Research on the Empowerment of Digital and Intelligent Construction of Insurance Courses by Knowledge Graphs in the Context of AI

Abstract

Abstract: With the deepening integration of Artificial Intelligence (AI) technology in education, there is growing urgency to explore digital and intelligent empowerment for insurance course instruction. This paper proposes a hybrid teaching model combining “AI-driven knowledge graphs + six-step methodology” . By constructing three types of course maps, curriculum mapping, application mapping, and learning situation mapping, it enables dynamic delivery of teaching resources and precise analysis of student performance. The approach aims to enhance resource utilization efficiency and improve practical application test scores for students, providing a replicable practical framework for the digital and intelligent reform of insurance courses.

Key words: Insurance course, Knowledge graph, Artificial Intelligence(AI), Digital intelligence teaching, Teaching reform, AI drive

CLC Number:

F840-4
G641

BAI Yuqi. Research on the Empowerment of Digital and Intelligent Construction of Insurance Courses by Knowledge Graphs in the Context of AI[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(7): 31-33.

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