The integration of artificial intelligence (AI) in education presents an opportunity to significantly boost student satisfaction through personalized learning experiences. AI-powered tools can adapt educational content to fit the individual needs and preferences of students. Aim: To evaluate the effect of using artificial intelligence in education on student satisfaction and readiness to learn. Research Design: A descriptive correlational research design was used to conduct the current study. Study Sample: A convenient sample of nursing students from the (3rd and 4th year) who enrolled in the (2024-2025 academic year). Faculty of Nursing. Setting: The current study was conducted at Nursing College - Misr University for Science and Technology. Tools: data was collected by using three tools; Personnel Characteristics Data Sheet - AI in Education Assessment Questionnaire - AI on Student Satisfaction in Education Questionnaire -AI on Student Readiness to Learn Questionnaire. Results: There was a significant positive correlation (p < 0.001) between student satisfaction and readiness to learn and the use of AI in education. Age, academic standing, and the amount of time spent online for learning were all substantially correlated with satisfaction and preparedness. With ChatGPT being the most widely used tool, most students expressed neutral to favourable opinions. Conclusion: facilitating individualized learning and prompt feedback, integrating AI into nursing education improves student satisfaction and preparedness. To optimize its advantages, ethical policies, training, and equitable access are necessary. Recommendations: Conscious integration of AI in education can enhance students' satisfaction and readiness to learn, ultimately improving their academic experience and outcomes.
Rashed et al. (Tue,) studied this question.
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