Exploring Artificial Intelligence Literacy among Midwifery Students

Background: The study of artificial intelligence (AI) has gained popularity, particularly in the field of education, but the integration of AI in midwifery education is at an early stage, and the AI literacy level among midwifery students needs to be explored. Purpose: This study aims to explore the AI literacy levels and the associated factors among midwifery students. Methods: A descriptive, cross-sectional, correlational research design guided the study protocol. Data was collected using Artificial Intelligence Literacy Scale (AILS), and the literacy total score was categorized into: low (0-49%, scores < 51), moderate (50-79%, scores 52-58), and high (80-100%, scores >59). (AILS) was distributed online to 250 midwifery students across different academic years. One public university in Jordan consisted the study setting. Results: More than a half of the midwifery student (51%) had a low literacy level toward AI and its technologies, while only 9% had a high literacy level, AI literacy was significantly associated with the academic year of the students (X2 = 9.064, P = 0.05), their awareness about AI (X2 = 9.064, P < 0.001), and frequency of computer use (X2 = 9.320; P < 0.001). Conclusion: This paper provides evidence that literacy levels among midwifery students can vary according to the level of academic year, their awareness of AI, and frequency of computer usage. Students with advanced academic years, who are aware about AI, and frequently using AI technology, have a higher literacy level compared to those with medium or low literacy levels. Implications for Nursing: Integrating AI technologies within the entire curriculum for theory and practice courses is essential. This could be achieved through informing policymakers to plan policies for AI, taking into account funding issues, ethical, inclusive, and equitable use among students, based on up-to-date evidence that aids in the creation of AI education resources supported by pedagogical research and sound methodologies. Keywords: Artificial intelligence, Literacy, Midwifery students, Jordan