Effectiveness of end-user debugging software features: are there gender issues?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Gender HCI issues in problem-solving software
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Tinkering and gender in end-user programmers' debugging
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Gender HCI: What About the Software?
Computer
Finding Gender Differences in End-User Debugging: A Data Mining Approach
VLHCC '07 Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing
The effect of using problem-solving software tutors on the self-confidence of female students
Proceedings of the 39th SIGCSE technical symposium on Computer science education
Gender in end-user software engineering
Proceedings of the 4th international workshop on End-user software engineering
Mining problem-solving strategies from HCI data
ACM Transactions on Computer-Human Interaction (TOCHI)
Talk-in interaction reflects usability of virtual collaboration systems
HCI '08 Proceedings of the Third IASTED International Conference on Human Computer Interaction
Gender differences and programming environments: across programming populations
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Gender HCI: what about the software?
Proceedings of the 28th ACM International Conference on Design of Communication
The state of the art in end-user software engineering
ACM Computing Surveys (CSUR)
Evaluating visual programming environments to teach computing to minority high school students
Journal of Computing Sciences in Colleges
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A human-centric issue that has not been considered in the design of end-user programming environments is whether gender differences exist that are important to the design of these environments. Ignoring this issue would miss the opportunity of enhancing the effectiveness of end-user programmers by incorporating appropriate mechanisms to support gender-associated differences in decision making, learning, and problem solving. This paper takes a first step toward building a foundation for investigating this issue by surveying gender difference literature from five domains with an eye toward possible implications for end-user programming. We present a taxonomy of this literature, and derive a number of specific issues for each element of the taxonomy (stated as hypotheses). This foundation provides a starting point for organized investigations into issues that may be important for making breakthroughs in the effectiveness of end-user programmers.