A theory of instruction for introductory programming skills
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Cites
Mindset: The New Psychology of Success
(2006) · Choice Reviews Online · doi:10.5860/choice.44-2397 · Cited by 7,804 · see citing works
Relationships between reading, tracing and writing skills in introductory programming
Lopez, M., Whalley, J., Robbins, P., & Lister, R. (2008) · Proceedings of the Fourth international Workshop on Computing Education Research · doi:10.1145/1404520.1404531 · Cited by 363 · see citing works
Programming, 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
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Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models
Sarsa, S., Denny, P., Hellas, A., & Leinonen, J. (2022) · Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1 · doi:10.1145/3501385.3543957 · Cited by 497 · see citing works
Becker, B. A., Denny, P., Finnie-Ansley, J., Luxton-Reilly, A., Prather, J., & Santos, E. A. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 · doi:10.1145/3545945.3569759 · Cited by 401 · see citing works
The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers
Prather, J., Reeves, B. N., Leinonen, J., MacNeil, S., Randrianasolo, A. S., Becker, B. A., Kimmel, B., Wright, J., & Briggs, B. (2024) · Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1 · doi:10.1145/3632620.3671116 · Cited by 196 · see citing works
“The theory of programming instruction by Xie et al. [69] states that student learning should start at the code reading and tracing level and then move down into code writing.”
My AI Wants to Know if This Will Be on the Exam: Testing OpenAI’s Codex on CS2 Programming Exercises
Finnie-Ansley, J., Denny, P., Luxton-Reilly, A., Santos, E. A., Prather, J., & Becker, B. A. (2023) · Proceedings of the 25th Australasian Computing Education Conference · doi:10.1145/3576123.3576134 · Cited by 186 · 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-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
Self-citationThe Effects of Worked-Out Example and Metacognitive Scaffolding on Problem-Solving Programming
Shin, Y., Jung, J., Zumbach, J., & Yi, E. (2023) · Journal of Educational Computing Research · doi:10.1177/07356331231174454 · Cited by 18 · see citing works
AI-Generated Code Not Considered Harmful
Kendon, T., Wu, L., & Aycock, J. (2023) · Proceedings of the 25th Western Canadian Conference on Computing Education · doi:10.1145/3593342.3593349 · Cited by 13 · see citing works
Jung, J., Shin, Y., Chung, H., & Fanguy, M. (2025) · Journal of Computing in Higher Education · doi:10.1007/s12528-024-09407-3 · Cited by 11 · see citing works
The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers
Prather, J., Reeves, B., Leinonen, J., MacNeil, S., Randrianasolo, A. S., Becker, B., Kimmel, B., Wright, J., & Briggs, B. (2024) · arXiv · Cited by 196 · see citing works
“The theory of programming instruction by Xie et al. [69] states that student learning should start at the code reading and tracing level and then move down into code writing.”
Wu, M., & Ouyang, F. (2026) · Educational Psychology Review · doi:10.1007/s10648-026-10211-x
- Authors
- Xie, B., Loksa, D., Nelson, G. L., Davidson, M. J., Dong, D., Kwik, H., Tan, A. H., Hwa, L., Li, M., & Ko, A. J.
- Venue
- Computer Science Education
- Publisher
- Informa UK Limited
- Published
- 2019-01-25
- Volume
- 29
- Issue
- 2-3
- Pages
- 205-253
- ISSN
- 0899-3408
- 1744-5175
- Cited by
- 148
- References
- 3
- Language
- en
- Funders
- National Science Foundation (1703304, 1735123, 1829590, 12566082, 1639576, 1314399)
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