Research on teaching reform of medical information literacy course based on digital knowledge graph

doi:10.3760/cma.j.cn115259-20240122-00080

Abstract

Abstract: The digital knowledge graph is an artificial intelligence-powered integrated knowledge network and a manifestation of competency-oriented pedagogical innovation. It organically connects various knowledge points to form a comprehensive, multidimensional knowledge framework, thereby enhancing teaching effectiveness and efficiency. To further improve students' ability to utilize information in solving practical problems, the School of Public Health at Hangzhou Medical College implemented digital knowledge graphs in its Medical Information Retrieval and Utilization course starting in 2023. This educational reform initiative includes three key components: developing digital knowledge graphs, establishing digital teaching models, and implementing digital assessment methods. Concurrently, the knowledge graph undergoes continuous optimization through students' learning activities, guiding learners to synthesize fragmented knowledge into systematic structures while providing efficient, targeted knowledge pathways. Post-course evaluations revealed a 97.6% satisfaction rate (284/291) among 291 class of 2022 students. The digital knowledge graph demonstrated significant efficacy in stimulating independent thinking and interdisciplinary integration, effectively advancing comprehensive information literacy cultivation.

Key words: Teaching, Digital knowledge graph, Medical information retrieval and utilization, Information literacy

CLC Number:

R-05

Fang Yaqing, Zhu Lina, Hu Huimei, Wu Haihua. Research on teaching reform of medical information literacy course based on digital knowledge graph[J]. Chinese Journal of Medical Education, 2025, 45(4): 288-292.

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