在学习中依赖ChatGPT:为护理学生构建和验证依赖ChatGPT规模 (ROCS-NS):使用结构方程建模 (SEM)
Mohamed E H Elzeky1, Noha F M Shahine2
1Medical-Surgical Nursing Department, College of Nursing, Jouf University, Sakaka, Saudi Arabia; Medical-Surgical Nursing Department, Faculty of Nursing, Mansoura University, Mansoura, Egypt.
Nurse education in practice
|December 27, 2025
概括
开发了一个新的尺度来衡量护理学生对ChatGPT学习的依赖. 这个工具对于评估ChatGPT在教育中的使用是有效和可靠的.
科学领域:
- 教育技术的教育技术
- 护理教育 护理教育
- 心理测量 心理测量 心理测量
背景情况:
- 在教育中广泛使用ChatGPT需要了解学生的依赖.
- 对像ChatGPT这样的AI工具的依赖量化对于教育研究和实践至关重要.
研究的目的:
- 开发和验证一种心理测量尺度,用于评估护理学生在学习中对ChatGPT的依赖.
- 为教育工作者和研究人员提供一个工具,根据他们的ChatGPT依赖来对学生进行分类.
主要方法:
- 一项方法研究遵循了既定的规模开发框架.
- 一个三个阶段的过程涉及项目池生成,初步评估和心理测量分析.
- 该尺度的有效性 (面部,内容,构造) 和可靠性 (内部一致性,时间稳定性) 被评估了633名护理学生.
主要成果:
- 开发的尺度显示了0.89.9的内容有效性指数.
- 主要组件分析在四个子维度中确定了29个项目,解释了70.031%的差异.
- 确认因素分析显示了可接受的适应指数,可靠性分析证实了良好的内部一致性和测试-重新测试稳定性.
结论:
- "依赖聊天GPT规模护理学生"是一个心理测量声音的仪器.
- 这种尺度有效地衡量了对ChatGPT的学习依赖程度,使教育工作者和研究人员受益.
- 未来的研究应该探索ChatGPT依赖教育成果的纵向影响.
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