Evidence map›Paper›PMID 41602686›Full record

ArticleFrontiers in psychology2025

Augmented reality and embodied learning: effects of embodiment degrees on students' learning achievement, cognitive load, and technology acceptance.

Xiaochen Suo, Baoyuan Yin, Xiaoyan Feng

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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Xiaochen SuoSchool of Educational Science, Harbin Normal University, Harbin, China.
Baoyuan YinSchool of Educational Science, Harbin Normal University, Harbin, China.
Xiaoyan FengSchool of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Embodiment in augmented reality has attracted increasing attention in educational research. This study investigated how the degree of embodied experience in augmented reality affects high school students' learning achievement, cognitive load, and technology acceptance. Methods: Drawing on embodied cognition and the Cone of Experience, augmented reality learning tasks were designed with different degrees of embodied experience and implemented in biology instruction on cell structure. A total of 122 Chinese high school students participated and were assigned to either low- or high-embodiment augmented reality experiences. Data were analyzed using analyses of covariance, with learners' prior knowledge scores entered as a covariate to control for pre-existing differences in knowledge level. Results: Students who engaged in high-embodiment augmented reality achieved better learning performance in both knowledge retention and transfer, and they also reported significantly lower cognitive load. In terms of technology acceptance, high-embodiment augmented reality enhanced perceived usefulness, while low-embodiment augmented reality was associated with higher perceived ease of use. Discussion: These findings demonstrate that the degree of embodiment in augmented reality experiences differentially influences learning achievement, cognitive load, and technology acceptance, offering empirical evidence and practical guidance for optimizing embodied augmented reality design in education.

Indexed as

augmented realitycognitive loadcone of experienceembodied cognitiontechnology acceptance

Identifiers

PMID41602686
PMCPMC12832985

What OpenQuestion holds

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LicenceCC BY
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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.