女性、成熟员工和少数族裔的计算机科学和编程学习路径:mooc还是大学——谁更好?

M. Lane, Wendy Hui, Karen Murcia, P. Wongthongtham
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引用次数: 0

摘要

本文对2016年新编码员调查收集的数据与中学后教育综合数据系统(IPEDS)收集的数据的人口分布进行了探索性分析和比较。通过比较数据集,研究结果表明,总体而言,女性更有可能参与在线自学编程教育,特别是当她们没有IT学科背景或以前的学习时。这与拥有现有IT资格的女性形成强烈对比。在种族方面,研究发现,那些认为自己是少数民族的学生更有可能接受正规的信息技术高等教育,而不是参加在线编程学习。研究还证实,与接受正规高等教育的学生相比,在线学习的学生平均年龄更高,年龄组的多样性更大。本文讨论了这种分析对信息技术学科(如计算机科学)以及更广泛地与stem相关学科多样性的实际影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COMPUTER SCIENCE AND CODING STUDY PATHS FOR WOMEN, MATURE WORKERS, AND MINORITIES: MOOC OR UNIVERSITY - WHO DOES IT BETTER?
This article is an exploratory analysis and comparison of the demographic distributions of data collected from the 2016 New Coder Survey, with that obtained from the Integrated Postsecondary Education Data System (IPEDS). In comparing the data sets, the findings suggest that overall females were more likely to engage in online self-paced coding education, particularly when they had no background or previous study in an IT discipline. This contrasted strongly with females having an existing IT qualification. When looking at ethnicity, the research identified that those students who identify as an ethnic minority were more likely to undertake formal tertiary education in IT, rather than engage in online coding study. The research also confirmed that the average age was higher, and diversity of age groups was larger for those undertaking online study, when compared with those undertaking formal tertiary study. The practical implications of this analysis to diversity in Information Technology disciplines such as computer science, and more broadly with STEM-related disciplines are discussed.
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