预测技术压力:个性和主观幸福感的五大模型
Dámaris Cuadrado1, Inmaculada Otero1, Alexandra Martínez1
1Department of Political Science and Sociology, University of Santiago de Compostela, Santiago de Compostela, Spain.
PloS one
|November 4, 2024
概括
这项研究发现,人格特征和主观幸福感 (SWB) 显著预测了大学生中的技术压力. 更高的情绪稳定性,开放性和SWB与较低的技术压力相关.
科学领域:
- 心理学 心理学 心理学
- 教育技术的教育技术
- 人与计算机的交互
背景情况:
- 技术压力在学术环境中是一个日益关注的问题.
- 了解它与个体差异的关系至关重要.
研究的目的:
- 检查欧洲大学生中技术压力的流行情况.
- 探索技术压力,个性 (五大) 和主观幸福感 (SWB) 之间的联系.
- 评估人格和SWB对技术压力的预测能力.
主要方法:
- 使用了相关性和多重回归分析.
- 样本: 346 名本科生.
- 评估了技术压力尺寸,五大个性特征和SWB组件.
主要成果:
- 疲劳和焦虑是最常见的技术压力因素.
- 情绪稳定,对经验的开放性和SWB与技术压力有负相关性.
- 五大和SWB解释了显著的技术差异差异,SWB的情感成分是最强的预测因素.
结论:
- 人格特征和主观幸福感是预测技术压力的关键因素.
- 这些发现有助于人们更好地理解高等教育中的技术压力.
- 讨论了旨在减轻技术压力的干预措施的影响.
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