Presentation 2014-05-24
A missing value estimation method for e-Learning log using cluster analysis
Nuo Zhang, Hiroaki Kimura, Masanori Takagi,
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Abstract(in English) It is expected to improve instructors and students performance using collected data from e-Learning system. However, missing value always existed in the collected data in real world makes the low accuracy of the data analysis. In this paper, we propose a missing value complementary method using cluster analysis with e-Learning log data and questionaires answered by students who have taken the e-Learning courses. The simulation results show the performance of the proposed method.
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Keyword(in English) missing value estimation / educational data mining / data mining
Paper # ET2014-1
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Conference Information
Committee ET
Conference Date 2014/5/17(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A missing value estimation method for e-Learning log using cluster analysis
Sub Title (in English)
Keyword(1) missing value estimation
Keyword(2) educational data mining
Keyword(3) data mining
1st Author's Name Nuo Zhang
1st Author's Affiliation KDDI R&D Laboratories, Inc.()
2nd Author's Name Hiroaki Kimura
2nd Author's Affiliation KDDI R&D Laboratories, Inc.
3rd Author's Name Masanori Takagi
3rd Author's Affiliation Iwate Prefectural University
Date 2014-05-24
Paper # ET2014-1
Volume (vol) vol.114
Number (no) 53
Page pp.pp.-
#Pages 4
Date of Issue