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

The DOI matches its Crossref record; 42 of the 45 references it cites were found in a registry or an index.

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

Cites

42 of 42 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 45 references

Research works printed but not linked: 11

  1. Baijnath N., 2015, Learning Africa Conference
  2. Blythe S., 2009, Exploring options for students at the boundaries of the" at-risk" designation, WPA: Writing Program Administration-Journal of the Council of Writing Program Administrators, 33, 9
  3. El-Khawas E., 2000, S. Schwarz & U, 45
  4. Griffiths D. Drachsler H. Kickmeier-Rust M. Hoel T. & Greller W. (2016). Is privacy a show-stopper for learning analytics? A review of current issues and solutions. Learning Analytics Review 6. LACE. Retrieved from http://www.laceproject.eu/learning-analytics-review/is-privacy-a-show-stopper/ Griffiths D. Drachsler H. Kickmeier-Rust M. Hoel T. & Greller W. (2016). Is privacy a show-stopper for learning analytics? A review of current issues and solutions. Learning Analytics Review 6. LACE. Retrieved from http://www.laceproject.eu/learning-analytics-review/is-privacy-a-show-stopper/
  5. Kogan M., 2000, S. Schwarz & U, 25
  6. Patton MC. 2008. Utilization-focused evaluation. {4th edition}. London UK: Sage. Patton MC. 2008. Utilization-focused evaluation. {4th edition}. London UK: Sage.
  7. Prinsloo, 2016, Jan Botha & Nicole Muller (Eds.), Institutional Research in support of evidence-based decision-making in Higher Education in Southern Africa (pp. 331--353). Stellenbosch
  8. Prinsloo P. (2016b October 5). The increasing (im)possibilities of justice and care in open distance learning. Presentation at EDEN Research Workshop Oldenburg Germany. Retrieved from http://www.slideshare.net/prinsp/the-increasing-impossibilities-of-justice-and-care-in-open-distance-learning Prinsloo P. (2016b October 5). The increasing (im)possibilities of justice and care in open distance learning. Presentation at EDEN Research Workshop Oldenburg Germany. Retrieved from http://www.slideshare.net/prinsp/the-increasing-impossibilities-of-justice-and-care-in-open-distance-learning
  9. Prinsloo P., 2016, Developing Effective Educational Experiences through Learning Analytics (pp. 174--192).
  10. 10.3102/00346543045001089 · DOI · Paper page
  11. Wolff A., 2014, Workshop: Machine Learning and Learning. Presented at the Learning Analytics and Knowledge

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Metadata

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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