Evidence map›Paper›PMID 42621191›Full record

ArticleJournal of medical education and curricular development

Prevalence and Factors Influencing ChatGPT Use During the Research Process Among Undergraduate Health Students in Tanzania: A Cross-Sectional Study.

Ipyana Mbaga Kajembula, Kornel Izidory Matheo, Peter Damian Simchimba, Diana Damasi Massawe, Aminieli Itaeli Usiri, Joel Seme Ambikile

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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. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ipyana Mbaga KajembulaDepartment of Nursing Education and Management, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.ORCID https://orcid.org/0000-0002-1396-3530
Kornel Izidory MatheoSchool of Nursing, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Peter Damian SimchimbaSchool of Nursing, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Diana Damasi MassawePediatric Hematolooncology Department, Bugando Medical Centre, Mwanza, United Republic of Tanzania.
Aminieli Itaeli UsiriQuality Improvement and Patient safety Department, Aga Khan Hospital Dar es Salaam, Dar es Salaam, United Republic of Tanzania.
Joel Seme AmbikileDepartment of Clinical Nursing, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.ORCID https://orcid.org/0000-0003-2618-4410

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: ChatGPT is a large language model developed by OpenAI and launched November 30, 2022, with potential to transform healthcare education and research. However, integration into academic settings raises concerns about integrity and ethics. This study assessed prevalence and factors influencing ChatGPT use during the research process among undergraduate health students in Tanzania. Methodology: A cross-sectional study was conducted among undergraduate health students in Tanzania mainland universities. Multi-stage sampling recruited participants who completed an online structured questionnaire. Data were collected using the validated Technology Acceptance Model Edited to assess ChatGPT Adoption (TAME-ChatGPT). Descriptive statistics summarized characteristics, while Independent sample t-tests and one-way ANOVA compared mean attitude scores. Poisson regression with robust standard errors assessed factors associated with ChatGPT use, with significance at p < 0.05. Results: Of the 422 students invited, 400 (95%) responded; 247 (61.8%) were male, with a mean age of 24.82 ± 2.13 years. The prevalence of ChatGPT use during the research process was 63.0%, with students primarily using it for idea generation (57.1%), information summarization (52.8%), and writing assistance (29.4%). Among users, perceived ease of use (4.01 ± 0.79) and perceived usefulness (3.56 ± 0.71) recorded the highest TAME-ChatGPT construct scores. In multivariable Poisson regression, ChatGPT use was significantly more likely among students from private universities (aRR = 1.23, 95% CI: 1.057-1.433, p = 0.008), those at institutions acknowledging ChatGPT use (aRR = 1.34, 95% CI: 1.094-1.646, p = 0.005), and those unsure of their institution's stance (aRR = 1.34, 95% CI: 1.051-1.709, p = 0.018), compared to students at non-acknowledging institutions. Students with more than five peers per supervisor were also more likely to use ChatGPT (aRR = 1.20, 95% CI: 1.029-1.404, p = 0.020). Conclusion: ChatGPT use is prevalent among Tanzanian undergraduate health students during the research process, driven primarily by institutional context and supervisory dynamics. Institutions and national education authorities should establish clear, evidence-based guidelines to ensure the ethical and effective integration of AI tools in academic research.

Indexed as

artificial intelligencechatGPTeducationprevalenceresearch processundergraduate health students

Identifiers

PMID42621191
PMCPMC13487073

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