Understanding the role models that inspire women to study Computing Science
Year: 2024
Type: conference-paper
Abstract: This study explores the experiences and perspectives of female Computing Science students regarding the role models that inspired them to study the subject. Findings from 14 qualitative interviews reveal that role models are often identified through personal interactions in educational, professional, and family settings, with their effectiveness determined by factors such as perceived competence, shared experiences, attainability, encouragement, and approachability. Interviewees emphasise the importance of having relatable role models, particularly for underrepresented groups such as women in male-dominated fields like technology. The study highlights the evolving nature of mentorship, with interviewees’ needs and expectations shifting from general inspiration to specific guidance as they progress in their careers. While many interviewees report positive experiences with their role models, some identify areas for improvement, including the need for more diverse representation, engaging communication, and increased availability of mentors. The findings underscore the crucial part that role models – or mentors – play in inspiring and guiding the next generation of computing professionals, and suggest that by addressing identified areas for improvement, mentorship programs can more effectively support and empower individuals in their educational and professional journeys. The study contributes to our understanding of the impact and dynamics of role models in computing and offers insights for enhancing role model initiatives to foster greater diversity and success in these fields.
Authors: Matthew Barr, Lewis Binnie, Elizabeth Jacobs, Kristina Pavlou, Kathleen West
Institution: University of Glasgow
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4404098918