Evidence map›Paper›PMID 41632751›Full record

ArticlePloS one2026

Augmented reality in engineering education: Strategic design and evidence-based results.

Sebastián Donaire, Rodrigo Barraza, Pedro Martínez-Pagán, Marcos A Martínez-Segura, Luis Álvarez, Lorena Yepes-Bellver, Víctor Yepes

Abstract read
In one paragraph

Article in PloS one, 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
–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

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

7 authors.

Sebastián DonaireFacultad de Ingeniería, Universidad Santo Tomás, Santiago, Chile.ORCID https://orcid.org/0000-0002-0648-8444
Rodrigo BarrazaFacultad de Ingeniería, Universidad Santo Tomás, Santiago, Chile.
Pedro Martínez-PagánApplied Near-Surface Geophysics Research Group, Departamento de Ingeniería Minera y Civil, Universidad Politécnica de Cartagena, Cartagena, Spain.ORCID https://orcid.org/0000-0002-3308-3768
Marcos A Martínez-SeguraApplied Near-Surface Geophysics Research Group, Departamento de Ingeniería Minera y Civil, Universidad Politécnica de Cartagena, Cartagena, Spain.ORCID https://orcid.org/0000-0002-1163-8427
Luis ÁlvarezFacultad de Ingeniería, Universidad Santo Tomás, Santiago, Chile.
Lorena Yepes-BellverMechanics of Continuous Media and Theory of Structures Department, Universitat Politècnica de València, València, Spain.
Víctor YepesInstitute of Concrete Science and Technology (ICITECH), Universitat Politècnica de València, València, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary objective of this study is to define and empirically validate a novel procedural methodological framework, named SEBAS (Selection, Establishment, Blueprint, Application, Synthesis), for the strategic integration of Augmented Reality (AR) learning activities in higher engineering education. The research addresses the lack of specialized methodologies for using AR in the complex and technical discipline of mining engineering and evaluates the impact of the implementation on student educational outcomes. A mixed-method quasi-experimental design was employed, involving 136 undergraduate students enrolled in mining-related programs. A specific group of these students participated in augmented reality (AR) workshops developed using the SEBAS framework. Quantitative data on academic performance history were collected, along with qualitative data from pre- and post-intervention surveys to assess students' perceptions and motivation. The results demonstrated a substantial positive impact on academic performance. Participating students achieved a higher average final grade (4.70, SD = 1.75) compared to the overall group (4.30, SD = 1.98). Welch's t-tests confirmed statistically significant differences in the courses with higher AR integration (Course 1, t(36)=3.30, p = 0.002; Course 2, t(38)=10.03, p < 0.001). A thorough qualitative analysis was conducted, which yielded substantial evidence of a considerable positive shift in student perceptions, levels of interest, and practical applicability. The primary contribution of this research is the SEBAS framework, which offers a structured, pedagogically sound, and replicable model for incorporating immersive technologies. This framework facilitates the development of strategically designed AR activities that enhance academic performance, promote cognitive engagement, and prepare students for the challenges of the industry.

Indexed as

Augmented RealityEngineeringCurriculumEducational MeasurementFemaleHumansLearningMaleStudents

Identifiers

PMID41632751
PMCPMC12867236

What OpenQuestion holds

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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.