Transactions of Japanese Society for Information and Systems in Education
Online ISSN : 2188-0980
Print ISSN : 1341-4135
ISSN-L : 1341-4135
Reviews
Method for Discovering Meaningful Information in Educational Big Data
—Behavioral Prediction Based on Cognitive Psychological Findings—
Takafumi Terasawa
Author information
JOURNAL FREE ACCESS

2016 Volume 33 Issue 2 Pages 67-83

Details
Abstract
This article describes the results of a study that reveals previously hidden facts from a large amount of behavioral data currently being collected in the educational field (educational big data) by individually excluding those factors that affect human behavior on the basis of cognitive psychological findings. Furthermore, actual cases are presented to show that the information revealed in this study can be a driving force for changing the learning behavior of individual children, and consequently solve various educational problems. In order to extract meaningful information from the big data collected from human behavior, a deep understanding of human behavior is essential. Conversely, with a deep understanding of humans, big data that are a simple mass of information could become an abundant source of information.
Content from these authors
© 2016 Japanese Society for Information and Systems in Education
Previous article Next article
feedback
Top