Real-time analysis of digital textbooks: What keywords make lecture difficult?

© 2017 Asia-Pacific Society for Computers in Education. All rights reserved. This paper describes a real-time learning analytics to find learning contents or keywords that students don't understand in digital textbooks. We developed a digital textbook viewer system that can collect students...

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Main Authors: Kousuke Mouri, Atsushi Shimada, Chengjiu Yin, Uosaki Noriko, Vachirawit Tengchaisri, Keiichi Kaneko
Other Authors: Tokyo University of Agriculture and Technology
Format: Conference or Workshop Item
Published: 2018
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/42377
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Institution: Mahidol University
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spelling th-mahidol.423772019-03-14T15:03:26Z Real-time analysis of digital textbooks: What keywords make lecture difficult? Kousuke Mouri Atsushi Shimada Chengjiu Yin Uosaki Noriko Vachirawit Tengchaisri Keiichi Kaneko Tokyo University of Agriculture and Technology Kyushu University Kobe University Osaka University Mahidol University Computer Science © 2017 Asia-Pacific Society for Computers in Education. All rights reserved. This paper describes a real-time learning analytics to find learning contents or keywords that students don't understand in digital textbooks. We developed a digital textbook viewer system that can collect students' learning logs. By analyzing and visualizing the collected learning logs in real time, teachers can visually find the keywords that students don't understand during a class. This paper describes the contribution of real-time learning analytics for supporting teachers. 2018-12-21T07:23:53Z 2019-03-14T08:03:26Z 2018-12-21T07:23:53Z 2019-03-14T08:03:26Z 2017-01-01 Conference Paper Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings. (2017), 733-735 2-s2.0-85053910478 https://repository.li.mahidol.ac.th/handle/123456789/42377 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053910478&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
spellingShingle Computer Science
Kousuke Mouri
Atsushi Shimada
Chengjiu Yin
Uosaki Noriko
Vachirawit Tengchaisri
Keiichi Kaneko
Real-time analysis of digital textbooks: What keywords make lecture difficult?
description © 2017 Asia-Pacific Society for Computers in Education. All rights reserved. This paper describes a real-time learning analytics to find learning contents or keywords that students don't understand in digital textbooks. We developed a digital textbook viewer system that can collect students' learning logs. By analyzing and visualizing the collected learning logs in real time, teachers can visually find the keywords that students don't understand during a class. This paper describes the contribution of real-time learning analytics for supporting teachers.
author2 Tokyo University of Agriculture and Technology
author_facet Tokyo University of Agriculture and Technology
Kousuke Mouri
Atsushi Shimada
Chengjiu Yin
Uosaki Noriko
Vachirawit Tengchaisri
Keiichi Kaneko
format Conference or Workshop Item
author Kousuke Mouri
Atsushi Shimada
Chengjiu Yin
Uosaki Noriko
Vachirawit Tengchaisri
Keiichi Kaneko
author_sort Kousuke Mouri
title Real-time analysis of digital textbooks: What keywords make lecture difficult?
title_short Real-time analysis of digital textbooks: What keywords make lecture difficult?
title_full Real-time analysis of digital textbooks: What keywords make lecture difficult?
title_fullStr Real-time analysis of digital textbooks: What keywords make lecture difficult?
title_full_unstemmed Real-time analysis of digital textbooks: What keywords make lecture difficult?
title_sort real-time analysis of digital textbooks: what keywords make lecture difficult?
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/42377
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