教育システム情報学会誌
Online ISSN : 2188-0980
Print ISSN : 1341-4135
ISSN-L : 1341-4135
解説
教育ビッグデータから有意義な情報を見いだす方法
—認知心理学の知見をベースにした行動予測—
寺澤 孝文
著者情報
ジャーナル フリー

2016 年 33 巻 2 号 p. 67-83

詳細
抄録
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.
著者関連情報
© 2016 一般社団法人教育システム情報学会
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