Authors: (including presenting author): :
Tsang CM(1), Chan CM(1), Tang YY(1), Kong CY(1)
Affiliation: :
(1) Department of Orthopedics and Traumatology, United Christian Hospital
Keyword 1: :
Artificial intelligence
Keyword 2: :
Traction splint
Introduction: :
Continuous learning is necessary for nurses to maintain current and competent skills. Nowadays, the conventional methods of learning are being integrated with AI technologies, which significantly enhanced the engagement and learning results of nurses (Labrague, Sabei & Yahyaei, 2025). Faculty members in worldwide Nursing Tertiary education also expressed positive attitudes in AI integration of nursing education (Gendler, Ehmke, Patel & Ofri, 2026). AI provided significant benefits for nursing education (Lisfshits & Rosenberg, 2024). Therefore, our department is going to immerse AI generated learning aid to facilitate junior nurses in learning traction splint care.
Objectives: :
(1) All junior nurses are able to apply traction splint independently; (2) All junior nurses show improvement on knowledge of traction splint via an electronic test (e-test); (3) All junior nurses agree that AI-generated learning video facilitates their learning.
Methodology: :
An educational video which is generated by “HeyGen”, an AI generated tool, demonstrates the traction splint application and care. Thirteen junior nurses (less than 5 years clinical experience) are invited. Knowledge of traction splint application and care is assessed before and after the training via e-test. Individual return demonstration of applying traction splint is required. At the end of the training, a satisfaction electronic questionnaire regarding the video is measured.
Result & Outcome: :
Positive impacts of AI adoption in this project offer an insight to nurses learning. More AI-generated video can be promoted in our department in order to facilitate nurses learning. Reference Gendler, Y., Ehmke, S. D., Patel, S. E., & Ofri, L. (2026). Integrating generative AI in nursing education: A comparative analysis of faculty knowledge, skills, and attitude. Teaching and Learning in Nursing. Labrague, L. J., Sabei, S. A., & Yahyaei, A. A. (2025). Artificial intelligence in nursing education: A review of AI-based teaching pedagogies. Teaching and Learning in Nursing, 20(3), 210-221 Lifshits, I., & Rosenberg, D. (2024). Artificial intelligence in nursing education: A scoping review. Nurse Education in practice, 80, 104148
