Evidence map›Paper›PMID 40176189›Full record

ArticleBMC psychology2025

Resilience and online learning emotional engagement among college students in the digital age: a perspective based on self-regulated learning theory.

Dandan Ge

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Dandan GeNanjing Institute of Technology, Nanjing, China. gedandan@njit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-efficacy perception and strategy use are two key processes for achieving self-regulated learning. Based on the perspective of self-regulated learning theory, this study explores the mediating mechanism of self-regulated learning efficacy, and strategy use (self-control and emotion regulation strategies) between resilience and online learning emotional engagement.

methodsThe study was conducted on 2182 college students from China using questionnaires, and a structural equation model was established to test the mediating effects.

resultsThe results showed that: firstly, resilience, self-regulated learning efficacy, self-control, cognitive reappraisal, and online learning emotional engagement were all significantly positively correlated with each other, while expressive suppression was significantly negatively correlated with resilience and self-control. Secondly, resilience can individually mediate online learning emotional engagement through self-regulated learning efficacy, self-control, and cognitive reappraisal. Additionally, it can indirectly predict emotional engagement in online learning by way of the chain mediating effect of self-regulated learning efficacy, self-control, and cognitive reappraisal, but the direct effect of resilience on online learning emotional engagement is not significant. Lastly, there are differences in the mediating effects between urban and rural areas.

conclusionThe results of this study provide new intervention perspectives and procedural learning support suggestions for enhancing learners' emotional engagement and optimizing their online learning experience.

Indexed as

Education, DistanceEmotional RegulationEmotionsLearningResilience, PsychologicalSelf-ControlSelf EfficacyStudentsAdolescentAdultChinaFemaleHumansInternetMaleSurveys and QuestionnairesEmotional engagementEmotion regulation strategiesOnline learningResilienceSelf-controlSelf-regulated learning efficacy

Identifiers

PMID40176189
PMCPMC11966816

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.