通过使用机器学习和传统统计数据,识别跨文化学生福祉的顶级预测因素
Ronnel B King1, Yi Wang2, Lingyi Fu3
1Department of Curriculum and Instruction, Faculty of Education, The Chinese University of Hong Kong, Hong Kong, China. rbking@cuhk.edu.hk.
Scientific reports
|April 10, 2024
概括
学生的福祉至关重要. 学校的归属感和意义感是生活满意度,积极影响和不同文化中负面影响的关键预测因素.
科学领域:
- 教育心理学教育心理学
- 发展心理学 发展心理学
- 跨文化心理学 跨文化心理学
背景情况:
- 越来越强调学生的福祉超越学术.
- 需要确定普遍和特定环境的幸福预测因素.
研究的目的:
- 检查青少年主观幸福感的预测因素 (生活满意度,积极/消极影响).
- 使用生物生态理论调查人,过程和上下文因素.
主要方法:
- 分析了来自71个国家的522,836名中学生的数据.
- 利用机器学习 (光梯度增强机器) 和层次线性建模.
主要成果:
- 学校的归属感和意义感始终在全球范围内预测了福祉的维度.
- 确定了生活满意度,积极影响和负面影响的明显预测因素.
- 诸如父母的支持,害怕失败,弹性,性别和人均GDP等因素也起到了作用.
结论:
- 学校的归属感和意义感是全球青少年福祉的基础.
- 量身定制的干预措施可以解决特定的福祉维度.
- 调查结果突出了幸福感决定因素的跨文化共同点.
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