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Personalized courseware construction based on web data mining

机译:基于Web数据挖掘的个性化课件施工

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摘要

In order to adapt the teaching in accordance to individual students' ability in the distance learning environment, a method to construct personalized courseware is proposed by building personalized Web tutor tree and mining both context and structure of the courseware. The concept of web tutor objects and the notion of similarity are proposed. Five algorithms, including Naive Algorithm for tutor topic tree and Level_generate Algorithm to generate web tutor topic of K+I levels, and the experimental results are presented.
机译:为了按照距离学习环境中的个人学生的能力来调整教学,通过构建个性化Web导师树和挖掘课件的上下文和结构来提出构建个性化课件的方法。提出了Web导师对象的概念和相似性的概念。五种算法,包括导师主题树的天真算法和Level_generation算法生成K + I级的Web导师主题,并提出了实验结果。

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