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https://doi.org/10.1145/369663...
Article . 2025 . Peer-reviewed
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Rethinking Entry Requirements for Gender Diversity in CS Education: A Case Study of Student Performance in an Introductory Programming Course

Authors: Lisa Sällvin; Lena-Maria Öberg; Jörgen Söderback; Erik Öberg;

Rethinking Entry Requirements for Gender Diversity in CS Education: A Case Study of Student Performance in an Introductory Programming Course

Abstract

The gender distribution in computer science (CS) education remains uneven, with a persistent underrepresentation of women. One challenge in improving diversity is that many women choose non-technical tracks in high school, and therefore often lack the required mathematics qualifications for STEM educations. The purpose of this study was to investigate gender differences in performance and challenges in an introductory programming course and examining the impact of prior experience. The course is part of a CS program with a balanced gender ratio and relatively low mathematical prerequisites compared to similar programs in Sweden, allowing students with backgrounds in social sciences, economics, or humanities to apply. Bringing in students from diverse academic backgrounds may offer valuable perspectives and contribute to a broader understanding of computer science. The study was based on observations, a survey, and longitudinal statistics of student performance. Our analysis showed that women and men passed the course at equal rates, and struggled with similar learning barriers, regardless of their prior knowledge in mathematics. However, prior experience in programming may have played a role in grade differences, with men tending to achieve higher average grades. These findings raise interesting questions about whether lowering entry requirements, particularly in mathematics, could be a viable approach to improving gender balance in computer science education. 

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Keywords

Technology, Engineering And Mathematics), Stem (science, Economics, Computer Science Education, Entry Requirement, Didactics, Gender Distribution, Human Computer Interaction, Didaktik, Entry Requirements, Human Engineering, Introductory Programming Course, Student Performance, Gender-inclusive, Gender Diversity, Education Computing, Learning Barriers, Social Sciences Computing, Case-studies, Prior Experience, Cs1, Engineering Education, Students, Curricula

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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