How do distance learners self-regulate learning? A latent profile analysis of self-regulated learning and its relationship with self-regulatory efficacy, motivation, need satisfaction, need frustration, academic achievement, and well-being

Self-regulated learning (SRL) is important for academic success in flexible learning environments such as online distance education. In this study, we explored the relationship between SRL and factors such as self-regulatory efficacy, motivation, psychological need satisfaction, mental well-being, and academic achievement among 1151 distance learners using mixture modeling. Latent profile analysis identified five SRL profiles varying from poor (i.e., Low and Minimal profiles) to proactive SRL (i.e., Social, Moderate, and Independent profiles) based on self-reported SRL strategies (e.g., task understanding and time management). Self-regulatory efficacy was an important differentiator between poor and proactive SRL, while competence frustration correlated with membership in proactive profiles. Relatedness satisfaction predicted membership in the Social SRL profile (49.6 %), emphasizing the importance of online social presence in supporting SRL. Moreover, higher academic achievement and well-being were linked to Low, Social, or Independent profiles rather than Minimal or Moderate ones. These findings highlight how distance learners self-regulate and how the learning context influences SRL. • 5 unique SRL profiles were identified in a sample of distance education learners. • SRL profiles were mostly moderate but differed on task value and social engagement. • Self-regulatory efficacy predicted poor from proactive profile membership. • Autonomous motivation was not a predictor of proactive profile membership. • Profile differences in achievement and well-being were found.

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Publication Details

Journal
Learning and Individual Differences
Published
2025-03-17
DOI
https://doi.org/10.1016/j.lindif.2025.102678
Citations
4
Primary Topic
Innovative Teaching and Learning Methods
Type
article
Field-Weighted Citation Impact
13.78
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article

How do distance learners self-regulate learning? A latent profile analysis of self-regulated learning and its relationship with self-regulatory efficacy, motivation, need satisfaction, need frustration, academic achievement, and well-being

Rob Martens, Renate H. M. de Groot, Lisette Wijnia, Samantha G. Vos
4 citations
Learning and Individual Differences
Innovative Teaching and Learning Methods
13.78
article

How do distance learners self-regulate learning? A latent profile analysis of self-regulated learning and its relationship with self-regulatory efficacy, motivation, need satisfaction, need frustration, academic achievement, and well-being

Rob Martens, Renate H. M. de Groot, Lisette Wijnia, Samantha G. Vos
article en
4 citations

Abstract

Self-regulated learning (SRL) is important for academic success in flexible learning environments such as online distance education. In this study, we explored the relationship between SRL and factors such as self-regulatory efficacy, motivation, psychological need satisfaction, mental well-being, and academic achievement among 1151 distance learners using mixture modeling. Latent profile analysis identified five SRL profiles varying from poor (i.e., Low and Minimal profiles) to proactive SRL (i.e., Social, Moderate, and Independent profiles) based on self-reported SRL strategies (e.g., task understanding and time management). Self-regulatory efficacy was an important differentiator between poor and proactive SRL, while competence frustration correlated with membership in proactive profiles. Relatedness satisfaction predicted membership in the Social SRL profile (49.6 %), emphasizing the importance of online social presence in supporting SRL. Moreover, higher academic achievement and well-being were linked to Low, Social, or Independent profiles rather than Minimal or Moderate ones. These findings highlight how distance learners self-regulate and how the learning context influences SRL. • 5 unique SRL profiles were identified in a sample of distance education learners. • SRL profiles were mostly moderate but differed on task value and social engagement. • Self-regulatory efficacy predicted poor from proactive profile membership. • Autonomous motivation was not a predictor of proactive profile membership. • Profile differences in achievement and well-being were found.

Learning and Individual DifferencesVol. 120
Open University of the Netherlands (NL)
Quality Education
Openalex Percentile: Top 2%
Innovative Teaching and Learning Methods
13.78
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How do distance learners self-regulate learning? A latent profile analysis of self-regulated learning and its relationship with self-regulatory efficacy, motivation, need satisfaction, need frustration, academic achievement, and well-being — Rob Martens, Renate H. M. de Groot, et al. · Learning and Individual Differences (2025) | TGRS Research Map | TGRS