GPTEACHER: EXAMINING THE EFFICACY OF CHATGPT AS A TOOL FOR PUBLIC HEALTH EDUCATION
DOI:
https://doi.org/10.46827/ejes.v10i8.4926Keywords:
artificial intelligence, ChatGPT, medical terminology, public health educationAbstract
The language used in healthcare to describe diseases, medical procedures, and treatments is identified as medical terminology. Learning medical terminology can be problematic owing to its complexity and volume. Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence (AI) language model that can simulate human conversations while providing individualized feedback, making it potentially a viable tool for learning medical terminology. The purpose of this study is to look at the benefits of using ChatGPT to learn medical terminology. A ChatGPT-based group studied medical terminology using the ChatGPT platform, while a traditional study group heard lectures and read textbooks. Following the study sessions, both groups carried out a test to evaluate their understanding and comprehension of medical terms. The study showed that the ChatGPT-based platform was more effective than traditional teaching techniques in increasing students' knowledge and understanding of medical terminology. When compared to the traditional instruction group, the group using the ChatGPT platform demonstrated significant improvements in their test results. ChatGPT offers the opportunity to improve medical terminology learning by providing students with interactive and individualized feedback. The outcomes of this study can assist with the development of novel and successful teaching techniques incorporating artificial intelligence into education.
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References
Al-Jarf, R. (2010). Teaching medical terminology with mind-mapping software. Annals of “Dunărea de Jos” University of Galaţi Fascicle XIII. Language and Literature. New Series, 29, 1-10.
Dahm, M. R. (2011). Exploring perception and use of everyday language and medical terminology among international medical graduates in a medical ESP course in Australia. English for Specific Purposes, 30(3), 186-197.
Ferruz, N., & Höcker, B. (2022). Controllable protein design with language models. Nature Machine Intelligence, 4(6), 521-532.
Haque, M. U., Dharmadasa, I., Sworna, Z. T., Rajapakse, R. N., & Ahmad, H. (2022). " I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data. arXiv preprint arXiv:2212.05856.
McAllister, N., Tavener-Smith, T., & Williams, J. (2022). Roots, prefixes, and suffixes: decoding medical terminology using an online enquiry-based learning intervention for nursing associates. Teaching and Learning in Nursing, 17(3), 256-262.
Qadir, J. (2023, May). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. In 2023 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-9). IEEE.
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1).
Sheikh, H., Prins, C., & Schrijvers, E. (2023). Artificial Intelligence: Definition and Background. In Mission AI: The New System Technology (pp. 15-41). Cham: Springer International Publishing.
Zhai, X. (2022). ChatGPT user experience: Implications for education. Available at SSRN 4312418.
Zhang, C., Zhang, C., Li, C., Qiao, Y., Zheng, S., Dam, S. K., ... & Hong, C. S. (2023). One small step for generative ai, one giant leap for age: A complete survey on Chatgpt in aigc era. arXiv preprint arXiv:2304.06488.
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