Role of gender, self-efficacy, anxiety and testing formats in learning spreadsheets

Singh, Anil; Bhadauria, Vikram S.; Jain, Anurag; Gurung, Anil

doi:10.1016/j.chb.2012.11.009

Cited by 37 publications

(17 citation statements)

References 40 publications

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“…The difference between genders increases especially among 8 th graders due to the interaction effect. The results disagree with the vast majority of previous research which claim that females display higher levels of anxiety (Broos, 2005;Cooper, 2006;Chua et al, 1999;Durndella & Haag, 2002;Shu & Wang, 2011;Singh et al, 2013). Chen et al (2012) reports that males usually have more experience using tablets than do females and that males' knowledge on tablets is superior to that of females.…”

Section: Conclusion and Discussioncontrasting

confidence: 95%

“…An interaction effect has also been reported indicating that although males' level of anxiety decreases as they become more experienced with computers, that females do not display the same tendency (Broos, 2005). Specifically, females appear to be more anxious in computer related tasks (Broos, 2005;Chua et al, 1999;Cooper, 2006;Durndell & Haag, 2002;Shu, Tu, & Wang, 2011;Singh, Bhadauria, Jain, & Gurung, 2013), despite the fact that some research suggests there to be no significant relationship between gender and anxiety (Tekinarslan, 2008;Todman & Monaghan, 1994). Research on the relationship between age and anxiety is less definitive (Powell, 2013).…”

Section: Tablet Anxietymentioning

confidence: 99%

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Tablets in Education: Outcome Expectancy and Anxiety of Middle School Students

2014

EDUC SCI-THEOR PRACT

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Section: Conclusion and Discussioncontrasting

confidence: 95%

Section: Tablet Anxietymentioning

confidence: 99%

Tablets in Education: Outcome Expectancy and Anxiety of Middle School Students

2014

EDUC SCI-THEOR PRACT

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“…Computer self-efficacy: Empirical studies have found that females tend to have lower computer self-efficacy (area-specific confidence) than their male peers, which may affect the ways they interact with technology [5,6,9,12,27,42,47,54,65,66,73].…”

Section: Background: the Gendermag Methodsmentioning

confidence: 99%

Gender-Inclusiveness Personas vs. Stereotyping

Hill

Haag

Oleson

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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Personas often aim to improve product designers' ability to "see through the eyes of" target users through the empathy personas can inspire-but personas are also known to promote stereotyping. This tension can be particularly problematic when personas (who, of course as "people" have genders) are used to promote gender inclusiveness-because reinforcing stereotypical perceptions can run counter to gender inclusiveness. In this paper we explicitly investigate this tension through a new approach to personas: one that includes multiple photos (of males and females) for a single persona. We compared this approach to an identical persona with only one photo using a controlled laboratory study and an eyetracking study. Our goal was to answer the following question: is it possible for personas to encourage product designers to engage with personas while at the same avoiding promoting gender stereotyping? Our results are encouraging about the use of personas with multiple pictures as a way to expand participants' consideration of multiple genders without reducing their engagement with the persona.

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“…Empirical data have shown that females tend statistically to have lower computer self-efficacy than males, as one would expect given phenomena like stereotype threat, and non-inclusive work environments and education practices [Appel et al 2011;Huffman et al 2013;Luger 2014]. Self-efficacy levels, in turn, affect people's behavior with technology, such as which features they choose to use and how willing they are to persist with hard-to-use features Burnett et al 2011;Durndell and Haag 2002;Hartzel 2003;O'Leary-Kelly et al 2004;Piazza Blog 2015;Singh et al 2013]. Fortunately, features designed explicitly for diverse self-efficacy levels have been shown to be preferred by everyone (e.g., ).…”

Section: Gender Differences In Problem-solving and Programmingmentioning

confidence: 99%

GenderMag: A Method for Evaluating Software's Gender Inclusiveness

et al. 2016

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In recent years, research into gender differences has established that individual differences in how people problem-solve often cluster by gender. Research also shows that these differences have direct implications for software that aims to support users' problem-solving activities, and that much of this software is more supportive of problem-solving processes favored (statistically) more by males than by females. However, there is almost no work considering how software practitionerssuch as User Experience (UX) professionals or software developers-can find gender-inclusiveness issues like these in their software. To address this gap, we devised the GenderMag method for evaluating problem-solving software from a genderinclusiveness perspective. The method includes a set of faceted personas that bring five facets of gender difference research to life, and embeds use of the personas into a concrete process through a gender-specialized Cognitive Walkthrough. Our empirical results show that a variety of practitioners who design software-without needing any background in gender research-were able to use the GenderMag method to find gender-inclusiveness issues in problem-solving software. Our results also show that the issues the practitioners found were real and fixable. This work is the first systematic method to find gender-inclusiveness issues in software, so that practitioners can design and produce problem-solving software that is more usable by everyone. Categories and Subject DescriptorsH.5.2. Information interfaces and presentation (e.g., HCI): User Interfaces; H.5.m. Information interfaces and presentation (e.g., HCI): Miscellaneous. Additional KeywordsGender; gender HCI; diversity; problem-solving software; GenderMag Research Highlights We discuss five facets of prior gender research with ties to males' and females' usage of problem-solving software.  We present GenderMag, the first systematic method to evaluate gender-inclusiveness issues in problem-solving software.  We show how GenderMag draws upon and encapsulates these five facets.  We present three qualitative empirical studies that were used to inform and to validate various aspects of GenderMag, and show the kinds of issues that participants found and how gender of the evaluator interacted with usage of the method.

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Role of gender, self-efficacy, anxiety and testing formats in learning spreadsheets

Cited by 37 publications

References 40 publications

Tablets in Education: Outcome Expectancy and Anxiety of Middle School Students

Tablets in Education: Outcome Expectancy and Anxiety of Middle School Students

Gender-Inclusiveness Personas vs. Stereotyping

GenderMag: A Method for Evaluating Software's Gender Inclusiveness

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