Undergraduate Students’ Perceptions of the Impact of Pre-College Computing Activities on Choices of Major
A lack of diversity in the computing field has existed for several decades, and although female participation in computing remains low, outreach programs attempting to address the situation are now quite numerous. To begin to understand whether or not these past activities have had long-term impact, we conducted a systematic literature review. Upon discovering that longitudinal studies were lacking, we investigated whether undergraduate students believed that their participation in computing activities prior to college contributed to their decision to major in a computing field. From the 770 participants in the study, we discovered that approximately 20% of males and 24% of females who were required to participate in computing activities chose a computing or related major, but that males perceived that the activity had a greater affect on their decision (20%) than females (6.9%). Females who participated in an outreach activity were more likely to major in computing. Compared with females who chose to major in computing, females who did not were less likely to indicate that the majority of students participating in activities were boys and that they were a welcome part of the groups. Results also showed that female participants who do not ultimately major in computing have a much stronger negative perception of the outreach activities than male participants who also chose a non-computing major. Although many computing outreach activities are designed to diversify computing, it may be the case that, overall, boys receive these activities more favorably than girls, although requiring participation yields approximately the same net positive impact.
Undergraduate Students’ Perceptions of the Impact of Pre-College Computing Activities on Choices of Major
- Author McGill, Monica M.; Decker, Adrienne; Settle, Amber
- Publication Title ACM Trans. Comput. Educ.
- Publication Year 2016
- BPC Focus Gender
- Methodology Multi-institution
- Analytic Method NA
- Institution Type NA
- DOI 10.1145/2920214
- URL https://doi.org/10.1145/2920214