{"title":"Artificial intelligence in academic writing: a detailed examination.","authors":"Mary Scott-Herring","doi":"10.1515/ijnes-2024-0050","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>As AI tools have become popular in academia, concerns about their impact on student originality and academic integrity have arisen.</p><p><strong>Methods: </strong>This quality improvement project examined first-year nurse anesthesiology students' use of AI for an academic writing assignment. Students generated, edited, and reflected on AI-produced content. Their work was analyzed for commonalities related to the perceived ease of use, accuracy, and overall impressions.</p><p><strong>Results: </strong>Students found AI tools easy to use with fast results, but reported concerns with inaccuracies, superficiality, and unreliable citations and formatting. Despite these issues, some saw potential in AI for brainstorming and proofreading.</p><p><strong>Implications for international audience: </strong>Clear guidelines are necessary for AI use in academia. Further research should explore AI's long-term impact on academic writing and learning outcomes.</p><p><strong>Conclusions: </strong>While AI tools offer speed and convenience, they currently lack the depth required for rigorous academic work.</p>","PeriodicalId":35294,"journal":{"name":"International Journal of Nursing Education Scholarship","volume":"21 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nursing Education Scholarship","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/ijnes-2024-0050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: As AI tools have become popular in academia, concerns about their impact on student originality and academic integrity have arisen.
Methods: This quality improvement project examined first-year nurse anesthesiology students' use of AI for an academic writing assignment. Students generated, edited, and reflected on AI-produced content. Their work was analyzed for commonalities related to the perceived ease of use, accuracy, and overall impressions.
Results: Students found AI tools easy to use with fast results, but reported concerns with inaccuracies, superficiality, and unreliable citations and formatting. Despite these issues, some saw potential in AI for brainstorming and proofreading.
Implications for international audience: Clear guidelines are necessary for AI use in academia. Further research should explore AI's long-term impact on academic writing and learning outcomes.
Conclusions: While AI tools offer speed and convenience, they currently lack the depth required for rigorous academic work.
期刊介绍：
The International Journal of Nursing Education Scholarship publishes significant research and scholarship in the broad field of nursing education. The mandate of the journal is to present high quality papers to advance nursing education through research, description of innovative methods, or introduction of novel approaches about all aspects of nursing education in a timely manner. The specific aims of IJNES are to: - Promote worldwide scholarship in nursing education - Enhance and advance nursing education globally - Provide a forum for the dissemination of international perspectives and scholarship in nursing education
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