Abstract:

Objective To explore the effectiveness of the Case-Based Learning（CBL） combined with Seminar teaching method supported by knowledge graph in the clinical teaching of undergraduate nursing interns in the Neurology Department. Methods A knowledge graph for neurological diseases，focusing on cerebrovascular diseases，was constructed through ontology construction，knowledge extraction，knowledge fusion，knowledge storage，and visualization. Fourty nursing students who entered the department from June 1，2023 to March 31，2024 were assigned to the control group，and 40 nursing students who entered the department from June 1，2024 to March 31，2025 were assigned to the experimental group. The control group carried out teaching activities using traditional methods，while the experimental group adopted the CBL combined with seminar teaching method supported by knowledge graph. Theoretical knowledge scores（upon entry and exit of the department） and clinical thinking ability were compared between groups. The experimental group’s acceptance of the teaching method was surveyed，and semi-structured interviews were conducted with students and clinical teachers to explore their experiences and suggestions. Results The experimental group outperformed the control group in both theoretical assessment scores and clinical thinking ability scores（P<0.05）. Among nursing students in the experimental group，72.5% believed that the teaching mode was helpful for forming a pattern of thinking and solving problems. Both teachers and students acknowledged its benefits in enhancing learning interest，teaching efficiency，and learning transfer，however，while noting that its deeper implementation faced challenges. Conclusion The CBL combined with seminar teaching method supported by knowledge graph can improve the theoretical knowledge acquisition，cultivate clinical thinking，and improve teaching and learning outcomes for undergraduate nursing interns in neurology.

Key words: Knowledge Graph, Case-Based Learning, Seminar Teaching Method, Nursing Interns, Undergraduate, Neurology Department