{"title":"人工智能在护生学术写作中的应用:一项质的研究","authors":"Jandy Perra Jembu, Rekaya Vincent Balang","doi":"10.1016/j.teln.2025.04.015","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>There has been an increase in the use of AI-based tools, such as Grammarly and ChatGPT, in academic writing, offering potential benefits and challenges to students across various fields.</div></div><div><h3>Aim</h3><div>This study aimed to explore how nursing students perceive the use of AI tools in their academic writing and identify the factors influencing their adoption.</div></div><div><h3>Methods</h3><div>A descriptive qualitative research design was employed. Eleven nursing students (9 from public and 2 from private universities) across Malaysia participated through snowball and purposive sampling. Semi-structured interviews were conducted, and data were analyzed using Braun and Clarke’s thematic analysis with NVivo 14.</div></div><div><h3>Results</h3><div>Four themes emerged: perceived strengths of AI adoption (increased productivity and improved writing quality); perceived flaws (concerns over data accuracy and plagiarism); influential factors (peer and family support); and systemic barriers (lack of formal training and financial constraints).</div></div><div><h3>Conclusions</h3><div>AI tools provide academic advantages, but ethical concerns and resource limitations must be addressed. Theoretically, this study informs AI adoption in higher education. Practically, it offers insights to guide institutional support and integration.</div></div>","PeriodicalId":46287,"journal":{"name":"Teaching and Learning in Nursing","volume":"20 4","pages":"Pages e1012-e1020"},"PeriodicalIF":1.7000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence adoption in nursing students' academic writing: A qualitative study\",\"authors\":\"Jandy Perra Jembu, Rekaya Vincent Balang\",\"doi\":\"10.1016/j.teln.2025.04.015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>There has been an increase in the use of AI-based tools, such as Grammarly and ChatGPT, in academic writing, offering potential benefits and challenges to students across various fields.</div></div><div><h3>Aim</h3><div>This study aimed to explore how nursing students perceive the use of AI tools in their academic writing and identify the factors influencing their adoption.</div></div><div><h3>Methods</h3><div>A descriptive qualitative research design was employed. Eleven nursing students (9 from public and 2 from private universities) across Malaysia participated through snowball and purposive sampling. Semi-structured interviews were conducted, and data were analyzed using Braun and Clarke’s thematic analysis with NVivo 14.</div></div><div><h3>Results</h3><div>Four themes emerged: perceived strengths of AI adoption (increased productivity and improved writing quality); perceived flaws (concerns over data accuracy and plagiarism); influential factors (peer and family support); and systemic barriers (lack of formal training and financial constraints).</div></div><div><h3>Conclusions</h3><div>AI tools provide academic advantages, but ethical concerns and resource limitations must be addressed. Theoretically, this study informs AI adoption in higher education. Practically, it offers insights to guide institutional support and integration.</div></div>\",\"PeriodicalId\":46287,\"journal\":{\"name\":\"Teaching and Learning in Nursing\",\"volume\":\"20 4\",\"pages\":\"Pages e1012-e1020\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Teaching and Learning in Nursing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1557308725001350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Teaching and Learning in Nursing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1557308725001350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
Artificial intelligence adoption in nursing students' academic writing: A qualitative study
Background
There has been an increase in the use of AI-based tools, such as Grammarly and ChatGPT, in academic writing, offering potential benefits and challenges to students across various fields.
Aim
This study aimed to explore how nursing students perceive the use of AI tools in their academic writing and identify the factors influencing their adoption.
Methods
A descriptive qualitative research design was employed. Eleven nursing students (9 from public and 2 from private universities) across Malaysia participated through snowball and purposive sampling. Semi-structured interviews were conducted, and data were analyzed using Braun and Clarke’s thematic analysis with NVivo 14.
Results
Four themes emerged: perceived strengths of AI adoption (increased productivity and improved writing quality); perceived flaws (concerns over data accuracy and plagiarism); influential factors (peer and family support); and systemic barriers (lack of formal training and financial constraints).
Conclusions
AI tools provide academic advantages, but ethical concerns and resource limitations must be addressed. Theoretically, this study informs AI adoption in higher education. Practically, it offers insights to guide institutional support and integration.
期刊介绍:
Teaching and Learning in Nursing is the Official Journal of the National Organization of Associate Degree Nursing. The journal is dedicated to the advancement of Associate Degree Nursing education and practice, and promotes collaboration in charting the future of health care education and delivery. Topics include: - Managing Different Learning Styles - New Faculty Mentoring - Legal Issues - Research - Legislative Issues - Instructional Design Strategies - Leadership, Management Roles - Unique Funding for Programs and Faculty