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知识点结构关系的提取及可视化对提高ITS的学习导航具有重要作用。本文建立知识点结构模型,将学习背景矩阵(学习者的个人认知结构)考虑进去,运用算法提取知识点间的关联信息,生成符合个性化学习的知识点结构关系,并引入可视化技术,以形象直观的图形将知识点之间的关系、知识点应该达到的学习程度等呈现给学习者,便于他们在头脑中构建学科的基本结构、形成整体概念、明确知识点的学习序列及学习目标。
The extraction and visualization of knowledge point structure relation plays an important role in improving ITS learning and navigation. This paper builds a knowledge point structure model, taking into account the learning background matrix (learner’s personal cognitive structure), using algorithm to extract the related information between knowledge points and generate the knowledge point structural relationship that accords with individualized learning, and introduces the visualization technology The visual image of the image presents the relationship between the knowledge points and the degree of learning that the knowledge point should reach to the learner, so as to facilitate them to construct the basic structure of the discipline in their mind, form the overall concept, and clarify the learning sequence and learning objectives of the knowledge point.