Female Students in Computer Science Education: Understanding Stereotypes, Negative Impacts, and Positive Motivation
Bernadette Spieler, Libora Oates-Indruchova, Wolfgang Slany

TL;DR
This paper reviews gender stereotypes in computer science education, highlighting their negative impact on girls' interest and participation, and suggests inclusive strategies like mentoring and cultural change to improve gender equity.
Contribution
It provides a systematic review of 28 studies on gender stereotypes in CS, identifying harmful stereotypes and proposing targeted inclusive educational interventions.
Findings
Stereotypes depict girls as helpless and uninterested in CS.
Girls believe they must be hyper-intelligent to succeed in CS.
Inclusive strategies include mentoring and girls-only initiatives.
Abstract
Although female students engage in coding courses, only a small percentage of them plan to pursue computer science (CS) as a major when choosing a career path. Gender differences in interests, sense-of belonging, self-efficacy, and engagement in CS are already present at an early age. This article presents an overview of gender stereotypes in CS and summarizes negative impressions female students between 12 and 15 experience during CS classes, as well as influences that may be preventing girls from taking an interest in CS. The study herein draws on a systematic review of 28 peer-reviewed articles published since 2006. The findings of the review point to the existence of the stereotypical image of a helpless, uninterested, and unhappy "Girl in Computer Science". It may be even more troubling a construct than that of the geeky, nerdy male counterpart, as it is rooted in the notion that…
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