人工智能聊天机器人与数字健康中的基于网络的学习:为护理学生改善干眼综合征知识的随机试验
Ugur Dogan1, Ibrahim Edhem Yilmaz2
1Department of Nursing, Kilis 7 Aralik University, Kilis, Turkey.
Informatics for health & social care
|December 4, 2025
概括
人工智能 (AI) 聊天机器人和网站同样提高了护理学生的干眼综合征知识. 然而,AI聊天机器人在教育内容中提供了卓越的质量,可读性和可理解性.
科学领域:
- 数字健康数字健康
- 健康 专业 教育 卫生 专业 教育
- 眼科医生 眼科 眼科
背景情况:
- 人工智能聊天机器人提供交互式,个性化的健康教育.
- 对传统方法的验证对于AI教育工具至关重要.
- 干眼综合征知识对于护理学生至关重要.
研究的目的:
- 将AI聊天机器人的有效性与基于网站的干眼综合征知识获取的学习进行比较.
- 对知识质量,可读性,可理解性和可操作性评估人工智能生成的内容.
- 评估AI在护理教育数字化转型中的作用.
主要方法:
- 随机对照研究涉及本科护理学生.
- 两周的干预比较人工智能聊天机器人 (Gemini 2.0) 与一个网站.
- 干眼综合征知识问卷,干眼综合征知识问卷,干眼综合征知识问卷,干眼综合征知识问卷.
主要成果:
- 人工智能聊天机器人和网站组都显示出显著的知识获取.
- 两组之间的知识获取没有显著差异.
- 人工智能聊天机器人的内容展示了卓越的知识质量,可读性,可理解性和可操作性.
结论:
- 人工智能聊天机器人可以有效地提高干眼综合征教育.
- 人工智能聊天机器人通过个性化,交互式内容改善健康促进.
- 人工智能聊天机器人展示了数字护理教育转型的实际策略.
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