Beyond the Classroom: Bridging the Gap between Academia and Industry with a Hands-on Learning Approach

Modern software systems require various capabilities to meet architectural and operational demands, such as the ability to scale automatically and recover from sudden failures. Self-adaptive software systems have emerged as a critical focus in software design and operation due to their capacity to autonomously adapt to changing environments. However, educating students on this topic is scarce in academia, and a survey among practitioners identified that the lack of knowledgeable individuals has hindered its adoption in the industry. In this paper, we present our experience teaching a course on selfadaptive software systems that integrates theoretical knowledge and hands-on learning with industry-relevant technologies. To close the gap between academic education and industry practices, we incorporated guest lectures from experts and showcases featuring industry professionals as judges, improving technical and communication skills for our students. Feedback based on surveys from 21 students indicates significant improvements in their understanding of self-adaptive systems. The empirical analysis of the developed course demonstrates the effectiveness of the proposed course syllabus and teaching methodology. In addition, we provide a summary of the educational challenges of running this unique course, including balancing theory and practice, addressing the diverse backgrounds and motivations of students, and integrating the industry-relevant technologies. We believe these insights can provide valuable guidance for educating students in other emerging topics within software engineering.

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Published
2025-04-27
DOI
https://doi.org/10.1109/cseet66350.2025.00011
Primary Topic
Open Source Software Innovations
Type
article
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article

Beyond the Classroom: Bridging the Gap between Academia and Industry with a Hands-on Learning Approach

Mark Stoodley, Mingyang Xu, Ryan Wen Liu, Ladan Tahvildari
Open Source Software Innovations
article

Beyond the Classroom: Bridging the Gap between Academia and Industry with a Hands-on Learning Approach

Mark Stoodley, Mingyang Xu, Ryan Wen Liu, Ladan Tahvildari
article en

Abstract

Modern software systems require various capabilities to meet architectural and operational demands, such as the ability to scale automatically and recover from sudden failures. Self-adaptive software systems have emerged as a critical focus in software design and operation due to their capacity to autonomously adapt to changing environments. However, educating students on this topic is scarce in academia, and a survey among practitioners identified that the lack of knowledgeable individuals has hindered its adoption in the industry. In this paper, we present our experience teaching a course on selfadaptive software systems that integrates theoretical knowledge and hands-on learning with industry-relevant technologies. To close the gap between academic education and industry practices, we incorporated guest lectures from experts and showcases featuring industry professionals as judges, improving technical and communication skills for our students. Feedback based on surveys from 21 students indicates significant improvements in their understanding of self-adaptive systems. The empirical analysis of the developed course demonstrates the effectiveness of the proposed course syllabus and teaching methodology. In addition, we provide a summary of the educational challenges of running this unique course, including balancing theory and practice, addressing the diverse backgrounds and motivations of students, and integrating the industry-relevant technologies. We believe these insights can provide valuable guidance for educating students in other emerging topics within software engineering.

University of Waterloo (CA), IBM (Canada) (CA)
Openalex Percentile: Top 87%
Open Source Software Innovations
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Beyond the Classroom: Bridging the Gap between Academia and Industry with a Hands-on Learning Approach — Mark Stoodley, Mingyang Xu, et al. · (2025) | TGRS Research Map | TGRS