Evidence map›Paper›PMID 41554809›Full record

ArticleScientific reports2026

Continuance intention to use mobile learning among college students: integrating quality factors and the expectation confirmation model.

Xin Qiu, Jianping Wu, Huixian Li

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Xin QiuSchool of Literature, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi, China.
Jianping WuSchool of Science, Hunan University of Science and Engineering, Yongzhou, Hunan, China.
Huixian LiBasic Teaching Department, Hebei Vocational University of Industry and Technology, Shijiazhuang, Hebei, China. xunwei200711@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In light of the exponential rise of mobile device usage and advancements in information technology, mobile learning has ascended as an integral conduit for information and knowledge acquisition among educators and learners. Based on the expectation confirmation model, this study examines the mechanisms by which quality factors influence the continuance intention toward mobile learning among university students. A random sampling methodology was employed, yielding a robust sample of 278 students across three educational institutions in Jiangxi Province. A Partial Least Squares Structural Equation Modeling approach was used to analyze the data. The outcomes manifested significant positive associations across all relationships, with the exceptions being between system quality and perceived usefulness, information quality and confirmation, and service quality and perceived usefulness. Additionally, the study found no gender differences in the correlations between perceived usefulness and continuance intention or satisfaction and continuance intention. Based on these findings, the authors present suggestions for educational institutions, educators, system designers, and researchers to enhance the continuance intention to use mobile learning among college students.

Indexed as

Education, DistanceIntentionLearningStudentsChinaFemaleHumansMaleUniversitiesYoung AdultContinuance intentionExpectation confirmation modelMobile learningQuality

Identifiers

PMID41554809
PMCPMC12891481

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.