-13
Volume: 31
Issue: 3
Pages: 604-625
ISSN: 1042-1726 (ISSN-L)
1867-1233
DOI: 10.1007/s12528-019-09210-5
OpenAlex: W2921995751
Cited by: 83
References: 48
Citations by year: 2026: 7 · 2025: 13 · 2024: 16 · 2023: 18 · 2022: 10 · 2021: 11 · 2020: 7 · 2019: 1
FWCI: 7.47
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Journal of Computing in Higher Education (publishedVersion)
Funders: National Science Foundation (IIS-1447489)
Topics: Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
Keywords: learning analytics, technology adoption, higher education, technological barriers, ethical considerations, data trustworthiness, tool integration, user needs, student retention, teaching practice

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