Experiences of nursing and medical students with the use of Artificial Intelligence tools such as ChatGPT in Uganda

Medical and nursing students widely use ChatGPT and other artificial intelligence (AI) for their educational and learning needs. However, there are concerns of misuse and abuse of AI tools in medical education. We explored the experiences of medical students with the use of ChatGPT and other AI tools in education. This was a qualitative descriptive study to explore experiences of medical students, including students of Bachelor of Medicine and Surgery, Bachelor of Science in Nursing, and Bachelor of Science in Anaethesia at Busitema University in Uganda. We conducted five focus group discussions comprising 8-10 participants and 7 in-depth interviews. Participants were purposively selected across the three programs and were spread across the different years of study. Data were analyzed using thematic analysis with the aid of Atlas ti.9 software. Four themes were identified: 1) experiences of students with the use of AI; 2) perceived benefits of AI tools; 3) concerns regarding AI use; and 4) recommendations for responsible AI use. Students noted experiences with using AI as an initial source of information, while some used it as a last resort or concurrently with other traditional sources of information. AI was used for various learning needs, including preparing for tutorials and examinations, writing research proposals, and answering examination questions. Perceived benefits included enhanced learning, readily access to accurate and simplified information, saves time, provides immediate feedback, and improving scholarly writing and preparation for examinations. Students' concerns with AI use included questionable accuracy, credibility, unreliability, inherent AI limitations, and problems arising from over-reliance on AI. Modifying examinations and assessments, changing attitude towards AI use, and using other resources alongside AI were recommended to result in responsible AI use. Participants had positive perceptions about the use of AI but also expressed fears regarding its use in medical education. Structured curricula, formal policies, and guidelines are needed to adequately prepare medical students for the integration of AI in medical education.

Authors

Institutions

Publication Details

Journal
PLOS Global Public Health
Published
2025-12-30
DOI
https://doi.org/10.1371/journal.pgph.0005715
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experiences of nursing and medical students with the use of Artificial Intelligence tools such as ChatGPT in Uganda

Ritah Nantale, Joshua Epuitai, Ian Guyton Munabi, Milton Wamboko Musaba et al.
PLOS Global Public Health
Artificial Intelligence in Healthcare and Education
article

Experiences of nursing and medical students with the use of Artificial Intelligence tools such as ChatGPT in Uganda

Ritah Nantale, Joshua Epuitai, Ian Guyton Munabi, Milton Wamboko Musaba, David Mukunya, Afodun Adam, Aloysius Gonzaga Mubuuke, Elizabeth Ajalo, Frank Kayemba, Kennedy Paungholi, Brian Jemba, Sarah Kiguli
article en

Abstract

Medical and nursing students widely use ChatGPT and other artificial intelligence (AI) for their educational and learning needs. However, there are concerns of misuse and abuse of AI tools in medical education. We explored the experiences of medical students with the use of ChatGPT and other AI tools in education. This was a qualitative descriptive study to explore experiences of medical students, including students of Bachelor of Medicine and Surgery, Bachelor of Science in Nursing, and Bachelor of Science in Anaethesia at Busitema University in Uganda. We conducted five focus group discussions comprising 8-10 participants and 7 in-depth interviews. Participants were purposively selected across the three programs and were spread across the different years of study. Data were analyzed using thematic analysis with the aid of Atlas ti.9 software. Four themes were identified: 1) experiences of students with the use of AI; 2) perceived benefits of AI tools; 3) concerns regarding AI use; and 4) recommendations for responsible AI use. Students noted experiences with using AI as an initial source of information, while some used it as a last resort or concurrently with other traditional sources of information. AI was used for various learning needs, including preparing for tutorials and examinations, writing research proposals, and answering examination questions. Perceived benefits included enhanced learning, readily access to accurate and simplified information, saves time, provides immediate feedback, and improving scholarly writing and preparation for examinations. Students' concerns with AI use included questionable accuracy, credibility, unreliability, inherent AI limitations, and problems arising from over-reliance on AI. Modifying examinations and assessments, changing attitude towards AI use, and using other resources alongside AI were recommended to result in responsible AI use. Participants had positive perceptions about the use of AI but also expressed fears regarding its use in medical education. Structured curricula, formal policies, and guidelines are needed to adequately prepare medical students for the integration of AI in medical education.

PLOS Global Public HealthVol. 5(12)
Busitema University (UG), Makerere University (UG)
U.S. Department of State, National Institutes of Health, Fogarty International Center
Quality Education
Openalex Percentile: Top 38%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.