Factors leading to sustainable social impact on the affected communities of engineering service learning projects

University engineering programs across the USA engage in service learning projects. These projects involve student teams designing and implementing products or solutions for communities in need, often in developing nations. There has been much research done relating to pedagogy and the impact of the...

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Main Authors: Andrew G. Armstrong, Christopher A. Mattson, Randy S. Lewis
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Development Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352728521000087
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spelling doaj-e2ea458a34f641009b46f1c6b6720d9a2021-06-27T04:38:42ZengElsevierDevelopment Engineering2352-72852021-01-016100066Factors leading to sustainable social impact on the affected communities of engineering service learning projectsAndrew G. Armstrong0Christopher A. Mattson1Randy S. Lewis2Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, United States of AmericaDepartment of Mechanical Engineering, Brigham Young University, Provo, UT 84602, United States of America; Corresponding author.Department of Chemical Engineering, Brigham Young University, Provo, UT 84602, United States of AmericaUniversity engineering programs across the USA engage in service learning projects. These projects involve student teams designing and implementing products or solutions for communities in need, often in developing nations. There has been much research done relating to pedagogy and the impact of these programs on student learning. However, less research has been done on measuring the impact of these programs on the affected communities. This paper examines factors that practitioners believe are related to successfully delivering a desirable and transferable solution to affected communities. The authors identified 49 distinct factors from the literature that implicitly or explicitly are suggested to contribute to successful project outcomes. Formed as postulates in this paper, these 49 factors have been separated into 5 categories to assist understanding and implementing these factors into service learning programs. Lastly, different methods of analyzing and measuring project success and impact are discussed. Future methods for proving the viability of the 49 postulates are discussed as well.http://www.sciencedirect.com/science/article/pii/S2352728521000087Service learningEngineering for global developmentHumanitarian engineeringImpact assessmentSocial sustainabilityBest practices
collection DOAJ
language English
format Article
sources DOAJ
author Andrew G. Armstrong
Christopher A. Mattson
Randy S. Lewis
spellingShingle Andrew G. Armstrong
Christopher A. Mattson
Randy S. Lewis
Factors leading to sustainable social impact on the affected communities of engineering service learning projects
Development Engineering
Service learning
Engineering for global development
Humanitarian engineering
Impact assessment
Social sustainability
Best practices
author_facet Andrew G. Armstrong
Christopher A. Mattson
Randy S. Lewis
author_sort Andrew G. Armstrong
title Factors leading to sustainable social impact on the affected communities of engineering service learning projects
title_short Factors leading to sustainable social impact on the affected communities of engineering service learning projects
title_full Factors leading to sustainable social impact on the affected communities of engineering service learning projects
title_fullStr Factors leading to sustainable social impact on the affected communities of engineering service learning projects
title_full_unstemmed Factors leading to sustainable social impact on the affected communities of engineering service learning projects
title_sort factors leading to sustainable social impact on the affected communities of engineering service learning projects
publisher Elsevier
series Development Engineering
issn 2352-7285
publishDate 2021-01-01
description University engineering programs across the USA engage in service learning projects. These projects involve student teams designing and implementing products or solutions for communities in need, often in developing nations. There has been much research done relating to pedagogy and the impact of these programs on student learning. However, less research has been done on measuring the impact of these programs on the affected communities. This paper examines factors that practitioners believe are related to successfully delivering a desirable and transferable solution to affected communities. The authors identified 49 distinct factors from the literature that implicitly or explicitly are suggested to contribute to successful project outcomes. Formed as postulates in this paper, these 49 factors have been separated into 5 categories to assist understanding and implementing these factors into service learning programs. Lastly, different methods of analyzing and measuring project success and impact are discussed. Future methods for proving the viability of the 49 postulates are discussed as well.
topic Service learning
Engineering for global development
Humanitarian engineering
Impact assessment
Social sustainability
Best practices
url http://www.sciencedirect.com/science/article/pii/S2352728521000087
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