論文

2021年7月

Mining mathematics learning strategies of high and low performing students using log data

Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021
  • Jiayu Li
  • ,
  • Rwitajit Majumdar
  • ,
  • Hiroaki Ogata

開始ページ
229
終了ページ
230
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICALT52272.2021.00074
出版者・発行元
IEEE COMPUTER SOC

Self-regulation in learning involves planning and utilizing different shared resources. This study investigates learning strategies of different student groups when they are accessing course materials in digital medium - one group is the students with high academic performance, the other is the students with low academic performance. We analyze data of 116 students from a mathematics course in a junior high school. Using the differential pattern mining technique, we highlight underlying course content accessing patterns from the learning log collected by an e-book system, BookRoll.

リンク情報
DOI
https://doi.org/10.1109/ICALT52272.2021.00074
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000719352000067&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114853127&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85114853127&origin=inward
ID情報
  • DOI : 10.1109/ICALT52272.2021.00074
  • ISSN : 2161-3761
  • ISBN : 9781665441063
  • SCOPUS ID : 85114853127
  • Web of Science ID : WOS:000719352000067

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