How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering
How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering
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我们还有多远?
DOI:
10.1145/3597503.3639201
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发表时间:
2024
期刊:
影响因子:
--
通讯作者:
Sarma, Anita
中科院分区:
文献类型:
--
作者:
Choudhuri, Rudrajit;Liu, Dylan;Steinmacher, Igor;Gerosa, Marco;Sarma, Anita
Conversational Generative AI (convo-genAI) is revolutionizing Software Engineering (SE) as engineers and academics embrace this technology in their work. However, there is a gap in understanding the current potential and pitfalls of this technology, specifically in supporting students in SE tasks. In this work, we evaluate through a between-subjects study (N=22) the effectiveness of ChatGPT, a convo-genAI platform, in assisting students in SE tasks. Our study did not find statistical differences in participants' productivity or self-efficacy when using ChatGPT as compared to traditional resources, but we found significantly increased frustration levels. Our study also revealed 5 distinct faults arising from violations of Human-AI interaction guidelines, which led to 7 different (negative) consequences on participants.
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DOI:
10.1145/3487065
发表时间:
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期刊:
ACM Transactions on Interactive Intelligent Systems (TiiS)
影响因子:
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期刊:
Interactions
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期刊:
ACM Trans. Comput. Hum. Interact.
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