Computing Self-Efficacy in Undergraduate Students: A Multi-Institutional and Intersectional Analysis
Computing Self-Efficacy in Undergraduate Students: A Multi-Institutional and Intersectional Analysis
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计算本科生的自我效能感：多机构和交叉分析
DOI：
10.1145/3626252.3630811
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发表时间：
2024
期刊：
影响因子：
--
通讯作者：
Lewis, Colleen M.
中科院分区：
文献类型：
--
作者：
Ojha, Vidushi;West, Leah;Lewis, Colleen M.
计算机自我效能感是影响学生学习计算机科学（CS）课程的动机、表现和坚持的重要因素。因此，调查计算自我效能感可能有助于提高历史上代表性不足群体的学生在计算方面的持久性。先前的研究表明，计算机自我效能感与先前的计算机经验正相关，但与某些人口统计学身份（如女性身份）负相关。然而，现有的研究并没有在控制混杂变量和制度背景的情况下大规模地证明这些模式。此外，有必要通过交叉性的镜头来研究具有多重边缘身份的学生的经历。我们的目标是调查学生的计算机自我效能感与他们之前的计算机经验、人口特征和制度政策之间的关系。我们使用了一个大型的、最新的、多机构的数据集，对31425名学生进行了调查。我们的研究结果证实，更多的计算经验正预测计算自我效能。然而，亚洲人、黑人、土著、西班牙裔、非二元和/或女性与较低的计算机自我效能在统计上显著相关。我们的研究结果指出了未来计算机领域自我效能研究的几个途径。
Computing self-efficacy is an important factor in shaping students' motivation, performance, and persistence in computer science (CS) courses. Therefore, investigating computing self-efficacy may help to improve the persistence of students from historically underrepresented groups in computing. Previous research has shown that computing self-efficacy is positively correlated with prior computing experience, but negatively correlated with some demographic identities (e.g., identifying as a woman). However, existing research has not demonstrated these patterns on a large scale while controlling for confounding variables and institutional context. In addition, there is a need to study the experiences of students with multiple marginalized identities through the lens of intersectionality. Our goal is to investigate the relationship between students' computing self-efficacy and their prior experience in computing, demographic identities, and institutional policies. We conduct this investigation using a large, recent, and multi-institutional dataset with survey responses from 31,425 students. Our findings confirm that more computing experience positively predicts computing self-efficacy. However, identifying as Asian, Black, Native, Hispanic, non-binary, and/or a woman were statistically significantly associated with lower computing self-efficacy. The results of our work point to several future avenues for self-efficacy research in computing.
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DOI：
--
发表时间：
1987
期刊：
影响因子：
--
作者：
Irene T. Miura
通讯作者：
Irene T. Miura
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DOI：
10.1145/2016911.2016915
发表时间：
2011
期刊：
Proceedings of the seventh international workshop on Computing education research
影响因子：
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作者：
Colleen M. Lewis;K. Yasuhara;Ruth E. Anderson
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Ruth E. Anderson
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DOI：
--
发表时间：
2007
期刊：
Education and Information Technologies : Official Journal of the IFIP technical committee on Education
影响因子：
--
作者：
Evrikleia Tsagala;M. Kordaki
通讯作者：
M. Kordaki
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影响因子：
2.4
作者：
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Rachael Forester
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影响因子：
2.4
作者：
LaVar J. Charleston;Phillis L. George;Jerlando F. L. Jackson;Jonathan Berhanu;Mauriell H. Amechi
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