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Paper Abstract and Keywords
Presentation 2020-03-07 11:00
Development of an Assessment Support System for Detecting Changes of Self-Assessment Using Outlier Analysis
Tetsuya Ebina, Yasuhiko Morimoto (Tokyo Gakugei Univ.) ET2019-78
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, it has become necessary for students to prepare an outlook about their learning by reflecting on it through self-assessment in their learning activities. However, it is not easy for students to recognize changes in self-assessment. It is thought that self-assessment is promoted by making students aware of the changes. Therefore, the purpose of this study is to detect changes in self-assessment. Specifically, we focus on self-assessment using numeric data. We developed and tested an assessment support system that detects changes in self-assessment using outlier analysis and displays resulting prompts. The results suggested that students became encouraged to reflect deeply on their learning by using the system.
Keyword (in Japanese) (See Japanese page) 
(in English) Self-Assessment / Data Mining / Learning Analytics / Outlier Analysis / Numeric Data / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 468, ET2019-78, pp. 13-18, March 2020.
Paper # ET2019-78 
Date of Issue 2020-02-29 (ET) 
ISSN 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 2020-03-07 - 2020-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) National Institute of Technology, Kagawa Collage 
Topics (in Japanese) (See Japanese page) 
Topics (in English) LMS and e-Portfolio, etc. 
Paper Information
Registration To ET 
Conference Code 2020-03-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of an Assessment Support System for Detecting Changes of Self-Assessment Using Outlier Analysis 
Sub Title (in English)  
Keyword(1) Self-Assessment  
Keyword(2) Data Mining  
Keyword(3) Learning Analytics  
Keyword(4) Outlier Analysis  
Keyword(5) Numeric Data  
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Keyword(7)  
Keyword(8)  
1st Author's Name Tetsuya Ebina  
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.)
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Speaker Author-1 
Date Time 2020-03-07 11:00:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2019-78 
Volume (vol) vol.119 
Number (no) no.468 
Page pp.13-18 
#Pages
Date of Issue 2020-02-29 (ET) 


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