Out of the Day Job: Perspectives of Industry Practitioners in Co-Design and Delivery of Software Engineering Courses

• URL: http://arxiv.org/abs/2507.00803v1
• Date: Tue, 01 Jul 2025 14:35:43 GMT
• Title: Out of the Day Job: Perspectives of Industry Practitioners in Co-Design and Delivery of Software Engineering Courses
• Authors: Gillian Daniel, Chris Hall, Per Hammer, Alec-Angus Macdonald, Hollie Marwick-Best, Emma McKenzie, George Popa, Derek Somerville, Tim Storer,
• Abstract summary: The University of Glasgow has co-designed and delivered numerous software engineering focused courses with industry partners.<n>These collaborations are not unique and many of the benefits are well recognised in the literature.<n>However, there is relatively little scholarship on the perspectives of industry practitioners who participate in course design and delivery.
• Score: 1.2558799241132041
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Over more than two decades, The University of Glasgow has co-designed and delivered numerous software engineering focused courses with industry partners, covering both technical and discipline specific professional skills. Such collaborations are not unique and many of the benefits are well recognised in the literature. These include enhancing the real-world relevance of curricula, developing student professional networks ahead of graduation and easing recruitment opportunities for employers. However, there is relatively little scholarship on the perspectives of industry practitioners who participate in course design and delivery. This gap is significant, since the effort invested by practitioners is often substantial and may require ongoing support from both the industry partner and academic institution. Understanding the motivations, expectations and experiences of practitioners who engage in course delivery can guide the formation of future partnerships and ensure their long-term sustainability. We begin to address this gap by reporting on the outcomes of a retrospective conducted amongst the practitioner coauthors of this paper, with the academic coauthors acting as facilitators. All coauthors have participated in the recent co-design and delivery of software engineering courses, but we choose to focus explicitly on the perspectives of the practitioners. We report on the themes that emerged from the discussions and our resulting recommendations for future collaborations.

Related papers

• Embracing Experiential Learning: Hackathons as an Educational Strategy for Shaping Soft Skills in Software Engineering [3.02243271391691]
  We report preliminary empirical evidence from a seven-day hybrid hackathon involving 40 students.<n>We assess how the hackathon experience promoted innovative and creative thinking, collaboration and teamwork, and knowledge application among participants through a structured questionnaire designed to evaluate students' self-awareness.<n>For industry, our discussion has implications around developing soft skills in future SE professionals, thereby enhancing their employability and readiness in the software market.
  arXiv  Detail & Related papers  (2025-02-11T20:58:33Z)
• Establishing Software Engineering Design Competence with Soft Skills [5.829545587965401]
  An engineering design course has been developed for senior level students enrolled in the software engineering program in Canada.<n>The goals of the course are to provide a realistic design experience, introduce students to industry culture, improve their time management skills, challenge them technically and intellectually, improve their communication skills, raise student level of professionalism, hone their soft skills, and raise awareness of human factors in software engineering.
  arXiv  Detail & Related papers  (2024-08-07T02:20:20Z)
• Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions [50.545824691484796]
  We identify six themes around the theme challenges and opportunities to improve Software Developer Diversity and Inclusion (SDDI)<n>We identify benefits, harms, and future research directions for the four main themes.<n>We discuss the remaining two themes, Artificial Intelligence & SDDI and AI & Computer Science education, which have a cross-cutting effect on the other themes.
  arXiv  Detail & Related papers  (2024-04-10T16:18:11Z)
• Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice [63.20307830884542]
  Next several decades may well be a turning point for humanity, comparable to the industrial revolution. Launched a decade ago, the project is committed to a perpetual series of studies by multidisciplinary experts. We offer ten recommendations for action that collectively address both the short- and long-term potential impacts of AI technologies.
  arXiv  Detail & Related papers  (2024-04-06T22:18:31Z)
• Enhancing Student Engagement in Large-Scale Capstone Courses: An Experience Report [2.7629502923028944]
  capstone courses offer students a valuable opportunity to gain hands-on experience in software development. coordinating a capstone course, especially for a large student cohort, can be a daunting task for academic staff. We outline the iterative development and refinement of our capstone course as it grew substantially in size over a span of six consecutive sessions.
  arXiv  Detail & Related papers  (2024-04-03T23:59:35Z)
• Charting a Path to Efficient Onboarding: The Role of Software Visualization [49.1574468325115]
  The present study aims to explore the familiarity of managers, leaders, and developers with software visualization tools. This approach incorporated quantitative and qualitative analyses of data collected from practitioners using questionnaires and semi-structured interviews.
  arXiv  Detail & Related papers  (2024-01-17T21:30:45Z)
• Teaching Digital Accessibility to Industry Professionals using the Community of Practice Framework: An Experience Report [0.0]
  Despite recent initiatives aimed at improving accessibility, the field of digital accessibility remains markedly behind contemporary advancements in the software industry. A persisting skills deficit within the existing technology workforce has been an enduring impediment. This paper reports lessons learned from a training program for teaching digital accessibility to industry professionals.
  arXiv  Detail & Related papers  (2023-12-31T10:55:26Z)
• The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice [64.29355073494125]
  This article aims to ground what we dub the "participatory turn" in AI design by synthesizing existing theoretical literature on participation. We articulate empirical findings concerning the current state of participatory practice in AI design based on an analysis of recently published research and semi-structured interviews with 12 AI researchers and practitioners.
  arXiv  Detail & Related papers  (2023-10-02T05:30:42Z)
• Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice [10.979734542685447]
  An emerging body of research indicates that ineffective cross-functional collaboration represents a major barrier to addressing issues of fairness in AI design and development. We conducted a series of interviews and design workshops with 23 industry practitioners spanning various roles from 17 companies. We found that practitioners engaged in bridging work to overcome frictions in understanding, contextualization, and evaluation around AI fairness across roles.
  arXiv  Detail & Related papers  (2023-06-10T23:42:26Z)
• The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry [72.10607978091492]
  Automated/Autonomous Machine Learning (AutoML/AutonoML) is a relatively young field. This review makes two primary contributions to knowledge around this topic. It provides the most up-to-date and comprehensive survey of existing AutoML tools, both open-source and commercial.
  arXiv  Detail & Related papers  (2022-11-08T10:42:08Z)
• Distributed Deep Learning in Open Collaborations [49.240611132653456]
  We propose a novel algorithmic framework designed specifically for collaborative training. We demonstrate the effectiveness of our approach for SwAV and ALBERT pretraining in realistic conditions and achieve performance comparable to traditional setups at a fraction of the cost.
  arXiv  Detail & Related papers  (2021-06-18T16:23:13Z)
• Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum [58.86139968005518]
  The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created an AI curriculum for pre-tertiary education. A team of 14 professors with expertise in engineering and education collaborated with 17 principals and teachers from 6 secondary schools to co-create the curriculum. The co-creation process generated a variety of resources which enhanced the teachers knowledge in AI, as well as fostered teachers autonomy in bringing the subject matter into their classrooms.
  arXiv  Detail & Related papers  (2021-01-19T11:26:19Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.