Design of learning analytics dashboard supporting metacognition

Li Chen, Min Lu, Yoshiko Goda, Masanori Yamada

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

14 Citations (Scopus)

Abstract

Metacognition is an aspect in self-regulated learning and is necessary to achieve such learning in an effective and efficient manner. However, it is not always easy and accurate for learners to monitor or assess their own metacognition. In this study, we designed a learning analytics dashboard to improve self-regulated learning in online environments through the collection and analysis of learning log data. There are two separate dashboards used in our system: a knowledge monitoring dashboard and a strategy use dashboard. The knowledge monitoring dashboard is designed to support the knowledge monitoring skills of learners, allowing them to monitor their prior knowledge, whereas the strategy use dashboard is designed to help learners develop metacognitive skills of planning, monitoring, and regulation.

Original languageEnglish
Title of host publication16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019
PublisherIADIS Press
Pages175-182
Number of pages8
ISBN (Electronic)9789898533937
Publication statusPublished - Jan 1 2019
Event16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019 - Cagliari, Italy
Duration: Nov 7 2019Nov 9 2019

Publication series

Name16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019

Conference

Conference16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019
Country/TerritoryItaly
CityCagliari
Period11/7/1911/9/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Education

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