The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Pool Halls, Chips, and War Games: Women in the Culture of Computing
Abstract
Computers are becoming ubiquitous in our society and they offer superb opportunities for people in jobs and everyday life. But there is a noticeable sex difference in use of computers among children. This article asks why computers are more attractive to boys than to girls and offers a cultural framework for explaining the apparent sex differences. Although the data are fragmentary, the world of computing seems to be more consistent with male adolescent culture than with feminine values and goals. Furthermore, both arcade and educational software is designed with boys in mind. These observations lead us to speculate that computing is neither inherently difficult nor uninteresting to girls, but rather that computer games and other software might have to be designed differently for girls. Programs to help teachers instill computer efficacy in all children also need to be developed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Toward a Theory of Intrinsically Motivating Instruction*
Malone, T. W. (1981) · Cognitive Science · doi:10.1207/s15516709cog0504_2 · Cited by 2,197
Cited by
Gambling and Related Mental Disorders: A Public Health Analysis
Shaffer, H. J., & Korn, D. A. (2002) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.23.100901.140532 · Cited by 538
A comparison of treatment‐seeking pathological gamblers based on preferred gambling activity
Petry, N. M. (2003) · Addiction · doi:10.1046/j.1360-0443.2003.00336.x · Cited by 195
Metadata
- Authors
- Kiesler, S., Sproull, L., & Eccles, J. S.
- Venue
- Psychology of Women Quarterly
- Publisher
- SAGE Publications
- Published
- 1985-12
- Volume
- 9
- Issue
- 4
- Pages
- 451-462
- ISSN
- 0361-6843 (ISSN-L)
- 1471-6402
- OpenAlex
- W1986078022
- Cited by
- 173
- References
- 1
- FWCI
- 6.37
- Type
- journal article
- Language
- en
- Open access
- closed
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pool Halls, Chips, and War Games: Women in the Culture of Computing. https://app.cochat.ai/papers/10.1111/j.1471-6402.1985.tb00895.x
- The paper
- Kiesler, S., Sproull, L., & Eccles, J. S. (1985). Pool Halls, Chips, and War Games: Women in the Culture of Computing. Psychology of Women Quarterly. https://doi.org/10.1111/j.1471-6402.1985.tb00895.x
Data sources
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.