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Cited by 481

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

A survey of literature on the teaching of introductory programming

Open access
Pears, Arnold, Seidman, Stephen, Malmi, Lauri, Mannila, Linda, Adams, Elizabeth, Bennedsen, Jens, Devlin, Marie, Paterson, James·2007·ACM SIGCSE Bulletin

Abstract

Three decades of active research on the teaching of introductory programming has had limited effect on classroom practice. Although relevant research exists across several disciplines including education and cognitive science, disciplinary differences have made this material inaccessible to many computing educators. Furthermore, computer science instructors have not had access to a comprehensive survey of research in this area. This paper collects and classifies this literature, identifies important work and mediates it to computing educators and professional bodies. We identify research that gives well-supported advice to computing academics teaching introductory programming. Limitations and areas of incomplete coverage of existing research efforts are also identified. The analysis applies publication and research quality metrics developed by a previous ITiCSE working group [74].

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Metadata

Authors
Pears, A., Seidman, S., Malmi, L., Mannila, L., Adams, E., Bennedsen, J., Devlin, M., & Paterson, J.
Venue
ACM SIGCSE Bulletin
Published
2007-12
Volume
39
Issue
4
Pages
204-223
ISSN
0097-8418 (ISSN-L)
OpenAlex
W2050525049
Cited by
481
References
72
FWCI
24.48
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A survey of literature on the teaching of introductory programming. https://app.cochat.ai/papers/10.1145/1345375.1345441
The paper
Pears, A., Seidman, S., Malmi, L., Mannila, L., Adams, E., Bennedsen, J., Devlin, M., & Paterson, J. (2007). A survey of literature on the teaching of introductory programming. ACM SIGCSE Bulletin. https://doi.org/10.1145/1345375.1345441

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.