Evidence map›Paper›PMID 41646904›Full record

ArticleFrontiers in psychology2025

The impact of system interaction quality on learning outcomes in online virtual experiment teaching: the mediating role of extraneous cognitive load.

Peng Yin, TingYu Sun

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. 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

2 authors.

Peng YinOffice of the President, Shandong Management University, Shandong, China.
TingYu SunDepartment of Labor Relations, Shandong Management University, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the effect of system interaction quality on learning outcomes in online virtual experiment teaching, with extraneous cognitive load serving as a mediating variable. Based on Cognitive Load Theory, a structural equation model was constructed to examine the relationships among user interface quality, communication quality, extraneous cognitive load, and learning outcomes. Using a cross-sectional questionnaire study, data collected from 610 valid samples were analyzed using SPSS 27.0 and AMOS 29.0. The results revealed that both user interface quality and communication quality significantly and positively predicted learning outcomes. Moreover, extraneous cognitive load partially mediated these relationships, indicating that high system interaction quality enhances learning outcomes not only directly but also indirectly by reducing unnecessary cognitive burdens. These findings extend the application of Cognitive Load Theory to virtual teaching contexts and provide empirical evidence for the "technology-cognition-learning" mechanism. Practically, the study offers actionable guidance for optimizing user interface design, improving communication performance, and enhancing instructional strategies to promote effective learning in online virtual experiment environments.

Indexed as

communication qualityextraneous cognitive loadlearning outcomesonline virtual experiment teachingsystem interaction qualityuser interface quality

Identifiers

PMID41646904
PMCPMC12868159

What OpenQuestion holds

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LicenceCC BY
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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.