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Empirical studies of end-user debugging have revealed that males outperform females. An explanation of this phenomenon is that males have higher perceived self-efficacy (or confidence) than females in their ability to debug. However, it is not clear whether self-efficacy is the primary or sole user self-perception that affects males' and females' performance. In this study, we investigate additional...
Multiple factors combine to affect end users' success in learning to program. The goal of this research is to empirically investigate several factors that may predict learning to program in an introductory programming course for end users. The findings showed that software self-efficacy, programming self-efficacy, and computer playfulness were not direct predictors of successful programming; however,...
Several research efforts have developed new tools to help end users create effective software. End users will gain benefits from these new tools if they actually adopt and use the systems' features. Most users are likely to be driven by job productivity; thus, they tend to use known features to complete a task rather than taking time to learn to use new features which could more effectively handle...
The problem of dependability in end-user programming is an emerging area of interest. Pair collaboration in end-user software development may offer a way for end users to debug their programs more effectively. While pair programming studies - primarily of computer science students and professionals - report positive outcomes in terms of overall program quality, little is known about specific activities...
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