MISC

2016年1月1日

Learning analytics in ubiquitous learning environments: Self-regulated learning perspective

ICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Main Conference Proceedings
  • Masanori Yamada
  • ,
  • Fumiya Okubo
  • ,
  • Misato Oi
  • ,
  • Atsushi Shimada
  • ,
  • Kentaro Kojima
  • ,
  • Hiroaki Ogata

開始ページ
306
終了ページ
314

This research aims to investigate the relationship between self-regulated learning awareness, learning behaviors, and learning performance in ubiquitous learning environments. In order to do so, psychometric data about self-regulated learning and log data such as marker, annotation, accessing device types that stored the learning management system were collected and analyzed using multiple regression analysis with stepwise method. The results indicated that self-efficacy, internal value, and the number of read slides had a significant influence on the final score, and the awareness of cognitive learning strategy use has slightly significant power to predict the final score.

リンク情報
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85019004454&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85019004454&origin=inward
ID情報
  • ISBN : 9789868473577
  • SCOPUS ID : 85019004454

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