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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ET2019-78 |
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) |
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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) |
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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 |
6 |
Date of Issue |
2020-02-29 (ET) |
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