Educational dashboards for smart learning: Review of case studies

Yesom Yoo, Hyeyun Lee, Il Hyun Jo, Yeonjeong Park

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

An educational dashboard is a display which visualizes the results of educational data mining in a useful way. Educational data mining and visualization techniques allow teachers and students to monitor and reflect on their online teaching and learning behavior patterns. Previous literature has included such information in the dashboard to support students’ self-knowledge, self-evaluation, self-motivation, and social awareness. Further, educational dashboards are expected to support the smart learning environment, in the perspective that students receive personalized and automatically-generated information on a real-time base, by use of the log files in the Learning Management System (LMS). In this study, we reviewed ten case studies that deal with development and evaluation of such a tool, for supporting students and teachers through educational data mining techniques and visualization technologies. In the present study, a conceptual framework based on Few’s principles of dashboard design and Kirkpatrick’s fourlevel evaluation model was developed to review educational dashboards. Ultimately, this study is expected to evaluate the current state of educational dashboard development and suggest an evaluative tool to judge whether or not the dashboard function is working properly, in both a pedagogical and visual way.

Original languageEnglish
Pages (from-to)145-155
Number of pages11
JournalLecture Notes in Educational Technology
Issue number9783662441879
DOIs
StatePublished - 2015

Keywords

  • Dashboard
  • Educational data mining
  • Evaluation criteria
  • Smart learning

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