{"title":"探讨人工智能素养及ChatGPT和副驾驶在护理学术报告写作教学中的应用。","authors":"Li-Ping Tseng , Li-Ping Huang , Wei-Ru Chen","doi":"10.1016/j.nedt.2025.106570","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Nursing education increasingly emphasizes academic writing and communication, critical for delivering quality patient care and professional advancement. Rapidly emerging artificial intelligence (AI) tools such as ChatGPT and Copilot are transforming educational methodologies, and a focus is being placed on embedding AI literacy to effectively bridge the gap between theoretical knowledge and clinical practice. These technologies have the potential to reshape nursing education in a technology-driven health-care landscape.</div></div><div><h3>Aim</h3><div>This study investigated the effectiveness of AI literacy and the application of ChatGPT and Copilot in academic nursing report writing. It assessed the level of AI literacy of nursing students, examined the integration of basic AI concepts into a curriculum, and analyzed the impact of these tools compared with traditional teaching methods.</div></div><div><h3>Methods</h3><div>The study adopted a sample of 203 senior nursing students from Southern Taiwan to compare an AI-enhanced teaching approach using ChatGPT and Copilot with conventional methods. The curriculum, centered on the “Writing Case Reports and Seminars” course, employed the Analyze, Design, Develop, Implement, Evaluate model and incorporated scaffolding techniques to synergistically integrate clinical skills with academic learning. AI literacy was measured using the Meta AI Literacy Scale (MAILS). Summative assessments, adhering to the Taiwan Nursing Association standards, focused on individual and group case report evaluations.</div></div><div><h3>Findings</h3><div>Following an 18-week AI intervention, the experimental group demonstrated significant improvements in all dimensions of the MAILS. A ChatGPT usage of 100 % was found, with a notable enhancement discovered in the “Nursing Plan” section of case reports. Although the experimental group outperformed the control group in overall case report evaluations, the connections between identified problems and proposed plans were weaker and nursing interventions tended to be less individualized for the experimental group.</div></div><div><h3>Conclusions</h3><div>The incorporation of AI tools such as ChatGPT and Copilot into a scaffolding teaching framework significantly boosted students' AI literacy and performance in summative assessments. Effective AI training for students, supervised use of these tools, and continuous professional development for educators are paramount to successful implementation. Addressing the current limitations of AI has the potential to further improve academic writing, foster critical thinking, and ensure responsible application in patient care, ultimately leading to higher-quality and more effective nursing education.</div></div>","PeriodicalId":54704,"journal":{"name":"Nurse Education Today","volume":"147 ","pages":"Article 106570"},"PeriodicalIF":3.6000,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring artificial intelligence literacy and the use of ChatGPT and copilot in instruction on nursing academic report writing\",\"authors\":\"Li-Ping Tseng , Li-Ping Huang , Wei-Ru Chen\",\"doi\":\"10.1016/j.nedt.2025.106570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Nursing education increasingly emphasizes academic writing and communication, critical for delivering quality patient care and professional advancement. Rapidly emerging artificial intelligence (AI) tools such as ChatGPT and Copilot are transforming educational methodologies, and a focus is being placed on embedding AI literacy to effectively bridge the gap between theoretical knowledge and clinical practice. These technologies have the potential to reshape nursing education in a technology-driven health-care landscape.</div></div><div><h3>Aim</h3><div>This study investigated the effectiveness of AI literacy and the application of ChatGPT and Copilot in academic nursing report writing. It assessed the level of AI literacy of nursing students, examined the integration of basic AI concepts into a curriculum, and analyzed the impact of these tools compared with traditional teaching methods.</div></div><div><h3>Methods</h3><div>The study adopted a sample of 203 senior nursing students from Southern Taiwan to compare an AI-enhanced teaching approach using ChatGPT and Copilot with conventional methods. The curriculum, centered on the “Writing Case Reports and Seminars” course, employed the Analyze, Design, Develop, Implement, Evaluate model and incorporated scaffolding techniques to synergistically integrate clinical skills with academic learning. AI literacy was measured using the Meta AI Literacy Scale (MAILS). Summative assessments, adhering to the Taiwan Nursing Association standards, focused on individual and group case report evaluations.</div></div><div><h3>Findings</h3><div>Following an 18-week AI intervention, the experimental group demonstrated significant improvements in all dimensions of the MAILS. A ChatGPT usage of 100 % was found, with a notable enhancement discovered in the “Nursing Plan” section of case reports. Although the experimental group outperformed the control group in overall case report evaluations, the connections between identified problems and proposed plans were weaker and nursing interventions tended to be less individualized for the experimental group.