Profiling student’s psychological capital and risk for learner burnout: Results and implications of a Chinese study

The current study conducted the psychological capital profiles and the relation between profile memberships and learning burnout among undergraduates. Participants were 541 Chinese undergraduates ranging from 18 to 21 years old (48.2% male; Mean years = 19.54, SD = 1.09 years). Latent profile analysis revealed three categories of psychological capital profile consistent high psychological capital profile (50.5%), consistent low psychological capital profile (38.1%), and dominate loss-orientated psychological capital profile (11.4%). The undergraduates in consistent high profile reported high self-efficacy, resilience, hope, and optimism. Consistent low profile characterized by a little low (~0.50 SD below the M) self-efficacy, resilience, hope, and optimism. Dominant loss-orientated profile displayed low self-efficacy, hope, optimism, but a little relatively high resilience. Specifically, undergraduates in consistent high profile exhibited low level of learning burnout; while undergraduates with low level of psychological capital (i.e., consistent low profile and dominate loss-orientated profile) reported high level of learning burnout. The findings have theoretical significance which provides important knowledge about psychological capital profile among Chinese undergraduates. They have practical implications for student counselling and development providing person-centric support to students based on their individual psychological profiles.

Authors

Institutions

Publication Details

Journal
Journal of Psychology in Africa
Published
2025-01-01
DOI
https://doi.org/10.32604/jpa.2025.065778
Citations
1
Primary Topic
Emotional Intelligence and Performance
Type
article
Field-Weighted Citation Impact
2.44

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Profiling student’s psychological capital and risk for learner burnout: Results and implications of a Chinese study

Xiaomei Yang, Mei Wu, Ruijun Song, Yi Cao et al.
1 citations
Journal of Psychology in Africa
Emotional Intelligence and Performance
2.44
article

Profiling student’s psychological capital and risk for learner burnout: Results and implications of a Chinese study

Xiaomei Yang, Mei Wu, Ruijun Song, Yi Cao, Ning Yuan, Xichen Qin, Jiheun Hong
article en
1 citations

Abstract

The current study conducted the psychological capital profiles and the relation between profile memberships and learning burnout among undergraduates. Participants were 541 Chinese undergraduates ranging from 18 to 21 years old (48.2% male; Mean years = 19.54, SD = 1.09 years). Latent profile analysis revealed three categories of psychological capital profile consistent high psychological capital profile (50.5%), consistent low psychological capital profile (38.1%), and dominate loss-orientated psychological capital profile (11.4%). The undergraduates in consistent high profile reported high self-efficacy, resilience, hope, and optimism. Consistent low profile characterized by a little low (~0.50 SD below the M) self-efficacy, resilience, hope, and optimism. Dominant loss-orientated profile displayed low self-efficacy, hope, optimism, but a little relatively high resilience. Specifically, undergraduates in consistent high profile exhibited low level of learning burnout; while undergraduates with low level of psychological capital (i.e., consistent low profile and dominate loss-orientated profile) reported high level of learning burnout. The findings have theoretical significance which provides important knowledge about psychological capital profile among Chinese undergraduates. They have practical implications for student counselling and development providing person-centric support to students based on their individual psychological profiles.

Journal of Psychology in AfricaVol. 35(2)
Changsha Normal University (CN)
Education Department of Hunan Province
Openalex Percentile: Top 12%
Emotional Intelligence and Performance
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.