Industry practitioners indicate that generative AI heightens demand for prompting and output evaluation skills while reinforcing the value of problem-solving, critical thinking, architecture design, and debugging in software engineering.
Developing a work-based software engineering degree in collaboration with industry
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Longitudinal analysis of student reflections in a work-based software engineering program shows increasing prevalence of sophisticated reflection forms such as knowledge integration and practice reconstruction over four years, with all students demonstrating reconstruction by the final year.
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"Don't Be Afraid, Just Learn": Insights from Industry Practitioners to Prepare Software Engineers in the Age of Generative AI
Industry practitioners indicate that generative AI heightens demand for prompting and output evaluation skills while reinforcing the value of problem-solving, critical thinking, architecture design, and debugging in software engineering.
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The Development of Reflective Practice on a Work-Based Software Engineering Program: A Longitudinal Study
Longitudinal analysis of student reflections in a work-based software engineering program shows increasing prevalence of sophisticated reflection forms such as knowledge integration and practice reconstruction over four years, with all students demonstrating reconstruction by the final year.