</div></div><div><h3>Conclusions</h3><div>The incorporation of AI tools such as ChatGPT and Copilot into a scaffolding teaching framework significantly boosted students' AI literacy and performance in summative assessments. Effective AI training for students, supervised use of these tools, and continuous professional development for educators are paramount to successful implementation. Addressing the current limitations of AI has the potential to further improve academic writing, foster critical thinking, and ensure responsible application in patient care, ultimately leading to higher-quality and more effective nursing education.</div></div>\",\"PeriodicalId\":54704,\"journal\":{\"name\":\"Nurse Education Today\",\"volume\":\"147 \",\"pages\":\"Article 106570\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-01-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nurse Education Today\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S026069172500005X\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION, SCIENTIFIC DISCIPLINES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nurse Education Today","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S026069172500005X","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
Exploring artificial intelligence literacy and the use of ChatGPT and copilot in instruction on nursing academic report writing
Background
Nursing education increasingly emphasizes academic writing and communication, critical for delivering quality patient care and professional advancement. Rapidly emerging artificial intelligence (AI) tools such as ChatGPT and Copilot are transforming educational methodologies, and a focus is being placed on embedding AI literacy to effectively bridge the gap between theoretical knowledge and clinical practice. These technologies have the potential to reshape nursing education in a technology-driven health-care landscape.
Aim
This study investigated the effectiveness of AI literacy and the application of ChatGPT and Copilot in academic nursing report writing. It assessed the level of AI literacy of nursing students, examined the integration of basic AI concepts into a curriculum, and analyzed the impact of these tools compared with traditional teaching methods.
Methods
The study adopted a sample of 203 senior nursing students from Southern Taiwan to compare an AI-enhanced teaching approach using ChatGPT and Copilot with conventional methods. The curriculum, centered on the “Writing Case Reports and Seminars” course, employed the Analyze, Design, Develop, Implement, Evaluate model and incorporated scaffolding techniques to synergistically integrate clinical skills with academic learning. AI literacy was measured using the Meta AI Literacy Scale (MAILS). Summative assessments, adhering to the Taiwan Nursing Association standards, focused on individual and group case report evaluations.
Findings
Following an 18-week AI intervention, the experimental group demonstrated significant improvements in all dimensions of the MAILS. A ChatGPT usage of 100 % was found, with a notable enhancement discovered in the “Nursing Plan” section of case reports. Although the experimental group outperformed the control group in overall case report evaluations, the connections between identified problems and proposed plans were weaker and nursing interventions tended to be less individualized for the experimental group.
Conclusions
The incorporation of AI tools such as ChatGPT and Copilot into a scaffolding teaching framework significantly boosted students' AI literacy and performance in summative assessments. Effective AI training for students, supervised use of these tools, and continuous professional development for educators are paramount to successful implementation. Addressing the current limitations of AI has the potential to further improve academic writing, foster critical thinking, and ensure responsible application in patient care, ultimately leading to higher-quality and more effective nursing education.
期刊介绍：
Nurse Education Today is the leading international journal providing a forum for the publication of high quality original research, review and debate in the discussion of nursing, midwifery and interprofessional health care education, publishing papers which contribute to the advancement of educational theory and pedagogy that support the evidence-based practice for educationalists worldwide. The journal stimulates and values critical scholarly debate on issues that have strategic relevance for leaders of health care education.
The journal publishes the highest quality scholarly contributions reflecting the diversity of people, health and education systems worldwide, by publishing research that employs rigorous methodology as well as by publishing papers that highlight the theoretical underpinnings of education and systems globally. The journal will publish papers that show depth, rigour, originality and high standards of presentation, in particular, work that is original, analytical and constructively critical of both previous work and current initiatives.
Authors are invited to submit original research, systematic and scholarly reviews, and critical papers which will stimulate debate on research, policy, theory or philosophy of nursing and related health care education, and which will meet and develop the journal''s high academic and ethical standards.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
