DocumentCode :
1925374
Title :
On-line contents analysis system for e-learning
Author :
Ueno, Maomi
Author_Institution :
Nagaoka Univ. of Technol., Japan
fYear :
2004
fDate :
30 Aug.-1 Sept. 2004
Firstpage :
762
Lastpage :
764
Abstract :
This paper proposes a new contents analysis method for e-learning by using response time data. The unique features of this paper are as follows: 1) From information theoretic approach, the Gamma distribution is derived as a probability distribution of response time in the e-learning. 2) The two parameters in the Gamma distribution, α and β, are respectively interpreted as follows: The parameter α means "Complexity of the content (which means the numbers of simple understanding processes to understand or solve the content )" and the parameter β means "Easiness of the simple understanding process in the content". As a contents analysis method, this paper proposes "α-β chart". 3) An online system by using the proposed method is introduced. Furthermore, this paper demonstrates some efficient points of the developed system.
Keywords :
computer aided instruction; information theory; statistical distributions; α-β chart; Gamma distribution; e-learning; information theoretic approach; online content analysis system; online system; probability distribution; Data analysis; Delay; Distance learning; Electronic learning; Entropy; Exponential distribution; History; Mathematical model; Probability distribution; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2004. Proceedings. IEEE International Conference on
Print_ISBN :
0-7695-2181-9
Type :
conf
DOI :
10.1109/ICALT.2004.1357649
Filename :
1357649
Link To Document :
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