Optimization and Practice of Financial Engineering Course Knowledge Graph Based on Learning Style Assessment
To simplify complex content and concretize abstract concepts in the financial engineering course,this study optimizes the course's knowledge graph based on learning style assessments,aiming to improve teaching ef-fectiveness and student engagement.Using the Solomon Learning Styles Questionnaire,the learning styles of 2021 and 2022 cohorts of economic and trade majors at a certain university were evaluated,and the knowledge graph was optimized accordingly.The results indicate that most students tend toward reflective,intuitive,visual,and se-quential learning styles.Therefore,the knowledge graph was optimized by adding visual content,detailed textual explanations,concise new concept introductions,and logical sequencing to better meet the needs of students with different learning styles.This provides practical references for personalized teaching and the application of knowl-edge graphs in education.
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