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Eliminating Gender Bias in Computer Science Education Materials

机译:消除计算机科学教育材料的性别偏见

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Low female participation in Computer Science is a known problem. Studies reveal that female students are less confident in their CS skills and knowledge than their male counterparts, despite parallel academic performance indicators. While prior studies focus on limited, apparent factors causing this lack of confidence, our work is the first to demonstrate how, in CS, instructional materials may lead to the promotion of gender inequality. We use a multidisciplinary perspective to examine profound, but often subtle portrayals of gender bias within the course materials and reveal their underlying pedagogical causes. We examine three distinct samples of established CS teaching materials and explain how they may affect female students. These samples, while not a complete display of all gender inequalities in CS curriculum, serve as effective representations of the established trends of male-centered representation, imagery, and language that may promote gender inequality. Finally, we present easily implementable, alternative gender equitable approaches that maximize gender inclusion.
机译:低女性参与计算机科学是一个已知的问题。研究表明,尽管有平行的学术绩效指标,但女学生对他们的CS技能和知识方面的知识比其男性同行不太自信。虽然先前的研究重点关注有限,但表观因素导致这种缺乏信心,我们的工作是第一个展示如何在CS,教学材料可能导致促进性别不平等的研究。我们使用多学科视角来检查深刻,但往往会在课程材料中进行性别偏见的微妙描绘,并揭示其潜在的教学原因。我们研究了三种明显的成熟的CS教材样本,并解释了它们如何影响女学生。这些样本,虽然在CS课程中的所有性别不等式的完全显示,但作为可能促进性别不平等的男性居中代表,图像和语言的既定趋势的有效表现。最后,我们易于实现最大化性别包容性的替代性别公平方法。

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