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Exploring Gender Diversity in CS at a Large Public R1 Research University

机译:在大型公共R1研究大学CS的性别多样性

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With the number of Computer Science (CS) jobs on the rise, there is a greater need for Computer Science graduates than ever. At the same time, most CS departments across the country are only seeing 25-30% of female students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we explore the gender gap in CS at Rutgers University using three data sets that span thousands of students across 3.5 academic years. By combining these data sets, we can explore interesting issues such as retention, as students progress through the CS major. For example, we find that a large percentage of women taking the Introductory CS1 course for majors do not intend to major in CS, which contributes to a large increase in the gender gap immediately after CS1. This finding implies that a large part of the retention task is attracting these women to further explore the major. We correlate our findings with initiatives that some CS programs across the country have taken to significantly improve their gender diversity, and identify initiatives that we can start with in our effort to increase the diversity in our program. These findings may also be applicable to the computing programs at other large public research universities.
机译:随着计算机科学(CS)工作的数量,计算机科学毕业生的需求比以往任何时候都更需要。与此同时,全国各地的大多数CS部门只看到其课程中的25-30%,这意味着我们无法从大部分人口中汲取兴趣。在这项工作中,我们使用三个学生跨越3.5学年的三个数据集来探讨Rutgers大学的CS的性别差距。通过组合这些数据集,随着学生通过CS专业的进步,我们可以探索诸如保留的有趣问题。例如,我们发现,为专业的介绍性CS1课程的大量女性不打算在CS中重大,这有助于CS1后立即增加性别差距。这一发现意味着一大部分保留任务都是吸引这些妇女进一步探索专业。我们将我们的调查结果与全国各地的一些CS计划带来了大大改善其性别多样性的举措,并确定我们可以从我们努力增加我们计划中多样性的举措。这些调查结果也可以适用于其他大型公共研究大学的计算计划。

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