Exploring Curriculum Improvement Directions for Enhancing AI Competency in Nursing Teacher Education

Objectives This study aimed to analyze the current status of AI competency among nursing students in a teacher training program and propose practical strategies to effectively integrate AI-based education into the curriculum. Methods A survey and focus group interviews were conducted with nursing students at a university in South Korea. The survey examined AI concept understanding, human-AI relationship perception, application competency, and AI ethics awareness. Focus group interviews explored curriculum design, instruction, and assessment improvements for AI integration. Results Students highly recognized the need for AI and digital technology education within the teacher training curriculum. They emphasized the importance of project- and practice-based learning, AI simulation tools, blended learning, and team-based problem-solving. Additionally, they expressed the need to integrate AI education into existing courses, apply performance-based assessments, and include AI competency evaluation in teaching practicums. Conclusions To enhance AI competency, expanding practice-based learning, systematically integrating AI content, and establishing performance-focused assessments are essential. This study presents specific improvement directions and highlights the need for broader follow-up research to build a sustainable, AI-integrated teacher education model.