{"title":"Pandemic pedagogy: Evaluating remote education strategies during COVID-19","authors":"Daniel Russo","doi":"10.1016/j.jss.2025.112392","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51099,"journal":{"name":"Journal of Systems and Software","volume":"226 ","pages":"Article 112392"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems and Software","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0164121225000603","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
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.
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.