Abstract:

Objective To explore the construction methods and evaluate teaching effects of an undergraduate courses in Nursing Informatics and Artificial Intelligence. Methods Guided by national policies and based on literature review and expert consultation，a two-round Delphi method was conducted with 12 experts，resulting in 13 course objectives，8 first-level indicators，and 33 second-level indicators for course content. A multidisciplinary teaching team was established through an open selection process，and focus group discussions were used to determine the teaching methods，including lectures，discussions，case analyses，and online resource recommendations. The 20-hour course was implemented at a university from September 2024 to February 2025 with 93 enrolled students. Teaching evaluation was conducted through the assessment of students’ course performance，teaching effectiveness，and satisfaction. Results The students’ average score was 93.58 ± 2.60. The design topics reported by the students involved intelligent eldercare for home-bound older adults，intelligent nursing training platforms，online research platforms，and intelligent management of drug expiration. The scores for all items in the teaching effectiveness and satisfaction evaluations were above 9 points. Conclusion The construction process of the undergraduate course in Nursing Informatics and Artificial Intelligence was scientifically sound and reliable，with advanced content. Students demonstrated high engagement and provided positive evaluations of the teaching effectiveness and their satisfaction. The successful implementation relied on key enablers：an interdisciplinary teaching team，a university-enterprise collaboration mechanism，and high-standard practical training facilities.

Key words: Nursing Informatics, Artificial Intelligence, Education, Nursing, Curriculum, Teaching Practice