Insights from the Frontline: GenAI Utilization Among Software Engineering Students
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929642407985152 |
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| author | Choudhuri, Rudrajit Ramakrishnan, Ambareesh Chatterjee, Amreeta Trinkenreich, Bianca Steinmacher, Igor Gerosa, Marco Sarma, Anita |
| author_facet | Choudhuri, Rudrajit Ramakrishnan, Ambareesh Chatterjee, Amreeta Trinkenreich, Bianca Steinmacher, Igor Gerosa, Marco Sarma, Anita |
| contents | Generative AI (genAI) tools (e.g., ChatGPT, Copilot) have become ubiquitous in software engineering (SE). As SE educators, it behooves us to understand the consequences of genAI usage among SE students and to create a holistic view of where these tools can be successfully used. Through 16 reflective interviews with SE students, we explored their academic experiences of using genAI tools to complement SE learning and implementations. We uncover the contexts where these tools are helpful and where they pose challenges, along with examining why these challenges arise and how they impact students. We validated our findings through member checking and triangulation with instructors. Our findings provide practical considerations of where and why genAI should (not) be used in the context of supporting SE students. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_15624 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Insights from the Frontline: GenAI Utilization Among Software Engineering Students Choudhuri, Rudrajit Ramakrishnan, Ambareesh Chatterjee, Amreeta Trinkenreich, Bianca Steinmacher, Igor Gerosa, Marco Sarma, Anita Human-Computer Interaction Software Engineering Generative AI (genAI) tools (e.g., ChatGPT, Copilot) have become ubiquitous in software engineering (SE). As SE educators, it behooves us to understand the consequences of genAI usage among SE students and to create a holistic view of where these tools can be successfully used. Through 16 reflective interviews with SE students, we explored their academic experiences of using genAI tools to complement SE learning and implementations. We uncover the contexts where these tools are helpful and where they pose challenges, along with examining why these challenges arise and how they impact students. We validated our findings through member checking and triangulation with instructors. Our findings provide practical considerations of where and why genAI should (not) be used in the context of supporting SE students. |
| title | Insights from the Frontline: GenAI Utilization Among Software Engineering Students |
| topic | Human-Computer Interaction Software Engineering |
| url | https://arxiv.org/abs/2412.15624 |