The impact of emergency remote learning on students in engineering and computer science in the United States: An analysis of four universities

The impact of emergency remote learning on students in engineering and computer science in the United States: An analysis of four universities
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紧急远程学习对美国工程和计算机科学专业学生的影响:对四所大学的分析

DOI:
10.1002/jee.20473
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发表时间:
2022
影响因子:
3.4
通讯作者:
Atadero, Rebecca A.
Atadero, Rebecca A.
中科院分区:
工程技术2区
文献类型:
--
作者:
Casper, A. M.;Rambo‐Hernandez, Karen E.;Park, Seoyeon;Atadero, Rebecca A.

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2020年春季,COVID - 19大流行迫使大学进入紧急远程教育阶段。大流行造成了破坏,但也提供了机会,让我们了解如何在需要突然改变教学和学习的其他情况下为学生提供支持。目的/假设我们描述了工程和计算机科学专业学生对一系列关于他们远程学习经历的提示的反应。设计/方法通过一项学期末调查,收集了四所不同大学工程和计算机科学专业本科生的远程学习体验数据。通过主叙事理论和社会文化理论的视角,计算描述性统计数据,并使用定性内容分析对定性反应进行分析。结果:学生们的回答揭示了他们的个人情况是如何结合起来降低了积极性,创造了不利于完成作业的家庭环境,并增加了压力。许多学生描述了远程学习的负面影响,但也有一些学生发现了这种情况的积极方面。大多数学生没有表示他们追求工程或计算机科学专业的愿望或计划发生变化。2020年春季,学生们对大学学习中断的体验差异很大。本文的影响不仅可以帮助未来需要紧急远程学习的情况,而且可以帮助大学在2022年及以后寻求恢复“正常”运营。
BackgroundIn Spring 2020, the COVID‐19 pandemic sent universities into emergency remote education. The pandemic has been disruptive but offers the opportunity to learn about ways to support students in other situations where abrupt changes to teaching and learning are necessary.Purpose/HypothesisWe described the responses of engineering and computer science students to a series of prompts about their experiences with remote learning.Design/MethodData about students' remote learning experiences were collected from undergraduate engineering and computer science students at four different universities through an end‐of‐semester survey. Descriptive statistics were calculated, and qualitative responses were analyzed using qualitative content analysis through the lenses of master narrative theory and sociocultural theory.ResultsStudent responses revealed how their individual circumstances combined to reduce motivation, create home environments detrimental to completing schoolwork, and increase stress. Many students described the negative impacts of remote learning, but some students found positive aspects of the situation. The majority of students did not indicate a change in their desire or plans to pursue engineering or computer science majors.ConclusionsThere was wide variation in how students experienced the disruption to university learning during Spring 2020. Implications of this paper can help not only in cases where emergency remote learning is needed in the future but also as universities seek to return to “normal” operations in 2022 and beyond.
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