Future and Challenges of Artificial Intelligence in Nursing Education

With the advancement of information technology, artificial intelligence, big data analytics, and the Internet of Things（IoT）, artificial intelligence is gradually integrating into higher education, and nursing education is no exception. The application of artificial intelligence in nursing education helps enhance learning experiences, provide personalized learning and progress tracking, improve clinical decision-making abilities, and address the shortage of clinical internship opportunities. However, challenges include biases due to poor database quality, ethical considerations, lack of interpersonal relationships, and disagreement among nursing educators regarding the use of artificial intelligence. Although nursing education has rich teaching methods with the application of artificial intelligence, it has not yet reached the level of smart education overall. In the future, fundamental reforms are needed in multiple aspects such as cultivating objectives, curriculum design, teaching organization, and teaching methods. Nursing education should assist students in using artificial intelligence correctly and responsibly while upholding the core values of caring. The future core objective of nursing education remains to cultivate nursing professionals with empathy and critical thinking, while appropriately and effectively integrating artificial intelligence into education to optimize students' preparation for the healthcare field, and to early cultivate and reserve a new generation of nursing talents.