Cited by 124Online Learning and AnalyticsBig Data and Business IntelligenceEducational and Technological Research

Are Higher Education Institutions Prepared for Learning Analytics?

Ifenthaler, Dirk·2017·TechTrends

Integrity signals

Registry

Crossref · 10.1007/s11528-016-0154-0

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Higher education institutions may not be prepared to deal with unsolved issues such as ethics and privacy, assessment practices, and the competent use of AI for teaching and learning.

    “Facing rapid and complex developments, such as AI, higher education institutions may not be prepared to deal with unsolved issues, such as ethics and privacy, assessment practices, and the competent use of AI for teaching and learning (Ifenthaler, 2017; Kohnke et al., 2023).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ifenthaler, D.
Affiliations
University of Mannheim (DE)
Corresponding author
Ifenthaler, Dirk
Venue
TechTrends
Published
2016-12-19
Volume
61
Issue
4
Pages
366-371
ISSN
  • 1559-7075 (ISSN-L)
  • 8756-3894
OpenAlex
W2565923739
Cited by
124
References
23
Citations by year
2026: 4 · 2025: 6 · 2024: 9 · 2023: 27 · 2022: 15 · 2021: 14 · 2020: 21 · 2019: 15 · 2018: 11 · 2017: 2
FWCI
12.45
Type
journal article
Language
en
Open access
closed
Locations
TechTrends (publishedVersion)
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 › Educational and Technological Research
Keywords
learning analytics, higher education institutions, institutional readiness, staff preparedness, data sources, learning analytics framework, predictive analytics, real-time analytics, educational technology adoption

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review