Cited by 183Educational Robotics and EngineeringTeaching and Learning ProgrammingMechatronics Education and Applications

A systematic review on teaching and learning robotics content knowledge in K-12

Xia, Liying, Zhong, Baichang·2018·Computers & Education

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2018.09.007

Cites

3 of 3 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

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

  • Xia and Zhong (2018) used the snowballing approach to identify papers.

    “The recent review study by Xia and Zhong (2018) used the ''snowballing approach'' to identify the papers.”

    From A Systematic Review of Studies on Educational Robotics (2019) · cites this paper as Xia & Zhong, 2018

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Authors
Xia, L., & Zhong, B.
Affiliations
Nanjing Normal University (CN)
Corresponding author
Zhong, Baichang
Venue
Computers & Education
Publisher
Elsevier BV
Published
2018-12
Volume
127
Pages
267-282
ISSN
0360-1315 (ISSN-L)
OpenAlex
W2891780699
Cited by
183
References
3
Citations by year
2026: 24 · 2025: 11 · 2024: 22 · 2023: 36 · 2022: 35 · 2021: 25 · 2020: 22 · 2019: 8
FWCI
1.60
Type
journal article
Language
en
Open access
closed
Locations
Computers & Education (publishedVersion)
Funders
  • Nanjing Normal University
  • Priority Academic Program Development of Jiangsu Higher Education Institutions
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Educational Robotics and Engineering
  • Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
  • Physical Sciences › Engineering › Mechanical Engineering › Mechatronics Education and Applications
Keywords
robotics education, K-12 education, LEGO robots, elementary school students, instructional design, pedagogy, learning outcomes, 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.

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