論文

2021年6月

Analysis of self-directed learning ability, reading outcomes, and personalized planning behavior for self-directed extensive reading

INTERACTIVE LEARNING ENVIRONMENTS
  • Huiyong Li
  • ,
  • Rwitajit Majumdar
  • ,
  • Mei-Rong Alice Chen
  • ,
  • Yuanyuan Yang
  • ,
  • Hiroaki Ogata

記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1080/10494820.2021.1937660
出版者・発行元
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD

Self-directed learning (SDL) ability, its usefulness in higher education and life-long learning have been highlighted in previous literature. However, there has been much less understanding of the effects of SDL ability in the school settings, specifically the effects on learners' SDL behaviors and processes. To address this limitation, this study investigated the relations between SDL ability, SDL behaviors, and reading outcomes and further explored the process of planning behaviors in SDL. This study examined the context of SDL for extensive reading using a goal-oriented active learning system, GOAL. The results showed that the high SDL ability students demonstrated significantly more reading outcomes in terms of books completed and the number of days read than those with low SDL ability. The high SDL ability students engaged significantly more in planning behaviors, that were found to be significantly correlated with reading outcomes, than the low SDL ability students. Cluster analysis and transition analysis also differentiate groups of learners with different planning behaviors. These findings suggested that the learning behaviors and outcomes facilitated by the environment were affected to varying degrees by the levels of students' SDL ability, and personalized feedback can be created using the SDL behavioral variables and patterns in the environment.

リンク情報
DOI
https://doi.org/10.1080/10494820.2021.1937660
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000658923600001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1080/10494820.2021.1937660
  • ISSN : 1049-4820
  • eISSN : 1744-5191
  • Web of Science ID : WOS:000658923600001

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