聊天机器人在临床营养教育中的创新应用:大学生中的E+DIEting_Lab经验
Iñaki Elío1,2,3, Kilian Tutusaus4,5, Imanol Eguren-García1
1Research Group on Foods, Nutritional Biochemistry and Health, European University of the Atlantic, 39011 Santander, Spain.
Nutrients
|January 28, 2026
概括
人工智能 (AI) 聊天机器人增强了营养学学生的临床营养培训. E+DIEting_Lab平台提高了实践技能和能力,支持AI在健康教育中的整合.
科学领域:
- 健康 专业 教育 卫生 专业 教育
- 医疗保健中的人工智能
- 数字健康工具 数字健康工具
背景情况:
- 人工智能 (AI) 和聊天机器人的整合为卫生专业人员培训提供了创新的教育机会.
- 这项研究的重点是用于临床营养教育的E+DIEting_Lab聊天机器人平台.
研究的目的:
- 评估E+DIEting_Lab聊天机器人平台对教育的影响和学生的看法.
- 在临床营养培训中评估聊天机器人的实用性,可用性和设计.
主要方法:
- 一项试点研究涉及475名欧洲大学的人类营养和营养学专业的大学生.
- 交互前和后的调查评估了知识,技能和态度,使用描述性统计和t测试分析数据.
主要成果:
- 学生报告了显著的感知学习收益,包括改善的实践技能 (79.7%) 和增强的人际交往技能 (73.9%).
- 在使用聊天机器人方面,自我评价能力显著增加 (p < 0.001),知识分数从 2.32 增加到 2.66 ,技能从 2.39 增加到 2.79.
- 感知到的有效性和有用性仍然是积极的,表明使用后的精细但有利的观点.
结论:
- 通过数字模拟,E+DIEting_Lab聊天机器人平台有效地提高了通过数字模拟感知到的临床营养能力.
- 研究结果支持在饮食学课程中采用人工智能聊天机器人,以加强数字教育.
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