The Effect of Artificial Intelligence on Clinical Practice and Learning Processes in Nursing Education: A Qualitative Study
Year: 2025
Type: article
Abstract: Aim: The study was planned and carried out in a qualitative (case study) type in order to determine the areas of artificial intelligence use in nursing education and its effect on the learning processes of students. Method: Demographic Data Form including the characteristics of nursing students and Semi-structured Interview Form were used as data collection tools. The data were collected with a voice recorder and transferred to a Microsoft Word file using a transcriber. The research data were evaluated by content analysis method and three expert opinions were obtained. MAXQDA program was used in the content analysis process. Results: According to the results of the research, students mostly stated that they benefited from artificial intelligence tools, especially chatgpt. It was stated that chatgpt made significant contributions to conducting research, learning languages, obtaining drug information and obtaining information about applications. The students emphasized that AI should be supported with more reliable and updated sources and pointed out that information pollution should be reduced. In addition, a suggestion was made that AI should only draw data from reliable academic sources. Conclusion: It was seen that AI makes significant contributions to the learning process, but some fundamental issues such as reliability and information pollution need to be addressed. Students offered several suggestions to make AI-supported education more reliable, simple and accessible.
Authors: Meltem Aslan, Aydın Nart, Musab Alpaydın
Institution: İstanbul Gelişim Üniversitesi
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409908571