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Application of multivariable sequential patterns mining in teaching effect evaluation

机译:多变量顺序模式挖掘在教学效果评价中的应用

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摘要

Build the multivariable model for teaching effect evaluation in tutoring system, and discuss the algorithm and application of multivariable sequential patterns mining in tutoring system. The mining results can find the learning habits and advantages of students, and help students to correct learning method and increase learning interest, so that we can realize the intervention and guidance of learning activities through tutoring system.
机译:构建辅导系统教学效果评估的多变量模型,探讨了多变量顺序模式挖掘系统的算法和应用。采矿业绩可以找到学生的学习习惯和优势,并帮助学生纠正学习方法,增加学习兴趣,以便我们通过辅导系统实现学习活动的干预和指导。

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