Factors of the use of learning analytics dashboard that affect metacognition

Li Chen, Min Lu, Yoshiko Goda, Atsushi Shimada, Masanori Yamada

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

4 Citations (Scopus)

Abstract

In this study, we used a learning analytics dashboard (LAD) in a higher education course to support students' metacognition and evaluated the effects of its use. The LAD displays students' reading path and specific behaviors when viewing digital learning materials. The study was conducted on 53 university students to identify the factors that affected metacognition changes in terms of their awareness and behavior dimensions when using the LAD. In terms of results, first, the students' perception of visual attraction for the LAD, and behaviors related to reflection such as deleting annotations they had previously added, positively affected the changes in the knowledge of cognition dimension of metacognition. Second, students' perception of behavioral changes by using the LAD had positive effects on the regulation of cognition dimension of metacognition. However, the behaviors of using some cognitive tools, negatively affected knowledge of cognition, which indicated the necessity to provide more guidance or feedback to students.

Original languageEnglish
Title of host publication17th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2020
PublisherIADIS Press
Pages295-302
Number of pages8
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
Country/TerritoryPortugal
CityLisbon, Virtual
Period11/18/2011/20/20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Education

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