Evidence map›Paper›PMID 42664247›Full record

ArticlePloS one2026

Factors associated with behavioral engagement and learning satisfaction in YouTube-based informal English learning among Taiwanese undergraduate students.

Jung-Wen Hsia, Aihua Tseng

Abstract read
In one paragraph

Article in PloS one, 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
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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

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.

Jung-Wen HsiaDepartment of Counseling Psychology and Human Resource Development, National Chi Nan University, Nantou County, Taiwan.
Aihua TsengCenter for Continuing Education, National Tsing Hua University, Hsinchu City, Taiwan.ORCID https://orcid.org/0000-0001-8602-772X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As learners increasingly use open online resources for informal language learning, YouTube has become an important setting for self-directed English learning. However, less is known about how learners' motivation, confidence in using YouTube for learning, and perceptions of content quality are associated with behavioral engagement and learning satisfaction in this context. This study examined the associations of perceived usefulness, perceived enjoyment, YouTube learning self-efficacy, and content quality with behavioral engagement and learning satisfaction in YouTube-based informal English learning (YIEL). It also examined whether behavioral engagement statistically mediated the associations of these four constructs with learning satisfaction. Data were collected through a cross-sectional survey of 393 undergraduate students in Taiwan and analyzed using partial least squares structural equation modeling (PLS-SEM). All hypothesized associations were supported, and the model explained 47.6% of the variance in behavioral engagement and 64.7% of the variance in learning satisfaction. Behavioral engagement also statistically mediated the associations between these four constructs and learning satisfaction. The findings indicate that perceived usefulness, perceived enjoyment, YouTube learning self-efficacy, and content quality were associated with both behavioral engagement and learning satisfaction, and that behavioral engagement was also associated with learning satisfaction. Together, these findings extend current understanding of YIEL by highlighting behavioral engagement both as an outcome associated with these four focal constructs and as a statistical mediator of their associations with learning satisfaction.

Indexed as

LanguageLearningPersonal SatisfactionSocial MediaStudentsAdultCross-Sectional StudiesFemaleHumansMaleMotivationSelf EfficacySurveys and QuestionnairesTaiwanUniversitiesYoung Adult

Identifiers

PMID42664247
PMCPMC13524258

What OpenQuestion holds

Textmetadata
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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.