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Cited by 171Online Learning and AnalyticsEducational and Technological ResearchBig Data and Business Intelligence

An elephant in the learning analytics room: the obligation to act

Prinsloo, Paul, Slade, Sharon·2017·Proceedings of the Seventh International Learning Analytics & Knowledge Conference
DOI 10.1145/3027385.3027406
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Abstract

As higher education increasingly moves to online and digital learning spaces, we have access not only to greater volumes of student data, but also to increasingly fine-grained and nuanced data. A significant body of research and existing practice are used to convince key stakeholders within higher education of the potential of the collection, analysis and use of student data to positively impact on student experiences in these environments. Much of the recent focus in learning analytics is around predictive modeling and uses of artificial intelligence to both identify learners at risk, and to personalize interventions to increase the chance of success.

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Crossref · 10.1145/3027385.3027406

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42 of 42 references verified0 citation errors · 0 not checkable

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  • An experimental philosophical study found a broad consensus among university teachers that universities should provide AI educational tools, especially to support first-generation students and those with learning disabilities.

    “An experimental philosophical study (McGrath et al., 2023) of university teachers' perceptions of responsibility and AI in higher education found a broad consensus among participants that universities should provide AI educational tools, especially to support first-generation students and those with learning disabilities, reflecting a commitment to equity and fairness, as argued by Prinsloo and Sl”

    From Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs (2024) · cites this paper as Prinsloo and Slade, 2017

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Authors
Prinsloo, P., & Slade, S.
Affiliations
  • University of South Africa (ZA)
  • The Open University (GB)
ORCID
Venue
Proceedings of the Seventh International Learning Analytics & Knowledge Conference
Publisher
ACM
Published
2017-03-13
Pages
46-55
DOI
10.1145/3027385.3027406
OpenAlex
W2592547188
Cited by
171
References
45
Citations by year
2026: 41 · 2025: 26 · 2024: 12 · 2023: 19 · 2022: 17 · 2021: 17 · 2020: 14 · 2019: 14 · 2018: 6 · 2017: 5
FWCI
9.83
Type
conference paper
Language
en
Open access
closed
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
  • International Conference on Learning Analytics and Knowledge (LAK) (publishedVersion)
  • Open Research Online - ORO (The Open University) (acceptedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Physical Sciences › Computer Science › Information Systems › Educational and Technological Research
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
Keywords
learning analytics, student data, higher education, online learning, predictive modeling, artificial intelligence, at-risk students, personalized interventions, student success, student experience

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