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
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;
Conference_Titel :
Information Technology and Applications (ITA), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-2876-7
DOI :
10.1109/ITA.2013.61