Educational data mining for discovering hidden browsing patterns using non-negative matrix factorization

Kousuke Mouri, Fumiya Suzuki, Atsushi Shimada, Noriko Uosaki, Chengjiu Yin, Keiichi Kaneko, Hiroaki Ogata

Research output: Contribution to journalArticle

Abstract

This paper describes a method to collect data of which section of pages learners were browsing in digital textbooks without eye-tracking technologies. In previous researches on digital textbook systems, it was difficult to collect such data without using eye-tackers. However, eye-trackers cost a massive budget. Our proposed system automatically hides the texts in the digital textbooks with mask processing before the learners browse the texts in the digital textbooks. If they click the hidden texts, the system gets rid of the masks and the texts appear letter by letter. We used NMF to discover learners’ browsing patterns from the collected logs. Evaluation experiments were conducted to examine the effectiveness of our system in terms of fascination, understandableness and enhancement of thinking and to discover learners’ browsing patterns. It was found that our method could enhance thinking skills. A browsing pattern of diligent learners with high learning achievements was also found.

Original languageEnglish
JournalInteractive Learning Environments
DOIs
Publication statusPublished - Jan 1 2019

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Textbooks
Factorization
textbook
Data mining
Masks
budget
experiment
costs
Processing
evaluation
learning
Costs
Experiments

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Science Applications

Cite this

Educational data mining for discovering hidden browsing patterns using non-negative matrix factorization. / Mouri, Kousuke; Suzuki, Fumiya; Shimada, Atsushi; Uosaki, Noriko; Yin, Chengjiu; Kaneko, Keiichi; Ogata, Hiroaki.

In: Interactive Learning Environments, 01.01.2019.

Research output: Contribution to journalArticle

Mouri, Kousuke ; Suzuki, Fumiya ; Shimada, Atsushi ; Uosaki, Noriko ; Yin, Chengjiu ; Kaneko, Keiichi ; Ogata, Hiroaki. / Educational data mining for discovering hidden browsing patterns using non-negative matrix factorization. In: Interactive Learning Environments. 2019.
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