护生对人工智能的态度及焦虑程度

IF 1.9 Q2 NURSING
Abdullah Sarman, Suat Tuncay
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引用次数: 0

摘要

人工智能最近很受欢迎,它在护理中的应用正在被评估。目的了解护生对人工智能的认知水平,了解其对人工智能的态度和焦虑程度。方法对土耳其东部一所大学的护理专业学生进行横断面描述性研究。数据收集工具包括社会人口统计表格、人工智能素养量表(AILS)、对人工智能的普遍态度量表(GAAIS)和人工智能焦虑量表(AIAS)。数据分析采用R 4.1.3版本进行电子分析,包括中介分析。结果研究发现,88.5%的学生对人工智能有所了解。ChatGPT是认知度最高的应用,认知度为63.7%。此外,74.2%的人认为人工智能可以用于儿科病房/诊所,30.9%的人认为人工智能在解释疾病症状方面有潜力。结论使用人工智能的护生在ail和GAAIS上得分较高。人工智能焦虑介导了人工智能素养与对人工智能的态度之间的关系。此外,人工智能素养显著影响了人们对人工智能的普遍态度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attitudes and anxiety levels of nursing students toward artificial intelligence

Background

Artificial intelligence has recently gained popularity, and its use in nursing is being evaluated.

Aim

This study aimed to determine the AI literacy levels of student nurses and examine their attitudes and anxiety toward AI.

Methods

This cross-sectional descriptive study involved nursing students at a university in eastern Turkey. Data collection tools included a socio-demographic form, Artificial Intelligence Literacy Scale (AILS), General Attitude Towards Artificial Intelligence Scale (GAAIS), and Artificial Intelligence Anxiety Scale (AIAS). Data analysis was conducted electronically using R version 4.1.3, including mediation analysis.

Results

The study found that 88.5% of students were knowledgeable about AI. ChatGPT was the most recognized application, with 63.7% awareness. Additionally, 74.2% believed AI could be used in pediatric units/clinics, and 30.9% saw its potential in interpreting disease symptoms.

Conclusions

Student nurses who use AI scored higher on AILS and GAAIS. AI anxiety mediated the relationship between AI literacy and attitudes toward AI. Moreover, AI literacy significantly influenced general attitudes toward AI.
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来源期刊
CiteScore
2.60
自引率
10.50%
发文量
119
审稿时长
37 days
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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