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Paper Abstract and Keywords
Presentation 2012-11-17 14:20
Development of a Sequential Pattern Mining Method for Analysis Programming Learning History
Kaname Nozaki, Yasuhiko Morimoto (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.) ET2012-61
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we aim to implement a help method for the analysis of student’s learning history in the Programming Exercise class based on their learning process. As an approach to achieve this purpose, we developed a new method of sequential pattern mining specializing in the analysis of programming learning history. First, we developed a data processing method to express a transition of learning as a sequence from the source code and the content of error messages that students made during the exercise. Next, we developed tools for collecting programming learning histories, generating a sequence of learning from programming learning histories, extracting patterns by SPADE pattern extraction algorithm, and assisting in the acquisition of knowledge from extracted patterns. By using the tools repeatedly, we were able to effectively analyze the relationships between learning process and learning situation during the Programming Exercise class, and to expect the acquisition of knowledge useful when we want to understand the learning situation of status based on their learning process.
Keyword (in Japanese) (See Japanese page) 
(in English) Programming Learning / Education Support / Educational Data Mining / Sequential Pattern Mining / Learning History / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 300, ET2012-61, pp. 49-54, Nov. 2012.
Paper # ET2012-61 
Date of Issue 2012-11-10 (ET) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee ET  
Conference Date 2012-11-17 - 2012-11-17 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To ET 
Conference Code 2012-11-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of a Sequential Pattern Mining Method for Analysis Programming Learning History 
Sub Title (in English)  
Keyword(1) Programming Learning  
Keyword(2) Education Support  
Keyword(3) Educational Data Mining  
Keyword(4) Sequential Pattern Mining  
Keyword(5) Learning History  
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1st Author's Name Kaname Nozaki  
1st Author's Affiliation Tokyo Gakugei University (Tokyo Gakugei Univ.)
2nd Author's Name Yasuhiko Morimoto  
2nd Author's Affiliation Tokyo Gakugei University (Tokyo Gakugei Univ.)
3rd Author's Name Shoichi Nakamura  
3rd Author's Affiliation Fukushima University (Fukushima Univ.)
4th Author's Name Youzou Miyadera  
4th Author's Affiliation Tokyo Gakugei University (Tokyo Gakugei Univ.)
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Speaker Author-1 
Date Time 2012-11-17 14:20:00 
Presentation Time 20 minutes 
Registration for ET 
Paper # ET2012-61 
Volume (vol) vol.112 
Number (no) no.300 
Page pp.49-54 
#Pages 6 
Date of Issue 2012-11-10 (ET) 

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