Knowledge and Attitude of Nursing Students Regarding Artificial Intelligence

Document Type : Original Article

Authors

1 Lecturer of Nursing Administration, Faculty of Nursing, Ain Shams University.

2 Lecturer of Nursing Administration, Faculty of Nursing, Ain Shams University

Abstract

Background: A massive growing of AI products crossways all views of healthcare. Nursing practice is grave where AI technology will enrich practice and patient outcomes Aim of the study: to investigate the level of knowledge and attitude of nursing students regarding artificial intelligence. Design: A descriptive cross-sectional model was employed in this study. Setting: The faculty of nursing Ain Shams University served as the research site. Subjects: For the study, 222 nursing students were selected. Data collection Tools: Knowledge regarding artificial intelligence questionnaires and the student attitudes toward artificial intelligence (SATAI) were the two tools used. Results: A total of 65.6% of the understudied nursing students had a moderate level of total AI knowledge. In addition, 82.6% of the participants had positive attitudes toward total AI. Conclusion: there is a very statistically significant positive association between nursing students' total knowledge and their attitude toward AI. Recommendations providing nursing students with AI-related training courses, webinars, and seminars. It's important to highlight how AI may be used for societal good. Students are more likely to be more motivated to study AI if they do this.

Keywords

Egyptian Journal of Health Care
Volume 15, Issue 3
September 2024
Pages 510-523

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