An Exploratory Cross-Sectional Study to Analyze the Implications of Artificial Intelligence in Nursing Education.

Abstract

Background: Artificial Intelligence (AI) is rapidly transforming education and healthcare, offering opportunities to enhance learning and practice in nursing. However, its integration into nursing education raises questions about its effectiveness and impact on students and educators. Aim: This study explores the role of AI in nursing education, focusing on its benefits, challenges and implications for students and faculty at a nursing college in Saudi Arabia. Methods: Using an exploratory cross-sectional design, data were collected from 235 participants, including nursing students across all academic levels and faculty members, through a structured online survey. This study was conducted at selected nursing college of Saudi Arabia. The analysis involved descriptive and inferential statistical techniques using SPSS to identify trends and correlations related to AI knowledge, practices and perceptions. Results: Knowledge and skills on AI were assessed separately with four-point scale ranging from strongly agree to strongly disagree. The findings reveal that 70% of the participants displayed sufficient knowledge of AI, knowledge questions are related to information on computer operations and how AI technology helps to make decisions and judgements. About 75% of the subjects reported limited skills in using AI technologies. This finding shows that skill gaps in the application of AI tools. It was analyzed by how much the participants are able to use AI tools. This study was strongly agreed that the participants have less skills in handling AI tools and there was a wide gap between knowledge and skills. Strong statements about AI improving learning are not balanced against the reported skill gaps and difficulties. About 82% of them experienced challenges in managing high- profile AI tools. Despite these obstacles, 77% of the respondents strongly agreed that AI significantly enhances learning by personalizing and streamlining educational experiences. Popular tools, such as ChatGPT and AI-assisted presentations, were identified as practical resources. However, concerns about reduced critical thinking and social interaction skills were prominent, emphasizing the need for balanced AI integration. This results analysis showed significant associations between socio-demographic factors and perceptions of AI's role in nursing education. Conclusion: AI offers significant promise in revolutionizing nursing education and equipping students and educators with innovative teaching and learning AI tools. Nevertheless, these advancements must be paired with comprehensive training, ethical safeguards and strategies to address challenges like overreliance on AI and skill erosion. By thoughtfully integrating AI, nursing education can achieve a balance between technological innovation and the preservation of essential human- centric skills.

Ähnliche Arbeiten