Evidence map›Paper›PMID 39985038›Full record

ArticleBMC psychology2025

Managing online learning burnout via investigating the role of loneliness during COVID-19.

Hongxia Li, Juan Yang

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 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

2 authors.

Hongxia LiCollege of Computer Science, Sichuan Normal University, 5 Jing' an Rd, Chengdu Sichuan, 680000, China.
Juan YangCollege of Computer Science, Sichuan Normal University, 5 Jing' an Rd, Chengdu Sichuan, 680000, China. juan_yang@foxmail.com.

Funding

National Natural Science Foundation of China Youth Project 62407032Sichuan Province education science planning project SCJG24C163
6 · The paper itself

Abstract

backgroundLearning burnout, which is a negative state of learning and seriously reduces learning engagement, has become more prevalent in online instruction. Especially during the COVID-19, loneliness during the online learning has attracted a great deal of attention from researchers, who have found that it exacerbates the risk of social media addiction and increase rates of depression. However, the relationship between loneliness and academic burnout in online formal learning has not been well explored in previous studies. Therefore, the present study explores whether and to what extent loneliness suffered by students in online formal learning triggers academic burnout, and whether there are factors that buffer the effects of loneliness on academic burnout, thus filling the gap in the current research.

methodsUsing self-reported data from 618 college students from central China through convenience sampling, this paper used hierarchical linear regression to test the direct effect of loneliness on learning burnout. Three moderation was conducted to reveal the role that 3 interesting factors (academic buoyancy, social presence and online learning duration) play in the relationship between loneliness and online learning burnout.

resultsWe found that loneliness triggered burnout in online learning, while social presence relieve burnout. However, academic buoyancy, social presence and online learning duration cannot buffer against the online learning burnout caused by loneliness.

conclusionsLoneliness in online learning should not be ignored, as it can cause different degrees of learning burnout, no matter whether learners have high or low academic buoyancy and social presence. Future research should continue to investigate how to alleviate loneliness in online learning.

Indexed as

Burnout, PsychologicalCOVID-19Education, DistanceLonelinessStudentsAdultChinaFemaleHumansMaleSARS-CoV-2UniversitiesYoung AdultAcademic buoyancyLearning burnoutLonelinessOnline learningSocial presence

Identifiers

PMID39985038
PMCPMC11846307

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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.