Latent profile analysis of university students' self-management and self-monitoring in the links among motivation, engagement, and wellbeing

被引:0
|
作者
Zhao, Rui [1 ]
Ling, Tianye [2 ]
机构
[1] Zhejiang Ocean Univ, Sch Econ & Management, Zhoushan, Peoples R China
[2] Hanyang Univ, Coll Educ, Dept Educ, Seoul, South Korea
来源
FRONTIERS IN PSYCHOLOGY | 2022年 / 13卷
关键词
self-directed learning; higher education; self-management; self-monitoring; latent profile analysis;
D O I
10.3389/fpsyg.2022.1023920
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
This study drew on Garrison's self-directed learning model for university students in a self-determination theory framework. We adopted a person-centered approach to explore the different combinations of self-management and self-monitoring. Using a sample of Chinese university students (N = 142), we obtained the following data via a self-report survey: autonomous motivation, controlled motivation, self-management, self-monitoring, academic engagement, and wellbeing. Latent profile analysis (LPA) distinguished three self-management and self-monitoring profiles, which are "very low/low," "high/high," and "low/very low." Profiles with a high level of self-management and self-monitoring were positively connected with adaptive outcomes and linked to autonomous motivation. Implications are outlined for theory and practice.
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收藏
页数:9
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