Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
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.
Recommended Citation
Berthelsen, Rebecca; Chandler, Cherileigh; Dean, Lauren; Keith, Mark; Schuetzler, Ryan; Kettles, Degan; and Anderson, Greg, "How Can Chatbots Improve the Gender Gap in Information Systems?" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 5.
https://aisel.aisnet.org/hicss-57/sj/stem/5
How Can Chatbots Improve the Gender Gap in Information Systems?
Hilton Hawaiian Village, Honolulu, Hawaii
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.
https://aisel.aisnet.org/hicss-57/sj/stem/5