DocumentCode
3275659
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
fYear
2013
fDate
23-25 May 2013
Firstpage
369
Lastpage
372
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location
Beijing
ISSN
2327-0586
Print_ISBN
978-1-4673-4997-0
Type
conf
DOI
10.1109/ICSESS.2013.6615326
Filename
6615326
Link To Document