DocumentCode
672950
Title
EPAC: Examination Paper Automatic Construction Based on K-Means Algorithm
Author
Yuli Song ; Feng Hong
Author_Institution
Qingdao Coll. of Hotel Manage., Qingdao, China
fYear
2013
fDate
16-17 Nov. 2013
Firstpage
232
Lastpage
235
Abstract
Constructing examination paper is one of the important parts of teaching process. A good examination paper should meet a lot of specific requirements, like knowledge points, quantities, types and difficulties. So it is a multi-targets optimization problem for constructing examination papers, which is hard to realize automatically. This paper provides the examination paper automatic construction system (EPAC), exploiting K-Means algorithm as its core for multi-targets optimization. And EPAC is realized through the example of Computer Networks, whose performance is confirmed comparing to randomly chosen process.
Keywords
educational administrative data processing; optimisation; pattern clustering; random processes; EPAC; computer networks; examination paper automatic construction; k-means algorithm; multitarget optimization; randomly chosen process; Clustering algorithms; Education; Equations; Optimization; Partitioning algorithms; Signal processing algorithms; Vectors; Examination Paper; K-Means Clustering; Random Choosing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications (ITA), 2013 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-2876-7
Type
conf
DOI
10.1109/ITA.2013.61
Filename
6709977
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