Design of a Learning Dashboard in "Self-Regulator" to Support Planning for Distributed Online Learning PROCEEDING
Yoshiko Goda, Kumamoto University, Japan ; Takeshi Matsuda, Tokyo Metropolitan University, Japan ; Masanori Yamada, Kyushu University, Japan ; Hiroshi Kato, Open Univ. of Japan, Japan ; Yutaka Saito, Fuji Electric Global, Japan ; Hiroyuki Miyagawa, Aoyama Gakuin University, Japan
Society for Information Technology & Teacher Education International Conference, in Washington, D.C., United States ISBN 978-1-939797-32-2 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
“Self-Regulator” is a system embedded in a learning management system (LMS) to support students' regulation of online learning focusing on the forethought phase in the self-regulated learning (SRL) academic cycle. Previous research indicates that, through its careful instructional design, Self-Regulator is effective in assisting students' planning before actual learning and in reducing procrastination behavior. The purpose of this research is to present a new function, a learning dashboard, in order to improve Self-Regulator and thus foster students' effective planning for learning regulation based on the learning regulation theories of SRL and co-regulation of learning (CoRL).
Goda, Y., Matsuda, T., Yamada, M., Kato, H., Saito, Y. & Miyagawa, H. (2018). Design of a Learning Dashboard in "Self-Regulator" to Support Planning for Distributed Online Learning. In E. Langran & J. Borup (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 159-161). Washington, D.C., United States: Association for the Advancement of Computing in Education (AACE). Retrieved November 16, 2018 from https://www.learntechlib.org/primary/p/182518/.
© 2018 Association for the Advancement of Computing in Education (AACE)
- Goda, Y., Yamada, M., Matsuda, T., Saito, Y., Kato, H. & Miyagawa, H. (2015). Procrastination and other learning behavioral types in e-learning and their relationship with learning outcomes. Learning and Individual Difference, 37, 72-80
- Hadwin A.F., Järvelä S., Miller M. (2011). “Self-regulated, co-regulated, and socially shared regulation of learning,” in Handbook of Self-Regulation of Learning and Performance eds Zimmerman B.J., Schunk D.H., editors. (New York, NY: Routledge;) 65–84.
- Klingsieck, K.B., Fries, S., Horz, C., & Hofer, M. (2012). Procrastination in a distance university setting. Distance Education, 33(3), 295-310.
- Matsuda, T., Yamada, M., Goda, Y., Kato, H. & Miyagawa, H. (2017). Development of “Self-Regulator” that promotes learners to establish planning habit and its formative evaluation. Japan Journal of Education Technology, 40(Suppl.), 137-140
- Schouwenburg, H.C., Lay, C., Pychyl, T.A., & Ferrari, J.R. (2004). Counseling the procrastinator in academic settings. Washington, D.C.: American Psychological Association.
- Yamada, M., Goda, Y., Matsuda, T., Saito, Y., Kato, H., & Miyagawa, H. (2017). Self-Regulator: Preliminary research of the effects of supporting time management on learning behaviors. Proceedings of The 17th IEEE International Conference on Advanced Learning Technologies (ICALT 2017), 370372.
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