Perspectives, Attitudes, and Personality Traits of Maternity Nursing Students Toward the Use of Artificial Intelligence in Education

Document Type : Original Article

Authors

1 Professor of Maternal and Newborn Health Nursing, Faculty of Nursing, Badr University in Cairo and Fayoum university Egypt

2 Lecturer of Maternal and Newborn Health Nursing, School of Nursing, Badr University in Cairo-Egypt

3 Assistant professor Nursing Education Faculty of Nursing - Damanhour

10.21608/ejhc.2025.435427

Abstract

Background: Recently, artificial intelligence (AI) technology has advanced quickly, and its application in nursing education and healthcare has grown. In education, artificial intelligence (AI) can be applied to analysis, prediction, guidance, assessment, and adaptive learning. The aim of the study was to evaluate the perspectives, attitudes, and personality traits of maternity nursing students toward the use of artificial intelligence in education. Research design: Descriptive Cross-Sectional Study was used to achieve the aim of this study Setting: The present study carried out in the faculty of nursing Badr university in Cairo Sample: A convenience sampling technique was used to recruit participants for this study including 158 maternity nursing students. Tools of data collection: Four tools were used: I) Socio-Demographic Profile and AI Experience of Maternity Nursing Students II) General Attitudes Toward Artificial Intelligence Scale (GAAIS) III) Ten Item Personality Inventory Tool (TIPI) IV) Students’ knowledge toward artificial intelligence. Result: The majority of maternity nursing students displayed a positive attitude toward AI, while a third displayed a negative attitude. More than two-thirds of maternity nursing students displayed positive personality traits according to the Ten-Item Personality Inventory (TIPI) and had good knowledge of AI, while just over a third displayed negative traits and had poor knowledge of AI, with a statistically significant difference. Conclusion: This study concluded that the majority of maternity nursing students demonstrated good knowledge of artificial intelligence, positive attitudes, and strong personality traits associated with openness and conscientiousness, suggesting that these factors collectively influence receptiveness to AI. Recommendation: Nursing faculties should incorporate comprehensive AI-related content into undergraduate maternity nursing programs, including both theoretical foundations and hands-on applications, to enhance students’ digital literacy and clinical preparedness.

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