Mastering medical terminology with ChatGPT and Termbot

Abstract

Objective: This study intended to examine whether the utilization of ChatGPT and Termbot enhances students’ understanding of medical terminology. Method: ChatGPT, developed by OpenAI, is an AI chatbot designed to generate human-like text responses. Termbot is a chatbot-based learning model focused on improving the acquisition of medical terminology through gamified learning methods. A total of 60 participants participated in this exploratory study, with 40 nursing students assigned to the experimental group and 20 nursing students assigned to the control group. In the experimental group, participants were further divided into two groups of 20, one of which was trained with ChatGPT and the other with Termbot. The participants in the experimental group engaged with the assigned tools for a minimum of 2 hours per week following classroom instruction. The control group used a traditional textbook as their primary learning resource. The study lasted 2 months, after which participants’ learning outcomes were evaluated using an online medical terminology exam post-test. Results: The study found that participants in the experimental group had significantly improved learning outcomes compared to participants in the control group. The results showed a substantial increase in post-test scores for both ChatGPT and Termbot groups, indicating that using these tools as learning assistants can assist students in the learning process. Conclusion: The study has important implications for educators and educational institutions, as it provides evidence for the potential benefits of using ChatGPT and Termbot as tools to improve students’ learning outcomes. The findings intensifyt the importance of embracing new technologies in education and using them to supplement traditional teaching methods.

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