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 October 20, 2018 from https://www.learntechlib.org/primary/p/182518/.
© 2018 Association for the Advancement of Computing in Education (AACE)
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