一名非专业工作者进行了幼儿认知发展 (DEEP) 的数字评估:印度农村的一个纵向验证研究
Supriya Bhavnani1, Alok Ranjan1, Debarati Mukherjee2
1Child Development Group, Sangath, Saket, Delhi, India.
PLOS digital health
|May 16, 2025
概括
在电子平台上的发展评估 (DEEP) 提供了一个游戏化的数字工具,用于评估幼儿认知. 这种可扩展的方法有助于监测认知发展,并为幼儿提供及时的干预措施.
科学领域:
- 儿童发展 儿童发展
- 认知科学 认知科学
- 数字健康数字健康
背景情况:
- 儿童早期的认知发展对于长期的健康至关重要.
- 传统的认知评估工具耗时,需要专业人员.
- 在社区环境中需要可扩展,可访问的认知监控方法.
研究的目的:
- 引入和验证电子平台上的发育评估 (DEEP) 作为评估幼儿认知发展的数字工具.
- 评估DEEP认知评估的标准,预测和融合有效性.
- 评估在社区环境中使用DEEP的可行性,以早期检测认知延迟.
主要方法:
- 一项纵向研究涉及印度哈里亚那州农村的1359名39个月龄的儿童.
- 在39个月,60个月和95个月,DEEP被管理,得分是使用物品响应理论得出的.
- 通过将DEEP分数与年龄,贝利婴儿发育量表 (BSID-III),雷文彩色渐进矩阵 (CPM),学业成绩,身高年龄z分数 (HAZ),社会经济地位 (SES) 和早期生活逆境相关联来评估有效性.
主要成果:
- DEEP评分与年龄有很强的相关性 (r = 0.83),与BSID-III (r = 0.50) 和CPM (r = 0.37) 有中等的相关性.
- 在学龄前的DEEP分数预测了学龄的学术成绩 (r = 0.32).
- DEEP分数与HAZ和SES正相关,与早期生命逆境负相关,表明趋同有效性.
结论:
- DEEP是一个有效且可扩展的数字工具,用于评估幼儿的认知发展.
- 将其纳入发育监测计划可以促进对认知迟缓的监测和早期识别.
- 通过在社区环境中使用DEEP,可以实现及时干预.
相关概念视频
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