The Impact of Nursing Students' Clinical Decision-making Competencies and Artificial Intelligence Anxiety on ChatGPT-based Nursing Process Training.
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 60
- 试验地点
- 2
- 主要终点
- Descriptive Information Form
研究概览
简要总结
The goal of this randomized controlled study is to determine the impact of ChatGPT based nursing process training on nursing students' clinical decision-making competencies and artificial intelligence anxiety.
Population and Sample: The population of the research consists of senior students studying at Gülhane Faculty of Nursing, University of Health Sciences. Power analysis was performed to determine the number of people to be included in the study. The power of the test was calculated with the G*Power 3.1 program. In a similar study in the relevant literature, the effect size regarding the change in clinical decision-making level was calculated as 0.898. In order to exceed the 99% value in determining the power of the study; At the 5% significance level and 0.898 effect size, 44 people, 22 people in the groups, need to be reached (df=21; t=1.721). In the research, it was aimed to reach a total of 60 people, 30 people in the groups, considering the high power of the test and the losses.
详细描述
Nurses, who are important members of the healthcare team, often encounter situations in the clinic that require them to make decisions. Nurses need to make a complex evaluation by using critical thinking and problem-solving skills in clinical decision-making.During nursing education, it is aimed at helping students acquire the skills to make this complex evaluation. To gain these skills, real-life experiences during clinical practices, case discussions, simulations, and skill laboratories can be used. It is thought that artificial intelligence applications, which have been increasingly used in recent years, can contribute to the development of clinical decision-making skills in nursing education. In this regard, this study aimed to investigate the effect of ChatGPT use training in the nursing process on nursing students' clinical decision-making competencies and artificial intelligence anxiety.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Supportive Care
- 盲法
- Single (Participant)
盲法说明
Experimental and control groups will be determined using https:// www.randomizer.org.
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Being a senior student at the faculty of nursing in the 2023-2024 academic year
- •Agreeing to participate in the research
排除标准
- •Having previously received ChatGPT training
- •Withdrawing from the research voluntarily
- •Incompletely filled forms
结局指标
主要结局
Descriptive Information Form
时间窗: 6 weeks
It was prepared by the researchers and consists of 6 questions regarding demographic characteristics and the use of artificial intelligence.
Artificial Intelligence Anxiety Scale:
时间窗: 6 weeks
Artificial Intelligence Anxiety Scale developed by Wang and Wang (2019) was adapted into Turkish by Akkaya et al (2021). The Turkish form of YZKS consists of 16 items and 4 dimensions and is a 5-point Likert type scale. The sub-dimensions are learning, job switching, sociotechnical blindness and artificial intelligence configuration.
Clinical Decision Making Scale in Nursing
时间窗: 6 weeks
The scale, which was developed to measure the clinical decision-making perceptions of nursing students based on their self-expression, was adapted into Turkish. The scale, which consists of four sub-dimensions, has 40 items. Sub-dimensions; It is stated as searching for options, declaring goals and values, evaluating and re-evaluating the results, searching for information and impartial assimilation of new information. Each subscale consists of 10 items. In the scale, 18 negative items are scored reversely. The five-point Likert type scale is scored as "Always-5, Frequently-4, Sometimes-3, Rarely-2 and Never-1" and the lowest and highest values are 40-200 for the total score of the scale and 40-200 for each sub-dimension. It varies between 10-50. High scores from the scale indicate that the perception of decision-making is high, while low scores indicate that the perception of decision-making is low.
次要结局
未报告次要终点
研究者
Belgin Varol
Assist. Prof.
Saglik Bilimleri Universitesi