Evidence map›Paper›PMID 41472885›Full record

ArticleJournal of medical education and curricular development

Exploring Medical Students' Perceptions Regarding ChatGPT and AI Studying at the University of Niš: A Study on Usage, Attitudes, and Linguistic Influence-Single-Centered Study in Serbia-A Paradoxical Ally?

Aleksandra Ignjatović, Marija Anđelković Apostolović, Lazar Stevanović, Pavle Radovanović, Sidharth, Marija Topalović, Tamara Filipović

Abstract read
In one paragraph

Article in Journal of medical education and curricular development. 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

7 authors.

Aleksandra IgnjatovićFaculty of Medicine, Department of Medical Statistics and Informatics, University of Niš, Niš, Serbia.ORCID https://orcid.org/0000-0002-2689-8088
Marija Anđelković ApostolovićFaculty of Medicine, Department of Medical Statistics and Informatics, University of Niš, Niš, Serbia.ORCID https://orcid.org/0000-0002-7595-3450
Lazar StevanovićClinic of Neurology, University Clinical Center Niš, Niš, Serbia.ORCID https://orcid.org/0009-0006-8704-0567
Pavle RadovanovićFaculty of Medicine, University of Niš, Niš, Serbia.ORCID https://orcid.org/0009-0000-3704-1883
SidharthFaculty of Medicine, University of Niš, Niš, Serbia.
Marija TopalovićCopenhagen Academy for Medical Education and Simulation (CAMES), Center for Human Resources and Education, Capital Region of Denmark, Herlev Hospital, Herlev, Denmark.ORCID https://orcid.org/0000-0001-8373-5667
Tamara FilipovićFaculty of Medicine, University of Belgrade, Belgrade, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The primary objective of the study was to analyze the extent of ChatGPT usage and students' attitudes about ChatGPT. The secondary objective is to examine the potential underlying structure of students' perceptions about this AI tool in academic settings. Additionally, the focus on students studying in Serbian and English may shed light on the cultural and linguistic influence of technology implementation in educational settings. Methods: This descriptive study investigated how medical students perceive the application of ChatGPT in educational settings using a 3-part questionnaire: a demographic section collecting participants' overall experience and perceptions of ChatGPT, and a section collecting students' attitudes toward artificial intelligence who did not use ChatGPT. Results: In the survey, there were 1212 students (1037 students in the Serbian and 175 students in the English language). Almost four-fifths of students have heard of ChatGPT (79.4%), but less than half of students have used ChatGPT (42.2%). Principal component analysis revealed 4 components: Positive Perception and Usefulness, Negative Impacts and Risks, ChatGPT Usability and Improvement, and Interaction and Communication Challenges items. Discussion: A positive attitude was prevalent in our population; however, students were also aware of the limitations of ChatGPT, which were recognized as potential academic dishonesty and a risk of job loss. There were significant differences in students' agreement with various statements across 3 components among students studying Serbian and English, implying a possible role of linguistic barriers in AI responses. Therefore, using ChatGPT to promote education and healthcare should be done ethically and responsibly, considering the possible improvements in AI tools and the risks and issues they raise.

Indexed as

artificial intelligenceChatGPThealth educationmedical students’ educationstudents’ perceptions

Identifiers

PMID41472885
PMCPMC12745544

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.