Construction and application of knowledge graph in Health Assessment Course
Objective To construct a knowledge graph for the Health Assessment Course and investigate students'usage experiences.Methods The Neo4j graph database was utilized to construct a knowledge graph for the Health Assessment Course.From May to July 2023,the knowledge graph was implemented in the Health Assessment Course for 83 second-year nursing undergraduate students from the Grade 2021 of a medical university who had not used a knowle dge graph previously.After the course,students'practice duration and frequency on knowledge points,overall satisfaction with the knowledge graph platform,and willingness to continue using it for learning were evaluated.Additionally,17 students were purposively sampled for semi-structured interview to collect their feedback.Results The constructed knowledge graph consisted of 199 knowledge points,2 890 nodes,and 2 628 attributes,with 168 types of inclusion relationships,97 types of sequential relationships,and 37 types of correlation relationships established among the nodes.The average learning duration for knowledge points among the 83 students was 0.17(0.17,3.37)hours,with an average practice frequency of 1(1,33)times.The overall satisfaction with the knowledge graph platform was 8.00(7.00,9.00)out of 10,and 99％(82/83)of students expressed willingness to continue using the knowledge graph for learning.Interviews revealed that students believed the application of the knowledge graph for the Health Assessment Course enhanced their learning engagement,alleviated exam anxiety,facilitated clearer learning paths,ensured comprehensive content coverage,and deepened understanding and memory of knowledge.However,there were still some unmet learning needs.Conclusion Positive feedback is got for using the knowledge graph in the Health Assessment Course,which can facilitate the efficient and systematic learning,and ultimately improving their learning effects.
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