Evidence map›Paper›PMID 42505174›Full record

ArticleEuropean journal of investigation in health, psychology and education2026

Artificial Intelligence Self-Efficacy, Technostress, and Critical Thinking: Evidence from Peruvian University Students.

Heyner Yuliano Marquez-Yauri, Sandra Lizzette León Luyo, Moises David Reyes-Perez, César Pol Arévalo-Aranda, Luisa Angélica Orejuela Guerrero, Carlos José Sandoval Reyes, Angelica María Minchola Vásquez, Marco Agustín Arbulú Ballesteros, Roger Ernesto Alarcón García

Abstract read
In one paragraph

Article in European journal of investigation in health, psychology and education, 2026. 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

9 authors.

Heyner Yuliano Marquez-YauriFacultad de Ciencias Económicas, Escuela de Administración, Universidad Nacional de Trujillo, Trujillo 13011, Peru.ORCID 0000-0002-1825-9542
Sandra Lizzette León LuyoFacultad de Ciencias Económicas, Escuela de Administración, Universidad Nacional de Trujillo, Trujillo 13011, Peru.ORCID 0000-0001-5683-3392
Moises David Reyes-PerezFacultad de Psicología, Escuela de Psicología, Universidad Nacional Mayor de San Marcos, Lima 15081, Peru.ORCID 0000-0002-9429-8965
César Pol Arévalo-ArandaDepartamento Académico de Ingeniería Metalúrgica, Escuela Profesional de Ingeniería Metalúrgica, Universidad Nacional de Trujillo, Trujillo 13011, Peru.
Luisa Angélica Orejuela GuerreroFacultad de Ingeniería, Escuela Profesional de Ingeniería Industrial, Universidad Nacional de Trujillo, Trujillo 13011, Peru.
Carlos José Sandoval ReyesInstitute for Research in Science and Technology, César Vallejo University, Campus Chepén, Trujillo 13001, Peru.
Angelica María Minchola VásquezEscuela de Administración en Turismo y Hotelería, Facultad de Ciencias Empresariales, Universidad César Vallejo, Piura 20001, Peru.ORCID 0000-0001-8247-3650
Marco Agustín Arbulú BallesterosInstitute for Research in Science and Technology, César Vallejo University, Campus Chepén, Trujillo 13001, Peru.ORCID 0000-0001-7940-7580
Roger Ernesto Alarcón GarcíaGrupo de Investigación en Transformación Digital, Universidad Nacional Pedro Ruíz Gallo, Lambayeque 14013, Peru.ORCID 0000-0003-1178-0519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid integration of artificial intelligence (AI) into higher education has renewed concern that technology-related strain may erode students' higher-order thinking. Drawing on a social-cognitive framework, this study tested whether AI self-efficacy and technostress predict critical thinking in 340 Peruvian undergraduates, who completed three validated scales (Yoon's Critical Thinking Disposition Inventory; the brief General Self-Efficacy Scale for AI, GSE-6AI; and the RED-Technostress scale). Data were modeled with PLS-SEM, with significance from 5000 bootstrap resamples and an out-of-sample predictive assessment (PLSpredict, CVPAT). AI self-efficacy was a robust positive predictor of critical thinking (β = 0.42,

Indexed as

artificial intelligence self-efficacycritical thinkinghigher educationPLS-SEMtechnostressuniversity students

Identifiers

PMID42505174
PMCPMC13409663

What OpenQuestion holds

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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.