Publication: Real-time analysis of digital textbooks: What keywords make lecture difficult?
Issued Date
2017-01-01
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2-s2.0-85053910478
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Mahidol University
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SCOPUS
Bibliographic Citation
Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings. (2017), 733-735
Suggested Citation
Kousuke Mouri, Atsushi Shimada, Chengjiu Yin, Uosaki Noriko, Vachirawit Tengchaisri, Keiichi Kaneko Real-time analysis of digital textbooks: What keywords make lecture difficult?. Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings. (2017), 733-735. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/42377
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Title
Real-time analysis of digital textbooks: What keywords make lecture difficult?
Abstract
© 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.