Evidence map›Paper›PMID 42775146›Full record

ArticleFrontiers in physiology2026

AI-assisted learning in exercise physiology: a quasi-experimental study using PhysioExercise GPT.

Roque Ribeiro Da Silva Junior, Larissa Nayara de Souza, Gilson Aquino Cavalcante, Fernando Libralino Fernandes, José Antônio da Silva Júnior, Rackel Gurgel Hipólito, Fausto Guzen, Edson Fonseca Pinto, Maria Irany Knackfuss, Thales Allyrio Araújo De Medeiros Fernandes

Abstract read
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In one paragraph

Article in Frontiers in physiology, 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

10 authors.

Roque Ribeiro Da Silva JuniorUniversity of the State of Rio Grande do Norte, Mossoro, Brazil.
Larissa Nayara de SouzaUniversity of the State of Rio Grande do Norte, Mossoro, Brazil.
Gilson Aquino CavalcanteUniversity of the State of Rio Grande do Norte, Mossoro, Brazil.
Fernando Libralino FernandesUniversity of the State of Rio Grande do Norte, Mossoro, Brazil.
José Antônio da Silva JúniorUniversity of the State of Rio Grande do Norte, Mossoro, Brazil.
Rackel Gurgel HipólitoUniversity of the State of Rio Grande do Norte, Mossoro, Brazil.
Fausto GuzenUniversity of the State of Rio Grande do Norte, Mossoro, Brazil.
Edson Fonseca PintoUniversity of the State of Rio Grande do Norte, Mossoro, Brazil.
Maria Irany KnackfussUniversity of the State of Rio Grande do Norte, Mossoro, Brazil.
Thales Allyrio Araújo De Medeiros FernandesUniversity of the State of Rio Grande do Norte, Mossoro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated the applicability and effectiveness of PhysioExercise GPT, an artificial intelligence tool based on the ChatGPT architecture, developed to support the teaching of exercise physiology to undergraduate physical education students. A longitudinal quasi-experimental study was conducted involving a total of 64 students. Thirty-two students used the AI tool through a structured educational approach that incorporated personalized support, immediate feedback, and learning activities based on Bloom's Taxonomy, while a control group of 32 students received traditional instruction. The results showed that both groups improved over time; however, the AI-assisted group achieved significantly greater learning gains (

Indexed as

artificial intelligenceeducational technologyexercise physiologyhealth education and awarenessteaching

Identifiers

PMID42775146
PMCPMC13595339

What OpenQuestion holds

Textmetadata
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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.