| 英文摘要 |
Taiwan officially entered a super-aged society in 2025. Driven by population aging, the full implementation of Long-Term Care 3.0, and the integration of smart health technologies into healthcare, the healthcare system is undergoing a structural transformation. Artificial Intelligence (AI) has been widely applied in areas such as clinical decision support, health monitoring, care process optimization, and professional education. These applications have not only enhanced healthcare efficiency but have also created new opportunities for the advancement of the nursing profession. As nurses constitute the core workforce of healthcare services, humanistic caring must remain central, even as AI-driven technologies are integrated, to ensure quality of care and preserve patient dignity. Healthcare institutions and nursing leaders therefore bear the responsibility of establishing supportive professional environments, encouraging the appropriate adoption of AI technologies, upholding patient-centered care principles, and actively responding to contemporary healthcare transformations. Current nursing students predominantly belong to Generation Z, whose patterns of technology use, information processing, and learning feedback expectations differ significantly from those of previous generations. Consequently, balancing generational learning characteristics, industry demands, and the development of humanistic caring competencies has become a critical issue that nursing education must systematically address. This paper examines the development and application of AI in nursing, the core competencies required of nurses in the AI era, the learning characteristics and instructional strategies of Generation Z nursing students, and the overall integration of AI literacy into nursing curricula. It further argues that nursing education should cultivate professionals equipped with AI literacy, clinical decision-making abilities, interprofessional collaboration skills, ethical judgment, and human-centered caring competencies to meet the professional demands arising from the concurrent transformations brought about by the AI era and the transition to an aged society. |