Use of artificial intelligence image generation to promote self-reflection and recognition of unconscious bias: A cross-sectional study of nursing students

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Bibliografske podrobnosti
izdano v:	Nurse Education in Practice vol. 88 (Oct 2025), p. 104579-104587
Glavni avtor:	Mullan, Leanne
Drugi avtorji:	Arbuckle, Bethany, Luck, Wendy
Izdano:	Elsevier Limited
Teme:	Quantitative analysis Students Clinical training Curricula College students Clinical skills Professional identity Image generation Distance learning Unconsciousness Cross-sectional studies Medical education Artificial intelligence Professional practice Clinical medicine Bias Data Teaching Nurses Learning Qualitative research Higher education Nursing education Catholics Observational studies Disability Epidemiology Selfreflection Recognition Chronic illnesses Reflective practice Acknowledgment Generative artificial intelligence Nursing Polls & surveys Selfawareness Respondents People with disabilities Data collection Clinical nursing Statistics Reflection Educational Practices Confidentiality Chronic Illness Instructional Effectiveness Learner Engagement Learning Modules Algorithms Focus Groups Units of Study Influence of Technology Learning Strategies Learning Theories Learning Experience Instructional Materials Ethics Feedback (Response) Beliefs Electronic Learning Data Analysis Grounded Theory
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