A person-centered perspective in assessing college students′ self-regulated learning in an online learning environment: potential profiles, antecedents, and outcomes

Self-regulated learning (SRL) is crucial for academic success in online learning. Previous studies have employed a variable-centered approach to examine the relationship between students’ SRL and a variety of determinants and consequences. However, few studies employ a person-centered approach to categorize students’ self-regulated learning and examine its predictors and outcomes, especially the non-academic outcomes. Therefore, this study employed a person-centered approach to identify profiles of self-regulated learners and investigate how SRL profile membership is predicted by factors in an online learning environment as well as the differences in learning engagement and well-being across SRL profiles. This study surveyed 385 college students from China. Four SRL profiles were identified using latent profile analysis (LPA), namely: low, below average with high ES, average, and high SRL profiles. Results indicated that the four profiles differed in the extent to which students employed SRL strategies. Additionally, we ran the three-step (R3STEP) command to examine the predictive role of online learning environments (OLE). Finally, the Block-Croon-Hagenaars approach (BCH) was conducted to reveal the differences in learning engagement and well-being across SRL profiles. The multinomial logistic regression results indicated that SRL profile membership is significantly predicted by contextual factors, including pedagogical, social, and technical affordances. The behavioral, cognitive, emotional engagement, and well-being differed significantly among the four profiles. More specifically, the factors of OLE are antecedents of SRL profile membership, and SRL could enhance learning engagement and well-being. The findings contribute to a deeper understanding of students’ self-regulated learning profiles and the underlying mechanisms of online learning engagement and well-being, offering practical implications for both educators and researchers in higher education. Moreover, this study provides theoretical and empirical implications for subsequent studies.

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Publication Details

Journal
International Journal of Educational Technology in Higher Education
Published
2025-11-06
DOI
https://doi.org/10.1186/s41239-025-00564-8
Primary Topic
Innovative Teaching and Learning Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

A person-centered perspective in assessing college students′ self-regulated learning in an online learning environment: potential profiles, antecedents, and outcomes

Jiali Chen, Yantao Wei, Mingyue Wu, Qifei Dong et al.
International Journal of Educational Technology in Higher Education
Innovative Teaching and Learning Methods
article

A person-centered perspective in assessing college students′ self-regulated learning in an online learning environment: potential profiles, antecedents, and outcomes

Jiali Chen, Yantao Wei, Mingyue Wu, Qifei Dong, K. Zhu, Yafei Shi
article en

Abstract

Self-regulated learning (SRL) is crucial for academic success in online learning. Previous studies have employed a variable-centered approach to examine the relationship between students’ SRL and a variety of determinants and consequences. However, few studies employ a person-centered approach to categorize students’ self-regulated learning and examine its predictors and outcomes, especially the non-academic outcomes. Therefore, this study employed a person-centered approach to identify profiles of self-regulated learners and investigate how SRL profile membership is predicted by factors in an online learning environment as well as the differences in learning engagement and well-being across SRL profiles. This study surveyed 385 college students from China. Four SRL profiles were identified using latent profile analysis (LPA), namely: low, below average with high ES, average, and high SRL profiles. Results indicated that the four profiles differed in the extent to which students employed SRL strategies. Additionally, we ran the three-step (R3STEP) command to examine the predictive role of online learning environments (OLE). Finally, the Block-Croon-Hagenaars approach (BCH) was conducted to reveal the differences in learning engagement and well-being across SRL profiles. The multinomial logistic regression results indicated that SRL profile membership is significantly predicted by contextual factors, including pedagogical, social, and technical affordances. The behavioral, cognitive, emotional engagement, and well-being differed significantly among the four profiles. More specifically, the factors of OLE are antecedents of SRL profile membership, and SRL could enhance learning engagement and well-being. The findings contribute to a deeper understanding of students’ self-regulated learning profiles and the underlying mechanisms of online learning engagement and well-being, offering practical implications for both educators and researchers in higher education. Moreover, this study provides theoretical and empirical implications for subsequent studies.

International Journal of Educational Technology in Higher EducationVol. 22(1)
Central China Normal University (CN), Henan Normal University (CN)
National Natural Science Foundation of China, Ministry of Education, India, Central China Normal University, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 64%
Innovative Teaching and Learning Methods
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