Application of multivariable sequential patterns mining in teaching effect evaluation
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.