ChatGPT prompts for generating multiple-choice questions in medical education and evidence on their validity: a literature review

Postgraduate Medical Journal, Год журнала: 2024, Номер unknown

Опубликована: Май 16, 2024

Abstract ChatGPT’s role in creating multiple-choice questions (MCQs) is growing but the validity of these artificial-intelligence-generated unclear. This literature review was conducted to address urgent need for understanding application ChatGPT generating MCQs medical education. Following database search and screening 1920 studies, we found 23 relevant studies. We extracted prompts MCQ generation assessed evidence MCQs. The findings showed that varied, including referencing specific exam styles adopting personas, which align with recommended prompt engineering tactics. covered various domains, showing mixed accuracy rates, some studies indicating comparable quality human-written questions, others highlighting differences difficulty discrimination levels, alongside a significant reduction question creation time. Despite its efficiency, highlight necessity careful suggest further research optimize use generation. Main messages Ensure high-quality outputs by utilizing well-designed prompts; educators should prioritize detailed, clear when Avoid using ChatGPT-generated directly examinations without thorough prevent inaccuracies ensure relevance. Leverage potential streamline test development process, enhancing efficiency compromising quality.

Язык: Английский

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Exploring the Usage of ChatGPT Among Medical Students in the United States

Journal of Medical Education and Curricular Development, Год журнала: 2024, Номер 11

Опубликована: Янв. 1, 2024

Chat Generative Pretrained Transformer (ChatGPT) is a large language model developed by OpenAI that has gained widespread interest. It been cited for its potential impact on health care and beneficial role in medical education. However, there limited investigation into use among students. In this study, we evaluated the frequency of ChatGPT use, motivations preference over existing resources students United States.

Язык: Английский

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Ethical Concerns About ChatGPT in Healthcare: A Useful Tool or the Tombstone of Original and Reflective Thinking?

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Фев. 23, 2024

Artificial intelligence (AI), the uprising technology of computer science aiming to create digital systems with human behavior and intelligence, seems have invaded almost every field modern life. Launched in November 2022, ChatGPT (Chat Generative Pre-trained Transformer) is a textual AI application capable creating human-like responses characterized by original language high coherence. Although AI-based models demonstrated impressive capabilities healthcare, has received controversial annotations from scientific academic communities. This chatbot already appears massive impact as an educational tool for healthcare professionals transformative potential clinical practice could lead dramatic changes research. Nevertheless, rational concerns were raised regarding whether pre-trained, AI-generated text would be menace not only thinking new ideas but also research integrity, it gets more difficult distinguish its origin due coherence fluency produced text. short review aims summarize applications consequential implications three critical pillars medicine: education, research, practice. In addition, this paper discusses current use compliance ethical principles safe determined World Health Organization. Finally, highlights need updated framework increased vigilance stakeholders harvest benefits limit imminent dangers innovative technology.

Язык: Английский

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Nurses' Perspectives on Privacy and Ethical Concerns Regarding Artificial Intelligence Adoption in Healthcare

Heliyon, Год журнала: 2024, Номер 10(17), С. e36702 - e36702

Опубликована: Авг. 23, 2024

With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline professionals, are pivotal in-patient care offer valuable insights implications AI adoption.

Язык: Английский

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Widespread use of ChatGPT and other Artificial Intelligence tools among medical students in Uganda: A cross-sectional study

PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0313776 - e0313776

Опубликована: Янв. 9, 2025

Background Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that uses deep learning algorithms trained on vast amounts of data to generate human-like texts such as essays. Consequently, it has introduced new challenges and threats medical education. We assessed the use ChatGPT other AI tools among students in Uganda. Methods conducted descriptive cross-sectional study at four public universities Uganda from 1 st November 2023 20 th December 2023. Participants were recruited by stratified random sampling. used semi-structured questionnaire collect participants’ socio-demographics ChatGPT. Our outcome variable was tools. Data analyzed descriptively Stata version 17.0. modified Poisson regression explore association between various exposures. Results A total 564 participated. Almost all (93%) had heard about more than two-thirds (75.7%) ever Regarding used, majority (72.2%) ChatGPT, followed SnapChat (14.9%), Bing (11.5%), Bard (6.9%). Most complete assignments (55.5%), preparing for tutorials (39.9%), exams (34.8%) research writing (24.8%). Students also reported nonacademic purposes including emotional support, recreation, spiritual growth. Older 31% less likely compared younger ones (Adjusted Prevalence Ratio (aPR):0.69; 95% CI: [0.62, 0.76]). Makerere University 66% Gulu (aPR:1.66; CI:[1.64, 1.69]). Conclusion The widespread both academic non-academic purposes. Younger older students. There need promote literacy institutions empower with essential skills digital age. Further, educators should assume are using adjust their way teaching setting suit this reality. adds further evidence existing voices calling regulatory frameworks

Язык: Английский

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ChatGPT Usage and Attitudes are Driven by Perceptions of Usefulness, Ease of Use, Risks, and Psycho-Social Impact: A Study among University Students in the UAE

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Фев. 1, 2024

Abstract Background The use of ChatGPT among university students has gained popularity. current study aimed to assess the factors driving attitude and usage as an example generative artificial intelligence in United Arab Emirates (UAE). Methods This cross-sectional was based on a previously validated technology acceptance model (TAM)-based survey instrument termed TAME-ChatGPT. self-administered e-survey distributed by emails for enrolled UAE universities during September–December 2023 using convenience-based approach. Assessment demographic, academic, TAME-ChatGPT constructs role conducted univariate followed multivariate analyses. Results final sample comprised 608 participants, 91.0% which heard while 85.4% used before study. Univariate analysis indicated that positive associated with three namely lower perceived risks, anxiety, higher scores technology/social influence. For usage, being male, nationality, point grade average well four usefulness, risks use, behavior/cognitive construct ease construct. In analysis, only explained variance towards (80.8%) its (76.9%). Conclusions findings is commonplace UAE. determinants included cognitive behavioral factors, determined These should be considered understanding motivators successful adoption AI including education.

