Conference proceeding
Can Feature Design Reduce the Gender Gap in End-User Software Development Environments?
2008 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, PROCEEDINGS, pp 149-156
01 Jan 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Recent research has begun to report that female end-user programmers are often more reluctant than males to employ features that are useful for testing and debugging. These earlier findings suggest that, unless such features can be changed in some appropriate way, there are likely to be important gender differences in end-user programmers' benefits from these features. In this paper, we compare end-user programmers feature usage in an environment that supports end-user debugging, against an extension of the same environment with two features designed to help ameliorate the effects of low self-efficacy. Our results show ways in which these features affect female versus male end-user programmers' self-efficacy, attitudes, usage of testing and debugging features, and performance.
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Details
- Title
- Can Feature Design Reduce the Gender Gap in End-User Software Development Environments?
- Creators
- Valentina Grigoreanu - Oregon State UniversityJill Cao - Oregon State UniversityTodd Kulesza - Oregon State UniversityChristopher Bogart - Oregon State UniversityKyle Rector - Oregon State UniversityMargaret Burnett - Oregon State UniversitySusan Wiedenbeck - Drexel University
- Contributors
- P Bottoni (Editor)M R Rosson (Editor)M Minas (Editor)
- Publication Details
- 2008 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, PROCEEDINGS, pp 149-156
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- IBM International Faculty Award. CCR-0325273; CCR-0324844 / EUSES Consortium via NSF CNS-0420533 / NSF; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000260877900023
- Scopus ID
- 2-s2.0-56349085178
- Other Identifier
- 991019167592904721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering
- Engineering, Electrical & Electronic