Evidence map›Paper›PMID 42381734›Full record

ArticleFrontiers in research metrics and analytics2026

ChatGPT and higher education in Latin America: measuring perceived academic skills.

Carlos Enrique George-Reyes, Christian A Romero, Ennio Jesús Merida-Cordova, Enrique Yeguas-Bolivar

Abstract read
In one paragraph

Article in Frontiers in research metrics and analytics, 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

4 authors.

Carlos Enrique George-ReyesUniversidad Bolivariana del Ecuador, Durán, Ecuador.
Christian A RomeroUniversidad Bolivariana del Ecuador, Durán, Ecuador.
Ennio Jesús Merida-CordovaUniversidad Bolivariana del Ecuador, Durán, Ecuador.
Enrique Yeguas-BolivarUniversidad de Cordoba, Córdoba, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of generative artificial intelligence tools such as ChatGPT has transformed various academic practices in higher education, generating interest in understanding its perceived impact on the development of students' communicative and analytical skills. This study aimed to validate the Student Perception of ChatGPT instrument. A non-experimental quantitative design with an instrumental and comparative approach was applied to a sample of 2,579 students with prior experience using ChatGPT, from Ecuador, Mexico, Chile, Brazil, Colombia, and Guatemala. The questionnaire included 18 items organized into two key dimensions, communicative skills and analytical skills, measured on a five-point Likert scale. Internal consistency analyses (α = 0.943; ω = 0.944), as well as exploratory and confirmatory factor analyses, were conducted. The results confirmed high reliability and a coherent two-factor structure, with consistent groupings among items related to academic writing, digital communication, critical thinking, and problem-solving. These findings provide empirical evidence of the instrument's validity to measure students' perceptions of ChatGPT's contribution to the development of such skills. It is recommended to conduct longitudinal, mixed-method, and performance-based studies to more precisely examine its actual effect on university learning.

Indexed as

academic skillsChatGPTgenerative artificial intelligencehigher educationreliability analysis

Identifiers

PMID42381734
PMCPMC13314867

What OpenQuestion holds

Textmetadata
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.