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Paper Abstract and Keywords
Presentation 2017-02-20 10:30
Predicting View and Exit Rates on MOOC
Yusuke Fukushima, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo), Kenshiro Mori, Kensho Suzuki (Schoo)
Abstract (in Japanese) (See Japanese page) 
(in English) While massive open online courses (MOOC) have gained increasing popularity in recent years, predicting the number of students who attend and leave from classes is an important task to analyze their interests. In this paper, we proposed a method to predict the number of views and dropout rates. The effect of each factor, such as broadcasting dates and contents of classes, was also investigated to reveal the components that are significant to prediction. We tested our method using a collection of 2,327 lecture videos broadcasted in Schoo.
Keyword (in Japanese) (See Japanese page) 
(in English) e-learning / MOOC / regression / / / / /  
Reference Info. IEICE Tech. Rep.
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Conference Information
Committee IE ITS ITE-AIT ITE-HI ITE-ME ITE-MMS ITE-CE  
Conference Date 2017-02-20 - 2017-02-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ITE-HI 
Conference Code 2017-02-CE-MMS-AIT-HI-ME-ITS-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Predicting View and Exit Rates on MOOC 
Sub Title (in English)  
Keyword(1) e-learning  
Keyword(2) MOOC  
Keyword(3) regression  
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1st Author's Name Yusuke Fukushima  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Toshihiko Yamasaki  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Kiyoharu Aizawa  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Kenshiro Mori  
4th Author's Affiliation Schoo,inc. (Schoo)
5th Author's Name Kensho Suzuki  
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Speaker Author-1 
Date Time 2017-02-20 10:30:00 
Presentation Time 15 minutes 
Registration for ITE-HI 
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Volume (vol) vol.116 
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