The Effect of AI-Supported Case Analysis on Nursing Students' Knowledge, Learning Satisfaction Levels, and Clinical Decision-Making Skills
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 42
- 试验地点
- 1
- 主要终点
- Knowledge level
研究概览
简要总结
The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction).
详细描述
The use of artificial intelligence in education offers numerous benefits to both students and educators. The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The study population will consist of 42 second-year nursing students enrolled in the Oncology Nursing elective course at the Faculty of Health Sciences during the 2025-2026 academic year. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction). In the study, data will be collected using the Student Information Form, Knowledge Test, Learning Satisfaction Scale, Clinical Decision-Making Scale in Nursing, and Semi-Structured Interview Form.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 盲法
- Single (Participant)
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Students who will be active second-year nursing students during the spring semester of the 2025-2026 academic year,
- •Who have previously taken the theoretical course on the nursing process,
- •Who own a smartphone with an internet connection,
- •Who have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample.
排除标准
- •Students who have not taken the elective course in oncology nursing,
- •Students who have not planned care for inpatients in internal medicine clinics during their previous clinical rotations,
- •Students who do not agree to participate in the study will not be included in the research
研究组 & 干预措施
Traditional teaching group
For students in the control group (traditional instruction group), the case analysis course will be taught by the instructor in charge using a PowerPoint presentation prepared by the researchers.
干预措施: Control Group (Other)
Artificial Intelligence Group
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
干预措施: AI-supported case (Other)
结局指标
主要结局
Knowledge level
时间窗: 2 hours
The knowledge test consists of 10 multiple-choice questions with five options each. Each question is worth 10 points, and the total test score will be calculated out of 100 points. 12 Level of knowledge
Learning satisfaction
时间窗: 2 hours
The Mentimeter application will be used to determine students' level of learning satisfaction. Students' learning satisfaction levels regarding the case analysis will be assessed on a 10-point scale, ranging from 0 (Strongly Disagree) to 10 (Strongly Agree).
Clinical decision-making skills
时间窗: 2 hours
The Turkish validity and reliability study of the scale developed by Jenkins to measure nursing students' self-reported perceptions of clinical decision-making was conducted by Durmaz-Edeer and Sarıkaya (2015). The scale consists of four sub-dimensions and a total of 40 items: exploring options and ideas, investigating goals and values, evaluating outcomes, researching information, and adopting new information impartially. The scale is a five-point Likert type, with a total score between 40 and 200, and scores between 10 and 50 for each sub-dimension. A high score indicates a high perception of clinical decision-making among students, while a low score indicates a low perception of decision-making.
次要结局
未报告次要终点
研究者
AYSER DÖNER
Assistant Professor
Nevsehir Haci Bektas Veli University