Cited by 127Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive LearningStudent Assessment and Feedback

Student profiling in a dispositional learning analytics application using formative assessment

Open access
Tempelaar, Dirk, Rienties, Bart, Mittelmeier, Jenna, Nguyen, Quan·2018·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2017.08.010

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

The text we found for this paper looks like another document, so its claims and self-check weren’t run. The registry and citation checks still apply.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

Cites

Flagged first, then by citations

1 of the 55 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Tempelaar, D., Rienties, B., Mittelmeier, J., & Nguyen, Q.
Affiliations
  • Maastricht University (NL)
  • The Open University (GB)
Corresponding author
Tempelaar, Dirk
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2018-01
Volume
78
Pages
408-420
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2743726230
Cited by
122
References
55
Citations by year
2026: 5 · 2025: 14 · 2024: 9 · 2023: 11 · 2022: 16 · 2021: 15 · 2020: 19 · 2019: 22 · 2018: 10 · 2016: 1
FWCI
16.72
Type
journal article
Language
en
Locations
  • Computers in Human Behavior (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion, cc-by-nc-nd)
  • Open Research Online (The Open University) (acceptedVersion)
  • Research Publications (Maastricht University) (submittedVersion)
Funders
SURF-Foundation (20150707-5-001-DARI-MIHO)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Education › Student Assessment and Feedback
Keywords
student profiling, learning dispositions, formative assessment, e-tutorials, at-risk students, clustering, learning analytics, learning interventions, feedback in learning, course performance prediction

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