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

**Authors:** Xin Qiu, Jianping Wu, Huixian Li

PMC · DOI: 10.1038/s41598-026-35949-w · 2026-01-19

## TL;DR

This study explores how quality factors affect college students' ongoing use of mobile learning, using the expectation confirmation model.

## Contribution

The study integrates quality factors with the expectation confirmation model to explain mobile learning continuance intention.

## Key findings

- Quality factors significantly influence continuance intention toward mobile learning.
- No gender differences were found in correlations between perceived usefulness and continuance intention.
- System, information, and service quality had mixed relationships with perceived usefulness and confirmation.

## 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.

The online version contains supplementary material available at 10.1038/s41598-026-35949-w.

## Full-text entities

- **Genes:** SAT1 (spermidine/spermine N1-acetyltransferase 1) [NCBI Gene 6303] {aka DC21, KFSD, KFSDX, SAT, SSAT, SSAT-1}, MMRN1 (multimerin 1) [NCBI Gene 22915] {aka ECM, EMILIN4, GPIa*, MMRN}, H1-1 (H1.1 linker histone, cluster member) [NCBI Gene 3024] {aka H1.1, H1A, H1F1, HIST1, HIST1H1A}
- **Diseases:** COVID-19 (MESH:D000086382), CI (MESH:D014202), ISSM (MESH:D020721), PU (MESH:D019966), MICOM (MESH:D058617), CMV (MESH:D020326)
- **Chemicals:** INQ (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** H4 — Macaca fascicularis (Crab-eating macaque), Induced pluripotent stem cell (CVCL_JF98), H9 — Homo sapiens (Human), Sezary syndrome, Cancer cell line (CVCL_1240)

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12891481/full.md

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Source: https://tomesphere.com/paper/PMC12891481