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Studying the Novice Programmer
Open accessAbstract
Parallel to the growth of computer usage in society is the growth of programming instruction in schools. This informative volume unites a wide range of perspectives on the study of novice programmers that will not only inform readers of empirical findings, but will also provide insights into how novices reason and solve problems within complex domains. The large variety of methodologies found in these studies helps to improve programming instruction and makes this an invaluable reference for researchers planning studies of their own. Topics discussed include historical perspectives, transfer, learning, bugs, and programming environments.
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Citations
Cited by
Learning and Teaching Programming: A Review and Discussion
Robins, A., Rountree, J., & Rountree, N. (2003) · Computer Science Education · doi:10.1076/csed.13.2.137.14200 · Cited by 1,736
A multi-national study of reading and tracing skills in novice programmers
Lister, R., Adams, E. S., Fitzgerald, S., Fone, W., Hamer, J., Lindholm, M., McCartney, R., Moström, J. E., Sanders, K., Seppälä, O., et al. (2004) · ACM SIGCSE Bulletin · doi:10.1145/1041624.1041673 · Cited by 575
Artificial intelligence (AI) learning tools in K-12 education: A scoping review
Yim, I. H. Y., & Su, J. (2024) · Journal of Computers in Education · doi:10.1007/s40692-023-00304-9 · Cited by 249
The Role of Self-Regulation in Programming Problem Solving Process and Success
Loksa, D., & Ko, A. J. (2016) · Proceedings of the 2016 ACM Conference on International Computing Education Research · doi:10.1145/2960310.2960334 · Cited by 143
Lister, R., Fidge, C., & Teague, D. (2009) · Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education · doi:10.1145/1562877.1562930 · Cited by 118
Metadata
- Venue
- Psychology Press eBooks
- Publisher
- Psychology Press
- Published
- 2013-12-02
- OpenAlex
- W1615097079
- Cited by
- 489
- References
- 0
- FWCI
- 26.58
- Type
- book
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.