Pandemic pedagogy: Evaluating remote education strategies during COVID-19

IF 4.1 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Systems and Software Pub Date : 2025-08-01 Epub Date: 2025-02-27 DOI:10.1016/j.jss.2025.112392
Daniel Russo
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Abstract

The COVID-19 pandemic triggered an unprecedented transformation in the educational landscape, requiring universities to swiftly pivot from in-person to online instruction. This rapid transition left many educators navigating the complexities of remote teaching for the first time. Now that we have moved past the pandemic, we present a critical retrospective study to analyze and assess the remote teaching practices employed during this challenging period. By conducting a cross-sectional analysis of 300 computer science students who experienced a full year of online education during the lockdown, we discovered that while remote teaching practices had a moderate impact on learning outcomes, they significantly influenced student satisfaction. Importantly, these trends were not isolated; they reflect a shared experience across various demographics, including country, gender, and educational background. This research delivers vital evidence-based recommendations that can guide educational strategies in the event of future challenges. By applying these insights, we can enhance both student satisfaction and the effectiveness of learning in online settings, ensuring that we are better prepared for whatever lies ahead.
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大流行教学法:评估COVID-19期间的远程教育策略
2019冠状病毒病大流行引发了教育领域前所未有的变革,要求大学迅速从面对面教学转向在线教学。这种快速的转变让许多教育工作者第一次面对远程教学的复杂性。现在我们已经度过了大流行,我们提出了一项重要的回顾性研究,以分析和评估在这一具有挑战性的时期采用的远程教学实践。通过对300名在封锁期间接受了一整年在线教育的计算机科学专业学生进行横断面分析,我们发现,尽管远程教学实践对学习成果的影响不大,但它们对学生满意度的影响却很大。重要的是,这些趋势并不是孤立的;它们反映了不同人口统计数据的共同经验,包括国家、性别和教育背景。这项研究提供了重要的基于证据的建议,可以指导未来挑战的教育策略。通过应用这些见解,我们可以提高学生的满意度和在线学习的有效性,确保我们为未来的任何事情做好更好的准备。
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来源期刊
Journal of Systems and Software
Journal of Systems and Software 工程技术-计算机:理论方法
CiteScore
8.60
自引率
5.70%
发文量
193
审稿时长
16 weeks
期刊介绍: The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.
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