Facilitating nursing and health education by incorporating ChatGPT into learning designs

Traditional nursing and health education design courses usually only transfer knowledge via lectures, and lack interaction, drills and personalized feedback. However, the development and widespread adoption of generative artificial intelligence via the ChatGPT system presents an opportunity to addre...

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Vydané v:Educational Technology & Society Ročník 27; číslo 1; s. 215 - 230
Hlavní autori: Ching-Yi Chang, Chin-Lan Yang, Hsiu-Ju Jen, Hiroaki Ogata, Gwo-Haur Hwang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Palmerston North International Forum of Educational Technology & Society 01.01.2024
International Forum of Educational Technology & Society
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ISSN:1176-3647, 1436-4522
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Abstract Traditional nursing and health education design courses usually only transfer knowledge via lectures, and lack interaction, drills and personalized feedback. However, the development and widespread adoption of generative artificial intelligence via the ChatGPT system presents an opportunity to address these issues. Some CIDI model-based ChatGPT systems have been developed, but how to effectively apply these technologies in nursing education design courses remains a challenging problem for researchers. In order to explore the application mode and effect of generative artificial intelligence via ChatGPT technology in nursing education, this study integrated generative artificial intelligence via the ChatGPT system into the teaching activities of nursing and health education design courses, and used computers as learning tools to guide learners to learn nursing and health knowledge. At the same time, two classes of nursing undergraduates were recruited to conduct a quasi-experiment. One of the classes was the experimental group, which used the generative artificial intelligence via the ChatGPT system for learning; the other class was the control group, which used traditional teaching methods for learning. By analyzing learners’ learning efficiency and learning satisfaction, we obtained results about the application effect of generative artificial intelligence via ChatGPT technology in a nursing education design course. According to the experimental results, the generative artificial intelligence via ChatGPT system effectively improved learners’ critical thinking ability, problem solving, and learning enjoyment. These results indicate that the generative artificial intelligence via ChatGPT system has great potential in nursing education design courses, and can improve the deficiencies of traditional teaching methods.
AbstractList Traditional nursing and health education design courses usually only transfer knowledge via lectures, and lack interaction, drills and personalized feedback. However, the development and widespread adoption of generative artificial intelligence via the ChatGPT system presents an opportunity to address these issues. Some CIDI model-based ChatGPT systems have been developed, but how to effectively apply these technologies in nursing education design courses remains a challenging problem for researchers. In order to explore the application mode and effect of generative artificial intelligence via ChatGPT technology in nursing education, this study integrated generative artificial intelligence via the ChatGPT system into the teaching activities of nursing and health education design courses, and used computers as learning tools to guide learners to learn nursing and health knowledge. At the same time, two classes of nursing undergraduates were recruited to conduct a quasi-experiment. One of the classes was the experimental group, which used the generative artificial intelligence via the ChatGPT system for learning; the other class was the control group, which used traditional teaching methods for learning. By analyzing learners’ learning efficiency and learning satisfaction, we obtained results about the application effect of generative artificial intelligence via ChatGPT technology in a nursing education design course. According to the experimental results, the generative artificial intelligence via ChatGPT system effectively improved learners’ critical thinking ability, problem solving, and learning enjoyment. These results indicate that the generative artificial intelligence via ChatGPT system has great potential in nursing education design courses, and can improve the deficiencies of traditional teaching methods.
Author Hiroaki Ogata
Chin-Lan Yang
Ching-Yi Chang
Gwo-Haur Hwang
Hsiu-Ju Jen
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Computer-assisted learning
Generative artificial intelligence in education
ChatGPT
Nursing Training
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SubjectTerms Artificial Intelligence
Chatbots
chatgpt
computer-assisted learning
Control Groups
Course Content
Critical Thinking
Education
Experimental Groups
Generative artificial intelligence
generative artificial intelligence in education
generative artificial intelligence via chatgpt system
Health education
Knowledge management
Nursing education
nursing training
Problem solving
System effectiveness
Teaching methods
Thinking Skills
Undergraduate Students
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