心理学
结构方程建模
集合(抽象数据类型)
认知心理学
机制(生物学)
情感表达
社会心理学
计算机科学
哲学
认识论
机器学习
程序设计语言
作者
Changqin Huang,Linjie Zhang,Tao He,Xuemei Wu,Yafeng Pan,Zhongmei Han,Wenzhu Zhao
标识
DOI:10.1080/01443410.2023.2254524
摘要
Understanding the mechanism of emotion regulation and the formation of emotional engagement can improve online learning persistence and academic performance. This study was set to pinpoint the potential pathways between emotion regulation and emotional engagement through meta-emotion and develop a predictive model for online emotional engagement. The data collected from 302 college students were analysed using a two-stage structural equation modelling-artificial neural network approach. Firstly, the path analysis implied the significant linkages from emotion regulation to emotional engagement through emotional repair. Secondly, the artificial neural network analysis results suggested that emotional repair contributed to the development of emotional engagement most, and the current model predicted emotional engagement with an accuracy of 91.1%. The main contribution of the present study is providing empirical evidence to predict emotional engagement from novel perspectives through a two-stage approach.
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