Title :
Application of multivariable sequential patterns mining in teaching effect evaluation
Author :
Yan Liu ; Xiaowei Qin ; Yan Zou
Author_Institution :
Comput. & Inf. Eng. Coll., Chifeng Univ., Chifeng, China
Abstract :
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.
Keywords :
data mining; educational administrative data processing; teaching; learning activity guidance; learning activity intervention; learning interest; learning method; multivariable sequential patterns mining; student learning habits; teaching effect evaluation; tutoring system; Educational institutions; multivariable sequences; sequential patterns; teaching effect evaluation;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-4997-0
DOI :
10.1109/ICSESS.2013.6615326