Язык: Английский

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Perspectives of University Educators Regarding ChatGPT: A Validation Study Based on the Technology Acceptance Model

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Фев. 6, 2024

Background ChatGPT is a generative artificial intelligence (AI) model that has promising potential in higher education. Nevertheless, the integration of into education requires assessment university educators’ perspectives regarding this novel technology. This study aimed to develop and validate survey instrument specifically tailored assess usability acceptability among educators. Methods Development items was based on Technology Acceptance Model (TAM) followed by expert content validity pilot testing improve phrasing items. The involved demographic variables addition total 40 TAM-based distributed educators Jordan two phases: February 2023–April 2023 October 2023. self-administered via convenience approach contacts authors. Assessment construct done through exploratory factor analysis (EFA) principal component (PCA), while internal consistency inferred constructs checked using Cronbach’s α. Results final sample comprised 236 educators, with 72% who heard before (n = 169), whom 76 have already used (45%). EFA showed significant Bartlett’s test sphericity (P < .001) adequate Kaiser-Meyer-Olkin measure (KMO .698). six explained cumulative 64% variance attitude ChatGPT. These 31 classified into: (1) “Effectiveness” (α .845), (2) “Anxiety” .862), (3) “Technology readiness .885), (4) Perceived usefulness .848), (5) Social influence .803), (6) risk .796). Conclusions identified key could be exploited for comprehensive understanding educators' toward herein termed “Ed-TAME-ChatGPT” positive influencing factors such as perceived effectiveness, technology, social negative including anxiety risk. developed can provide robust framework further investigation given nearly inevitable AI

Язык: Английский

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Familiarity, Usage Patterns, and Attitudes of Alfaisal University Medical Students towards ChatGPT and other Chat-based Artificial Intelligence Applications in Medical Education (Preprint)

JMIR Medical Education, Год журнала: 2025, Номер 11, С. e63065 - e63065

Опубликована: Янв. 3, 2025

There has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps medical education. Despite data being available from parts world, there is significant lack information on this topic education research, particularly Saudi Arabia. The primary objective study was to examine familiarity, usage patterns, attitudes Alfaisal University students toward AI This cross-sectional conducted October 8, 2023, through November 22, 2023. A questionnaire distributed social media channels at who were 18 years or older. Current 1 6, both genders, exclusively targeted by questionnaire. approved Institutional Review Board. χ2 test assess relationships between gender, year study, reasons for usage. total 293 responses received, which 95 (32.4%) men 198 (67.6%) women. 236 (80.5%) preclinical 57 (19.5%) clinical students, respectively. Overall, males (n=93, 97.9%) showed more familiarity with compared females (n=180, 90.09%; P=.03). Additionally, also used Google Bard Microsoft Bing than (P<.001). Clinical-year significantly general writing purposes (P=.005). 136 (46.4%) believed that using coursework ethical, 86 (29.4%) neutral, 71 (24.2%) considered it unethical (all Ps>.05). Familiarity common among University. patterns these differ clinical-year students.

Язык: Английский

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Artificial intelligence for diagnosis and predictive biomarkers in Non-Small cell lung cancer Patients: New promises but also new hurdles for the pathologist

Lung Cancer, Год журнала: 2025, Номер 200, С. 108110 - 108110

Опубликована: Янв. 27, 2025

Язык: Английский

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ChatGPT usage and attitudes are driven by perceptions of usefulness, ease of use, risks, and psycho-social impact: a study among university students in the UAE

Frontiers in Education, Год журнала: 2024, Номер 9

Опубликована: Авг. 7, 2024

Background The use of ChatGPT among university students has gained a recent popularity. current study aimed to assess the factors driving attitude and usage as an example generative artificial intelligence (genAI) in United Arab Emirates (UAE). Methods This cross-sectional was based on previously validated Technology Acceptance Model (TAM)-based survey instrument termed TAME-ChatGPT. self-administered e-survey distributed by emails for enrolled UAE universities during September–December 2023 using convenience-based approach. Assessment demographic academic variables, TAME-ChatGPT constructs’ roles conducted univariate followed multivariate analyses. Results final sample comprised 608 participants, 91.0% whom heard while 85.4% used before study. Univariate analysis indicated that positive associated with three constructs namely, lower perceived risks, anxiety, higher scores technology/social influence. For usage, being male, nationality, point grade average (GPA) well four usefulness, risks use, behavior/cognitive construct ease-of-use construct. In analysis, only explained variance towards (80.8%) its (76.9%). Conclusion findings is commonplace UAE. determinants included cognitive behavioral factors, ease determined These should be considered understanding motivators successful adoption genAI including education.

Язык: Английский

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