Getting By With Help From My Friends: Group Study in Introductory Programming Understood as Socially Shared Regulation
Open accessAbstract
Background and Context. Metacognitive skills are important for all students learning to program and interest in applying pedagogical approaches in early programming courses that focus on metacognitive aspects is growing. However, most studies of such approaches are not rigorously based in theory, and when they are, almost always utilize foundational education and psychology theories from as far back as the 1970s. More recent theory is less tested, and not all relevant metacognitive theories have been explored in the computing education research literature.
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Still others utilized Copilot like a colleague who can help when stuck, matching the idea of Copilot as an AI pair programmer.
“Still others utilized the system like a colleague who can help them when stuck, a behavior previously documented between students co-regulating their learning in study groups [69], and which matches the idea of Copilot being 'your AI pair programmer.'”
From “It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers (2024) · cites this paper as [69]
Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works
Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry
Flavell, J. H. (1979) · American Psychologist · doi:10.1037/0003-066x.34.10.906 · Cited by 11,282 · cited 1× · see citing works
“The first comes from Flavell in 1979 [19], which he described as cognition that regulates any aspect of cognitive control.”
BackgroundBielaczyc, K., Pirolli, P. L., & Brown, A. L. (1995) · Cognition and Instruction · doi:10.1207/s1532690xci1302_3 · Cited by 422 · see citing works
100 Questions (and Answers) About Qualitative Research
Given, L. M. (2016) · doi:10.4135/9781483398655 · Cited by 309 · cited 1× · see citing works
“We applied a similar interpretation to that of Given [22], with saturation being the point at which ‘additional data do not lead to any new emergent themes’.”
MethodProgramming, Problem Solving, and Self-Awareness: Effects of Explicit Guidance
Loksa, D., Ko, A. J., Jernigan, W., Oleson, A., Mendez, C. J., & Burnett, M. M. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858252 · Cited by 223 · see citing works
Metacognition and Self-Regulation in Programming Education: Theories and Exemplars of Use
Loksa, D., Margulieux, L., Becker, B. A., Craig, M., Denny, P., Pettit, R., & Prather, J. (2022) · ACM Transactions on Computing Education · doi:10.1145/3487050 · Cited by 140 · see citing works
Self-citationMangaroska, K., Sharma, K., Gašević, D., & Giannakos, M. (2022) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12590 · Cited by 100 · see citing works
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Prather, J., Reeves, B. N., Denny, P., Becker, B. A., Leinonen, J., Luxton-Reilly, A., Powell, G., Finnie-Ansley, J., & Santos, E. A. (2024) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3617367 · Cited by 256 · see citing works
“Still others utilized the system like a colleague who can help them when stuck, a behavior previously documented between students co-regulating their learning in study groups [86], and which matches the idea of Copilot being łyour AI pair programmer.”
BackgroundSelf-citationDeveloping Novice Programmers’ Self-Regulation Skills with Code Replays
Xie, B., Lim, J. O., Pham, P. K. D., Li, M., & Ko, A. J. (2023) · Proceedings of the 2023 ACM Conference on International Computing Education Research V.1 · doi:10.1145/3568813.3600127 · Cited by 18 · see citing works
"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers
Prather, J., Reeves, B. N., Denny, P., Becker, B. A., Leinonen, J., Luxton-Reilly, A., Powell, G., Finnie-Ansley, J., & Santos, E. A. (2023) · arXiv
“Still others utilized the system like a colleague who can help them when stuck, a behavior previously documented between students co-regulating their learning in study groups [86], and which matches the idea of Copilot being łyour AI pair programmer.”
BackgroundSelf-citation
- Authors
- Prather, J., Margulieux, L., Whalley, J., Denny, P., Reeves, B. N., Becker, B. A., Singh, P., Powell, G., & Bosch, N.
- Affiliations
- Abilene Christian University (US)
- Georgia State University (US)
- Auckland University of Technology (NZ)
- University of Auckland (NZ)
- University College Dublin (IE)
- University of Illinois Urbana-Champaign (US)
- ORCID
- Venue
- Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1
- Publisher
- ACM
- Published
- 2022-08-03
- Pages
- 164-176
- OpenAlex
- W4289731731
- Cited by
- 31
- References
- 7
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 7 · 2023: 12 · 2022: 1
- FWCI
- 8.48
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- ACM Conference on International Computing Education Research (ICER) (publishedVersion, cc-by-nc-sa)
- Tuwhera (Auckland University of Technology) (submittedVersion)
- Funders
- National Science Foundation (1941642)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Education › Problem and Project Based Learning
- Keywords
- group study, introductory programming, metacognition, socially shared regulation, peer learning, metacognitive skills, programming education
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