Design of the time management skills acquisition system using learning analytics

Hiroyuki Watanabe, Li Chen, Xuewang Geng, Yoshiko Goda, Atsushi Shimada

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

Abstract

Learning skills include abilities, habits, understanding, and attitudes which are utilized to achieve learning. Students will not achieve good grades unless they properly manage their limited study time. However, it is not easy for them to organize their own study time and learn how to use it efficiently. Notably, learning analytics has not been used in previous research for time management. Learning analytics provides students with accurate data that they can use to manage their study time. Therefore, in this study, we designed a system based on a learning analytics approach with functions that allow students to make their own learning schedules and reflect on their learning behaviors. The system has visualization, calendars, and reflection functions, which are used by both students and their instructors.

Original languageEnglish
Title of host publication17th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2020
PublisherIADIS Press
Pages67-73
Number of pages7
ISBN (Electronic)9789898704221
Publication statusPublished - 2020
Event17th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2020 - Lisbon, Virtual, Portugal
Duration: Nov 18 2020Nov 20 2020

Publication series

Name17th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2020

Conference

Conference17th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2020
CountryPortugal
CityLisbon, Virtual
Period11/18/2011/20/20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Education

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