Evidence map›Paper›PMID 42620200›Full record

ArticleFrontiers in psychology2026

Linking digital teaching management platform quality to perceived net benefits: a hybrid SEM-LPA study in university sports club-based teaching.

Juntong Liu, Zhihui Zhang

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
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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

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.

Juntong LiuDepartment of Physical Education, Chengdu University of Information Technology, Chengdu, China.
Zhihui ZhangDepartment of Physical Education, Chengdu University of Information Technology, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Digital teaching management platforms in university sports club-based teaching coordinate course selection, club allocation, venue use, attendance, assessment, and administrative communication. This study integrated the information systems success model and the technology acceptance model to examine system quality (SQ), perceived ease of use (PEOU), perceived usefulness (PU), user satisfaction (SAT), and perceived teaching management net benefits (NB). Methods: Data from 1,887 adult platform users were collected in a cross-sectional survey. Structural equation modeling (SEM) estimated sample-wide associations, and latent profile analysis (LPA) identified SQ-PEOU experience configurations. BCH procedures compared PU, SAT, and NB across the profiles. Results: SEM showed that SQ was positively associated with NB and that PEOU, PU, and SAT formed a significant sequential indirect association. LPA identified six configurations: low-SQ/low-PEOU, moderate-SQ/high-PEOU, low-SQ/high-PEOU, moderate-SQ/low-PEOU, high-SQ/low-PEOU, and high-SQ/high-PEOU. BCH comparisons showed significant differences in PU, SAT, and NB, with the high-SQ/high-PEOU configuration reporting the most favorable evaluations. Profile membership was not significantly associated with role in platform use, years of platform use, frequency of platform use, or main platform function used. Discussion: Average statistical associations coexisted with heterogeneous SQ-PEOU experience configurations. Because the data were cross-sectional and self-reported, the findings should be interpreted as associations rather than causal processes.

Indexed as

digital teaching management platforminformation systems successlatent profile analysisperceived net benefitssports club-based teachingtechnology acceptance modeluniversity physical education

Identifiers

PMID42620200
PMCPMC13485549

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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.