Self-Regulator: Preliminary Research of the Effects of Supporting Time Management on Learning Behaviors

Masanori Yamada, Yoshiko Goda, Takeshi Matsuda, Yutaka Saito, Hiroshi Kato, Hiroyuki Miyagawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This preliminary research investigates the effects of self-regulated learning support using the system 'Self-regulator (SR),' and relationships between self-regulated learning awareness, learning behaviors, and perceived effects of SR. The results showed that the course with SR promoted 'meet the deadline' awareness. The results of Spearman's correlation analysis revealed that procrastination awareness for high performance is one of the key factors for time management, which is an important factor of self-regulated learning.

Original languageEnglish
Title of host publicationProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
EditorsRonghuai Huang, Radu Vasiu, Kinshuk, Demetrios G Sampson, Nian-Shing Chen, Maiga Chang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages370-372
Number of pages3
ISBN (Electronic)9781538638705
DOIs
Publication statusPublished - Aug 3 2017
Event17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017 - Timisoara, Romania
Duration: Jul 3 2017Jul 7 2017

Publication series

NameProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017

Conference

Conference17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017
Country/TerritoryRomania
CityTimisoara
Period7/3/177/7/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Education

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