Artificial Intelligence Chatbot as Perceived by Nursing Students: A Qualitative Study

Joko Gunawan, Yupin Aungsuroch, Colleen Marzilli, Nazliansyah, Erni Chaerani and Jed Montayre

SAGE Open, 2024, vol. 14, issue 4, 21582440241303453

Abstract: This study aimed to explore the perspectives of Indonesian nursing students on the utilization of ChatGPT in their learning process. A qualitative descriptive design was conducted among 19 second-year nursing students (age 18–20) who were purposively selected. Data were collected in February 2023 through online (Zoom meetings) and offline (face-to-face) focus group discussions (FGDs), lasting 43 to 64 min each. The qualitative data were analyzed using thematic analysis. Three main themes were developed: (1) ChatGPT may be helpful but not fully trusted, (2) Nurse skills will never be replaced, and (3) The need for evaluating and advancing curriculum. In conclusion, this study provides vital insights into nursing students’ attitudes toward using ChatGPT. Although acknowledging the ChatGPT’s benefits, students are mindful of its limitations. This study also recommends integrating artificial intelligence and emerging technologies into the nursing curriculum while highlighting nurses’ unique abilities and the essence of caring in nursing.

Keywords: ChatGPT; artificial intelligence; focus groups; nursing students; curriculum; policies (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:14:y:2024:i:4:p:21582440241303453

DOI: 10.1177/21582440241303453

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