基于知识图谱的自适应学习系统知识模型构建

为解决在线学习平台中知识表现离散、系统性不高和知识模型适用性差等问题，提出基于知识图谱的知识模型构建，再利用 FP-Growth 数据挖掘算法进行关联规则挖掘，实现知识模型的动态更新。通过实践证明，知识图谱可有效改善知识模型的系统性，FP-Growth 算法充分考虑了学生因素对知识模型的影响，提高了模型的适用性。

Knowledge Model of Adaptive Learning System Based on Knowledge Map

In order to solve the problem of discrete knowledge，poor systematization and poor applicability of knowledge model in online learning platform． We propose a knowledge model based on knowledge map，and then use the FP-Growth data mining algorithm to mining association rules to update knowledge model．Practice shows that the knowledge map can effectively improve the systematicness of the knowledge model． The FP-Growth algorithm fully considers the influence of student factors on the knowledge model and improves the applicability of the model．