Cited by 306Intelligent Tutoring Systems and Adaptive LearningOnline Learning and AnalyticsInnovative Teaching and Learning Methods

Systematic review of adaptive learning research designs, context, strategies, and technologies from 2009 to 2018

Martin, Florence, Chen, Yan, Moore, Robert L., Westine, Carl D.·2020·Educational Technology Research and Development

Integrity signals

Registry

Crossref · 10.1007/s11423-020-09793-2

Cites

59 of 59 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?

  • AI has showcased its ability to cater to individual student needs, offering tailored curricula and adaptive assessments.

    “Through supporting personalised learning experiences, AI has showcased its ability to cater to individual student needs, offering tailored curricula and adaptive assessments (Brusilovsky, 1996;Hemmler & Ifenthaler, 2022;Jones & Winne, 1992;Martin et al., 2020).”

Cites

Flagged first, then by citations

4 of the 63 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Martin, F., Chen, Y., Moore, R. L., & Westine, C. D.
Affiliations
  • University of North Carolina at Charlotte (US)
  • University of New Mexico (US)
  • Old Dominion University (US)
Corresponding author
Westine, Carl D.
Venue
Educational Technology Research and Development
Published
2020-06-15
Volume
68
Issue
4
Pages
1903-1929
ISSN
  • 1042-1629 (ISSN-L)
  • 1556-6501
OpenAlex
W3036177938
Cited by
306
References
63
Citations by year
2026: 78 · 2025: 87 · 2024: 66 · 2023: 31 · 2022: 29 · 2021: 13 · 2020: 2
FWCI
0.60
Type
journal article
Language
en
Open access
closed
Locations
  • Educational Technology Research and Development (publishedVersion)
  • ODU Digital Commons (Old Dominion University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
Keywords
adaptive learning, adaptive learning systems, adaptive learning strategies, student model, adaptive feedback, adaptive navigation, learning styles, personalized learning, higher education, instructional design, research gaps

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 ›

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