Gamification in education: a mixed-methods study of gender on computer science students’ academic performance and identity development

Underrepresentation of women in computer science (CS) increasingly demands the necessity to find and enhance current learning engagement approaches to bring more women into computing fields. Some researchers have been exploring the influence of gamification on female students as one of these possible learning engagement strategies. Gamification refers to the introduction of video game elements into non-game activities to enhance engagement and motivation. Previous studies have reported mixed results of the impact of gamification on women. In this study, we introduce SEP-CyLE (Software Engineering and Programming Cyberlearning Environment), an online gamified tool that was designed to provide supplemental computing content to students. This paper presents a convergent mixed-methods study guided by social identity theory and self-efficacy to understand women’s experiences with this gamified tool. More specifically, this study explores virtual points’ and leaderboards’ effects on CS identity development, self-efficacy, and performance. The results show that virtual points and the leaderboard contributed to improved performance for students of all genders, suggesting that gamification is a gender-neutral learning engagement strategy that improves female students’ performance as much as male students. Regardless of improved performance, most women did not actively enjoy or were motivated by the virtual points or leaderboard in SEP-CyLE. Additionally, gamification had no significant impact on CS identity development or selfefficacy constructs and had little to no impact on women’s interest and engagement in the field of computing.

Gamification in education: a mixed-methods study of gender on computer science students’ academic performance and identity development

  • Author Zahedi, Leila; Batten, Jasmine; Ross, Monique; Potvin, Geoff; Damas, Stephanie; Clarke, Peter; Davis, Debra
  • Publication Title Journal Of Computing In Higher Education
  • Publication Year 2021
  • BPC Focus Gender
  • Methodology Qualitative
  • Analytic Method T-test, Correlation, Regression
  • Institution Type NA
  • DOI 10.1007/s12528-021-09271-5
  • URL https://doi.org/10.1007/s12528-021-09271-5