The effectiveness of partial pair programming on elementary school students’ Computational Thinking skills and self-efficacy
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Pair programming can lead to higher levels of student satisfaction and reduced frustration compared to individual programming tasks.
“Studies have shown that pair programming can lead to higher levels of student satisfaction and reduced frustration compared to individual programming tasks (Wei et al., 2021).”
Cites
What is coefficient alpha? An examination of theory and applications
Cortina, J. M. (1993) · Journal of Applied Psychology · doi:10.1037/0021-9010.78.1.98 · Cited by 8,810 · see citing works
Grit: perseverance and passion for long-term goals
Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.92.6.1087 · Cited by 6,911 · see citing works
The Construction of Shared Knowledge in Collaborative Problem Solving.
Roschelle, J., & Teasley, S. D. (1995) · Computer Supported Collaborative Learning · doi:10.1007/978-3-642-85098-1_5 · Cited by 2,274 · see citing works
Hsu, T.-C., Chang, S.-C., & Hung, Y.-T. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.07.004 · Cited by 788 · see citing works
Hsia, L.-H., Huang, I., & Hwang, G.-J. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.02.004 · Cited by 170 · see citing works
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Yilmaz, R., & Karaoglan Yilmaz, F. G. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100147 · Cited by 745 · see citing works
Huang, X., & Qiao, C. (2024) · Science & Education · doi:10.1007/s11191-022-00392-6 · Cited by 116 · see citing works
Fan, G., Liu, D., Zhang, R., & Pan, L. (2025) · International Journal of STEM Education · doi:10.1186/s40594-025-00537-3 · Cited by 109 · see citing works
“Studies have shown that pair programming can lead to higher levels of student satisfaction and reduced frustration compared to individual programming tasks (Wei et al., 2021).”
Zhao, G., Yang, L., Hu, B., & Wang, J. (2025) · Journal of Educational Computing Research · doi:10.1177/07356331251336154 · Cited by 27 · see citing works
Zhang, L., Jiang, Q., Xiong, W., & Zhao, W. (2025) · Journal of Educational Computing Research · doi:10.1177/07356331251333874 · Cited by 15 · see citing works
- Authors
- Wei, X., Lin, L., Meng, N., Tan, W., Kong, S.-C., & Kinshuk
- Affiliations
- Ludong University (CN)
- University of North Texas (US)
- Education University of Hong Kong (HK)
- Corresponding author
- Wei, Xuefeng
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 160
- Pages
- 104023
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W3090152186
- Cited by
- 241
- References
- 5
- Citations by year
- 2026: 27 · 2025: 38 · 2024: 65 · 2023: 49 · 2022: 42 · 2021: 19 · 2020: 1
- FWCI
- 25.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Funders
- Chinese National Funding of Social Sciences
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Social Sciences › Gender Studies › Gender and Technology in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Robotics and Engineering
- Keywords
- computational thinking, self-efficacy, elementary school students, Scratch, collaborative programming, fourth grade
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.
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