Cited by 88Teaching and Learning ProgrammingEducational Games and GamificationGender and Technology in Education

The development of students’ computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis

Asbell-Clarke, J., Rowe, E., Almeda, V., Edwards, T., Bardar, E., Gasca, S., Baker, R.S., Scruggs, R.·2021·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2020.106587

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

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Claims other papers make about this one

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Cites

Flagged first, then by citations

Authors
Asbell-Clarke, J., Rowe, E., Almeda, V., Edwards, T., Bardar, E., Gasca, S., Baker, R. S., & Scruggs, R.
Affiliations
University of Pennsylvania (US)
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2021-02
Volume
115
Pages
106587
ISSN
0747-5632 (ISSN-L)
OpenAlex
W3091929105
Cited by
88
References
2
Citations by year
2026: 14 · 2025: 21 · 2024: 14 · 2023: 18 · 2022: 15 · 2021: 6
FWCI
8.55
Type
journal article
Language
en
Open access
closed
Locations
Computers in Human Behavior (publishedVersion)
Funders
National Science Foundation
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
  • Social Sciences › Psychology › Developmental and Educational Psychology › Educational Games and Gamification
  • Social Sciences › Gender Studies › Gender and Technology in Education
Keywords
computational thinking, game-based learning, elementary school students, junior high school students, classroom activities, implicit assessment, educational data mining

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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.

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