Software engineering education in the era of conversational AI: current trends and future directions.

IF 3 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Frontiers in Artificial Intelligence Pub Date : 2024-08-29 eCollection Date: 2024-01-01 DOI:10.3389/frai.2024.1436350
Cigdem Sengul, Rumyana Neykova, Giuseppe Destefanis
{"title":"Software engineering education in the era of conversational AI: current trends and future directions.","authors":"Cigdem Sengul, Rumyana Neykova, Giuseppe Destefanis","doi":"10.3389/frai.2024.1436350","DOIUrl":null,"url":null,"abstract":"<p><p>The developments in conversational AI raised urgent questions about the future direction of many aspects of society, including computing education. The first reactions to the fast-paced evolution of conversational agents were varied: Some announced \"the end of programming,\" while others considered this \"premature obituary of programming.\" Some adopted a defensive approach to detecting the use of conversational AI and avoiding an increase in plagiarism, while others questioned, \"So what if ChatGPT wrote it?\" Nevertheless, questions arise about whether computing education in its current form will still be relevant and fit for purpose in the era of conversational AI. Recognizing these diverse reactions to the advent of conversational AI, this paper aims to contribute to the ongoing discourse by exploring the current state through three perspectives in a dedicated literature review: adoption of conversational AI in (1) software engineering education specifically and (2) computing education in general, and (3) a comparison with software engineering practice. Our results show a gap between software engineering practice and higher education in the pace of adoption and the areas of use and generally identify preliminary research on student experience, teaching, and learning tools for software engineering.</p>","PeriodicalId":33315,"journal":{"name":"Frontiers in Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11391529/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frai.2024.1436350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

The developments in conversational AI raised urgent questions about the future direction of many aspects of society, including computing education. The first reactions to the fast-paced evolution of conversational agents were varied: Some announced "the end of programming," while others considered this "premature obituary of programming." Some adopted a defensive approach to detecting the use of conversational AI and avoiding an increase in plagiarism, while others questioned, "So what if ChatGPT wrote it?" Nevertheless, questions arise about whether computing education in its current form will still be relevant and fit for purpose in the era of conversational AI. Recognizing these diverse reactions to the advent of conversational AI, this paper aims to contribute to the ongoing discourse by exploring the current state through three perspectives in a dedicated literature review: adoption of conversational AI in (1) software engineering education specifically and (2) computing education in general, and (3) a comparison with software engineering practice. Our results show a gap between software engineering practice and higher education in the pace of adoption and the areas of use and generally identify preliminary research on student experience, teaching, and learning tools for software engineering.

对话式人工智能时代的软件工程教育:当前趋势与未来方向。
会话式人工智能的发展对包括计算机教育在内的社会诸多方面的未来走向提出了迫切的问题。对于对话式代理的快速发展,人们的第一反应各不相同:一些人宣布 "编程的终结",另一些人则认为这是 "编程过早的讣告"。一些人采取了防御性方法来检测对话式人工智能的使用,避免剽窃行为的增加,而另一些人则质疑:"就算是 ChatGPT 写的又怎样?"尽管如此,人们还是对当前形式的计算教育在对话式人工智能时代是否仍有意义和适用性产生了疑问。认识到人们对会话式人工智能的出现所做出的这些不同反应,本文旨在通过专门的文献综述,从三个角度探讨当前的状况,从而为正在进行的讨论做出贡献:(1) 会话式人工智能在软件工程教育中的具体应用;(2) 计算教育的总体应用;(3) 与软件工程实践的比较。我们的研究结果表明,软件工程实践与高等教育在采用速度和使用领域方面存在差距,并普遍确定了有关学生体验、教学和软件工程学习工具的初步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
6.10
自引率
2.50%
发文量
272
审稿时长
13 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信