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:
46th IEEE/ACM International Conference on Software Engineering (ICSE 2024
影响因子:
--
通讯作者:
Sarma, Anita
Sarma, Anita
中科院分区:
--
文献类型:
--
作者:
Choudhuri, Rudrajit;Liu, Dylan;Steinmacher, Igor;Gerosa, Marco;Sarma, Anita

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随着工程师和学者在他们的工作中接受这项技术,会话生成性人工智能(Convo-genAI)正在给软件工程(SE)带来革命性的变化。然而,在理解这项技术的当前潜力和缺陷方面存在差距,特别是在支持学生执行SE任务方面。在这项工作中,我们通过一个被试之间的研究(N=22),评估了ChatGPT,一个对话人工智能平台,在帮助学生完成SE任务方面的有效性。我们的研究没有发现参与者在使用ChatGPT时的工作效率或自我效能感与传统资源相比的统计差异,但我们发现沮丧程度显著增加。我们的研究还发现了5个明显的错误,这些错误源于违反人类-人工智能交互指南,导致参与者产生7种不同的(负面)后果。
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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