How Can Chatbots Improve the Gender Gap in Information Systems?
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2024-01-03
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7194
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The underrepresentation of women in STEM fields, including information systems (IS), is an ongoing issue that warrants our efforts to understand why a gender gap exists in this domain and what can be done to mitigate it. Prior research shows that women often have lower levels of self-efficacy than men regarding information systems tasks, which may explain the discrepancy between genders. In a previous study, we explored the effectiveness of a chatbot programming tutor in building self-efficacy of IS students and found that chatbot usage, which was self-reported, improved self-efficacy for all students but had a greater effect on self-efficacy for women. We conducted a second iteration of our initial study using actual chatbot logs (as opposed to self-reported usage) and confirmed our initial finding that chatbots may be a valuable tool in lessening the gender gap. Furthermore, we explore private self-consciousness as another explanation for the gender gap.
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STEM Education and Workforce Development: Addressing Equity and Inclusion for Underserved Populations, chatbot, experiment, self-consciousness, stem, women
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10 pages
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Proceedings of the 57th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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