Review 2026

Systematic review of work-integrated learning in undergraduate engineering education

Journal of Engineering Education
Journal · Vol. 115 · Issue 1 · Art. e70050
Abstract

Background: Work-integrated learning (WIL) is a pedagogical approach combining classroom learning with practical experience. Despite its growing popularity, there is a need for a comprehensive understanding of the characteristics, trends, and outcomes of intervention studies. Purpose: This systematic review explores the current research on WIL intervention studies, examining publication venues, research aims, methodologies, and outcomes, as well as the implications and challenges. Design/Method: The structured and predefined PRISMA process was used to identify relevant studies published in peer-reviewed journals and conference proceedings, ensuring rigor, precision, and replicability. A typological framework was developed and applied to extract and categorize data from the included studies, which were then synthesized to identify patterns and trends. Results: The review included 22 studies between 2014 and 2023. Although the study quality was generally low across journal articles and conference proceedings, the included studies nevertheless provided essential insights. International interest in this topic is evident, growing, and exploratory, with a potential bias toward individual factors and little consideration of institutional or cultural factors. The methodologies included various approaches, but the lack of unifying frameworks suggests that the outcomes are likely context-dependent. The benefits of WIL were numerous and multifaceted, while the challenges highlighted the complexity institutions and industry partners face. Conclusions: This study provides a comprehensive overview of current research on WIL intervention studies. The findings highlight the importance of theoretical underpinnings, research aims, and methodologies in WIL research. The results have implications for educators, policymakers, and researchers seeking to improve the effectiveness of WIL programs. © 2026 American Society for Engineering Education.

Keywords

Author Keywords

Systematic review Internship co-op cooperative education intervention study undergraduate engineering work-integrated learning

Index Keywords

Teaching Engineering education Systematic Review Students 'current Publishing Co-op Cooperative education Internship Intervention studies Pedagogical approach Undergraduate engineering Undergraduate engineering educations Work-integrated learning
Author Affiliations
School of Teaching and Learning, University of Florida, Gainesville, FL, United States
School of Human Development and Organizational Studies in Education, University of Florida, Gainesville, FL, United States
Herbert Wertheim College of Engineering, Gainesville, FL, United States
Funding & Acknowledgements
Clinical and Translational Science Institute, University of Florida
This work was supported by the University of Florida's Research Opportunity Seed Fund, which supports interdisciplinary research in AI and engineering education. In addition, the Covidence application used in the research was supported by the University of Florida Clinical and Translational Science Institute, which is supported in part by the NIH National Center for Advancing Translational Sciences under award number UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the University of Florida or the National Institutes of Health.
University of Florida, UFL
This work was supported by the University of Florida's Research Opportunity Seed Fund, which supports interdisciplinary research in AI and engineering education. In addition, the Covidence application used in the research was supported by the University of Florida Clinical and Translational Science Institute, which is supported in part by the NIH National Center for Advancing Translational Sciences under award number UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the University of Florida or the National Institutes of Health.
National Institutes of Health, USNIH
This work was supported by the University of Florida's Research Opportunity Seed Fund, which supports interdisciplinary research in AI and engineering education. In addition, the Covidence application used in the research was supported by the University of Florida Clinical and Translational Science Institute, which is supported in part by the NIH National Center for Advancing Translational Sciences under award number UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the University of Florida or the National Institutes of Health.
National Center for Advancing Translational Sciences, NCATS
Grant: UL1TR001427
This work was supported by the University of Florida's Research Opportunity Seed Fund, which supports interdisciplinary research in AI and engineering education. In addition, the Covidence application used in the research was supported by the University of Florida Clinical and Translational Science Institute, which is supported in part by the NIH National Center for Advancing Translational Sciences under award number UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the University of Florida or the National Institutes of Health.
National Center for Advancing Translational Sciences, NCATS
This work was supported by the University of Florida's Research Opportunity Seed Fund, which supports interdisciplinary research in AI and engineering education. In addition, the Covidence application used in the research was supported by the University of Florida Clinical and Translational Science Institute, which is supported in part by the NIH National Center for Advancing Translational Sciences under award number UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the University of Florida or the National Institutes of Health.
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