思想重要:通过使用ANN模型探索大学生心理因素和认知能力的交叉点
Mohsin Khan1, Syed Khalid Perwez2, Rahul Paul Gaddam2
1Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India.
Neuropsychiatric disease and treatment
|January 29, 2024
概括
这项研究发现,在印度大学生中,较高水平的抑郁,焦虑和压力与较低的认知表现有关. 解决学生心理健康问题对于增强认知功能至关重要.
科学领域:
- 认知心理学 认知心理学
- 心理健康研究 心理健康研究
- 教育心理学教育心理学
背景情况:
- 以前的研究表明,心理因素与认知能力之间存在联系.
- 这一领域的研究在印度等发展中国家是有限的,这些发展中国家具有独特的社会经济文化背景.
研究的目的:
- 调查心理变量 (抑郁,焦虑,压力) 和印度学生的认知功能之间的关系.
- 根据这些心理变量来预测认知表现.
主要方法:
- 系统地选择了413名大学生,使用有目的的抽样.
- 利用经过验证的离线问卷进行心理和认知评估.
- 使用相关性分析和人工神经网络 (ANN) 模型进行预测.
主要成果:
- 在情绪困扰和认知功能之间观察到负相关性.
- 主要组件分析 (PCA) 确定了为模型做出贡献的关键特征.
- 根据心理变量,ANN模型显示了基于认知水平的适度预测准确性.
结论:
- 证实了印度大学生情绪状态和认知能力之间的显著关联.
- 提供证据表明,较高的压力,焦虑和抑郁与较低的认知测试表现相关.
- 强调心理健康干预措施对于改善学生认知功能的重要性.
关键词:
这就是DASS DASS.印度人 印度人 印度人 印度人这就是MoCA MoCA.蒙特利尔的认知评估人工神经网络的人工神经网络大学生,大学生,学生.抑郁 焦虑 压力评分 压力评分发展中国家经济体的发展.功能减少的功能减少.功能权重 功能权重预测性表现的预测性表现.更多相关视频
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