DocumentCode :
261872
Title :
Knowledge discovery potential in automated test assembly
Author :
Ignjatovic, Miroslava ; Bojic, Dragan ; Furlan, Bojan ; Tartalja, Igor
Author_Institution :
Visoke Skole Strukovnih Studija Za Informacione i Komunikacione Tehnologije, Belgrade, Serbia
fYear :
2014
fDate :
25-27 Nov. 2014
Firstpage :
1051
Lastpage :
1054
Abstract :
Creating knowledge tests in academic institutions is a procedure that is frequently repeated, and which requires examiner´s effort and significant time invested. The procedure is complex and demands objectivity of the examiner, test consistency and reliability. Automating the procedure can improve objectivity and facilitate the process to the examiner. This paper analyses potential of the proposed method for automated test assembly based on existing test bank, using method knowledge discovery and the nearest neighbor algorithm.
Keywords :
data mining; educational administrative data processing; educational institutions; academic institutions; automated test assembly; examiner effort; knowledge discovery; knowledge tests; nearest neighbor algorithm; test bank; Assembly; Electronic mail; Genetic algorithms; Java; Knowledge discovery; Servers; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications Forum Telfor (TELFOR), 2014 22nd
Conference_Location :
Belgrade
Print_ISBN :
978-1-4799-6190-0
Type :
conf
DOI :
10.1109/TELFOR.2014.7034587
Filename :
7034587
Link To Document :
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