Department of Surgical Nursing, Erciyes University, Faculty of Health Sciences, Kayseri, Turkey.
Nurse Educ Pract. 2024 Oct;80:104142. doi: 10.1016/j.nepr.2024.104142. Epub 2024 Sep 12.
Rapid developments in artificial intelligence have begun to necessitate changes and transformations in nursing education.
This study aimed to evaluate the impact of an artificial intelligence-supported case created in the in-class case analysis lecture for nursing students on students' case management performance and satisfaction.
This study was a randomized controlled trial.
The study involved 188 third-year nursing students randomly assigned to the AI group (n=94) or the control group (n=94). An information form, case evaluation form, knowledge test and Mentimeter application were used to assess the students' case management performance and nursing diagnoses. The level of satisfaction with the case analysis lecture was evaluated using the VAS scale.
The case management performance scores of the students in the artificial intelligence group were significantly higher than those of the control group (p<0.05). There was no statistically significant difference in satisfaction levels between the artificial intelligence (AI) group and the control group (p>0.05).
The study's results indicated that AI-supported cases improved students' case management performance and were as effective as instructor-led cases regarding satisfaction with the case analysis lecture, focus and interest in the case. The integration of artificial intelligence into traditional nursing education curricula is recommended.
gov; (NCT06443983).
人工智能的快速发展已经开始要求护理教育进行变革和转型。
本研究旨在评估为护理学生设计的人工智能支持的案例在课堂案例分析讲座中对学生案例管理表现和满意度的影响。
这是一项随机对照试验。
研究涉及 188 名三年级护理学生，他们被随机分配到人工智能组（n=94）或对照组（n=94）。使用信息表、案例评估表、知识测试和 Mentimeter 应用程序评估学生的案例管理表现和护理诊断。使用视觉模拟量表（VAS）评估对案例分析讲座的满意度。
人工智能组学生的案例管理表现评分明显高于对照组（p<0.05）。人工智能组和对照组在满意度水平上没有统计学差异（p>0.05）。
研究结果表明，人工智能支持的案例提高了学生的案例管理表现，并且在案例分析讲座的满意度、焦点和兴趣方面与教师主导的案例一样有效。建议将人工智能纳入传统护理教育课程。
gov;（NCT06443983）。
