{"title":"人工智能强化汇报对护理专业学生临床技能发展的影响：比较研究","authors":"Mohamed Benfatah PhD (c) , Ibtissam Youlyouz-Marfak PhD , Elmadani Saad PhD , Abderraouf Hilali PhD , Chakib Nejjari PhD , Abdelghafour Marfak PhD","doi":"10.1016/j.teln.2024.04.007","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The integration of artificial intelligence (AI) in nursing education offers promising avenues to enhance students’ clinical learning. This study explores the impact of AI in simulation debriefing on students’ clinical development.</p></div><div><h3>Methodology</h3><p>Forty nursing students were recruited and randomly assigned to two groups: an experimental group receiving AI-assisted debriefing and a control group receiving debriefing without AI. Simulation sessions were recorded and analyzed using AI technologies to provide personalized feedback to the experimental group students.</p></div><div><h3>Results</h3><p>The AI-assisted debriefing group showed a significant improvement in confidence, knowledge and skills, and satisfaction compared to the control group. Additionally, increased active participation and critical reflection were observed in the experimental group.</p></div><div><h3>Conclusion</h3><p>The integration of AI in nursing simulation debriefing demonstrates significant potential to enhance student learning.</p></div>","PeriodicalId":46287,"journal":{"name":"Teaching and Learning in Nursing","volume":"19 3","pages":"Pages e574-e579"},"PeriodicalIF":1.9000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of artificial intelligence-enhanced debriefing on clinical skills development in nursing students: A comparative study\",\"authors\":\"Mohamed Benfatah PhD (c) , Ibtissam Youlyouz-Marfak PhD , Elmadani Saad PhD , Abderraouf Hilali PhD , Chakib Nejjari PhD , Abdelghafour Marfak PhD\",\"doi\":\"10.1016/j.teln.2024.04.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>The integration of artificial intelligence (AI) in nursing education offers promising avenues to enhance students’ clinical learning. This study explores the impact of AI in simulation debriefing on students’ clinical development.</p></div><div><h3>Methodology</h3><p>Forty nursing students were recruited and randomly assigned to two groups: an experimental group receiving AI-assisted debriefing and a control group receiving debriefing without AI. Simulation sessions were recorded and analyzed using AI technologies to provide personalized feedback to the experimental group students.</p></div><div><h3>Results</h3><p>The AI-assisted debriefing group showed a significant improvement in confidence, knowledge and skills, and satisfaction compared to the control group. Additionally, increased active participation and critical reflection were observed in the experimental group.</p></div><div><h3>Conclusion</h3><p>The integration of AI in nursing simulation debriefing demonstrates significant potential to enhance student learning.</p></div>\",\"PeriodicalId\":46287,\"journal\":{\"name\":\"Teaching and Learning in Nursing\",\"volume\":\"19 3\",\"pages\":\"Pages e574-e579\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-05-07\",\"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/S155730872400088X\",\"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/S155730872400088X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
Impact of artificial intelligence-enhanced debriefing on clinical skills development in nursing students: A comparative study
Background
The integration of artificial intelligence (AI) in nursing education offers promising avenues to enhance students’ clinical learning. This study explores the impact of AI in simulation debriefing on students’ clinical development.
Methodology
Forty nursing students were recruited and randomly assigned to two groups: an experimental group receiving AI-assisted debriefing and a control group receiving debriefing without AI. Simulation sessions were recorded and analyzed using AI technologies to provide personalized feedback to the experimental group students.
Results
The AI-assisted debriefing group showed a significant improvement in confidence, knowledge and skills, and satisfaction compared to the control group. Additionally, increased active participation and critical reflection were observed in the experimental group.
Conclusion
The integration of AI in nursing simulation debriefing demonstrates significant potential to enhance student learning.
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
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