Cited by 193Cognitive Abilities and TestingDevelopmental and Educational NeuropsychologyCognitive and developmental aspects of mathematical skills

Computerized working memory training: Can it lead to gains in cognitive skills in students?

Alloway, Tracy Packiam, Bibile, Vanessa, Lau, Gemma·2013·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2012.10.023

Cites

Statistics

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

Claims the paper makes

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References 48 · Cited by 193

Authors
Alloway, T. P., Bibile, V., & Lau, G.
Affiliations
  • University of North Florida (US)
  • University of Stirling (GB)
Corresponding author
Alloway, Tracy Packiam
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2013-05
Volume
29
Issue
3
Pages
632-638
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2057564797
Cited by
193
References
48
Citations by year
2026: 8 · 2025: 9 · 2024: 6 · 2023: 9 · 2022: 23 · 2021: 11 · 2020: 15 · 2019: 24 · 2018: 7 · 2017: 19 · 2016: 19 · 2015: 21 · 2014: 13 · 2013: 7 · 2012: 2
FWCI
27.04
Type
journal article
Language
en
Update notices
erratum (2014-05-01)
Open access
closed
Locations
  • Computers in Human Behavior (publishedVersion)
  • University of North Florida Digital Commons (University of North Florida) (submittedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
  • Physical Sciences › Mathematics › Statistics and Probability › Cognitive and developmental aspects of mathematical skills
Keywords
working memory training, computer-based training, far transfer, near transfer, exercise frequency, maintenance effects, verbal ability, nonverbal ability, spelling, academic performance, struggling students, cognitive skills

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.

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