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Generative Artificial Intelligence: A Reflexive Thematic Analysis of Nursing Students' Perceptions Following a Guided
Heather Hawk1, Michael Coriasco, Jeffrey R Jones
1Author Affiliation: School of Nursing, Oregon Health & Science University, Portland, Oregon.
Background:
Understanding the functionality, benefits, and limitations of generative artificial intelligence (GAI) is important for nurses and nursing students.
Purpose:
This study explored nursing students' perspectives on GAI after a guided learning activity in which students used a chatbot to answer a clinical question.
Methods:
A qualitative approach using reflective thematic analysis of written reflections was conducted with 19 nursing students in a nursing baccalaureate completion program.
Results:
Student reflections demonstrated 4 themes: surprisingly familiar; the importance of critical thinking and external validation; a good summary lacking depth and nuance; and cautious optimism. Two subthemes were also identified: validation is time-consuming and a new perspective.
Conclusions:
Learning activities using GAI influence students' knowledge and attitudes and instill critical awareness of the advantages and limitations of this technology. Additional emphasis on bias in GAI is needed when teaching about AI.
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