ESTIMATING LEARNING ASSISTANCE SKILLS USING LEARNING ANALYTICS

Hiroyuki Watanabe, Yoshiko Goda, Atsushi Shimada, Masanori Yamada

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

Abstract

Learning assistance is an essential part of higher education. Tutors, the core of the assistance staff, need to have learning assistance skills. If the potential for these skills can be identified when selecting tutors, the training method will be more efficient. Also, learning assistance skills are thought to be related to learning skills. Therefore, in this paper, we used previous research to identify the relationship between learning skills and learning assistance skills to clarify this. Then, using learning analytics, we explored whether learning support skills can be determined from learning skills.

Original languageEnglish
Title of host publication18th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2021
PublisherIADIS Press
Pages197-204
Number of pages8
ISBN (Electronic)9789898704337
Publication statusPublished - 2021
Event18th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2021 - Virtual, Online
Duration: Oct 13 2021Oct 15 2021

Publication series

Name18th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2021

Conference

Conference18th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2021
CityVirtual, Online
Period10/13/2110/15/21

All Science Journal Classification (ASJC) codes

  • Education
  • Artificial Intelligence

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