改善秘鲁儿童发展的数字支持系统:一个集群随机控制的开放标签试验
Günther Fink1,2, Dana Charles McCoy3, Lena Jäggi1,2
1Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Science advances
|March 4, 2026
概括
数字育儿聊天机器人和家庭访问都改善了儿童早期发展 (ECD). 人工智能聊天机器人更具成本效益,为资源有限的设置提供了可扩展的解决方案.
科学领域:
- 数字健康数字健康
- 发展心理学 发展心理学
- 公共卫生干预措施 公共卫生干预措施
背景情况:
- 儿童早期发展 (ECD) 干预对于长期结果至关重要.
- 在资源有限的环境中扩大有效的ECD干预仍然是一个挑战.
- 数字技术为个性化,大规模的支持提供了潜力.
研究的目的:
- 与传统的家庭访问相比,评估数字育儿聊天机器人的有效性和成本效益.
- 评估这些干预措施对儿童发展结果的影响.
- 确定数字平台的可行性在低资源环境中用于ECD.
主要方法:
- 在秘鲁农村进行集群随机对照试验.
- 涉及2461个照顾者-儿童二合体.
- 将人工智能支持的数字育儿聊天机器人与传统的家庭访问进行了比较.
主要成果:
- 数字和家庭访问干预措施都显著改善了2.5岁的儿童发展结果.
- 标准化效果大小为数字干预的0.11和家庭访问的0.17.
- 数字干预的成本是面对面的支持成本的1/15,显示出更高的成本效益.
结论:
- 数字平台,特别是人工智能驱动的聊天机器人,对于改善幼儿发展来说是有效的和非常具有成本效益的.
- 这些数字干预在资源有限的环境中,为传统方法提供了可扩展的替代方案.
- 技术可以弥合在全球范围内向幼儿提供必要的发展支持方面的差距.
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