Evidence map›Paper›PMID 42846159›Full record

ArticleFrontiers in psychology2026

Understanding MOOC discontinuous usage intention: the roles of overload, fatigue, and dissatisfaction.

Ting Lu, Chengyi Le

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ting LuSchool of Marxism Studies, Ningbo University, Ningbo, China.
Chengyi LeMerchants' Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the links between information overload, system feature overload, social overload, and expectation disconfirmation with fatigue, dissatisfaction, and discontinuous usage among MOOC learners. We use survey data from Chinese university students, applying the Stressor-Strain-Outcome (SSO) model, cognitive overload theory, and expectation-disconfirmation theory, and test how overload and unmet expectations are associated with emotional burdens, learning experiences, and the intention to disengage. The results indicate that all three overload dimensions were positively associated with usage fatigue. Usage fatigue was also positively associated with dissatisfaction within the specified model. Gender moderated the dissatisfaction-discontinuous usage intention association, which was somewhat stronger among female participants in this sample. This study contributes to research on overload and emotional burden in educational MOOCs. Findings provide theoretical and practical implications for MOOC platform design and learner support.

Indexed as

cognitive overloaddiscontinuous usage intentionmassive open online courses (MOOCs)stressor-strain-outcome frameworkusage fatigue

Identifiers

PMID42846159
PMCPMC13642562

What OpenQuestion holds

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Registered trials

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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.