Visual Analysis of the Time Management of Learning Multiple Courses in Online Learning Environment

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Self-paced online learning not only provides the opportunities of learning anytime but also chanllenges students' time management, especially in the context of learning multiple courses at same time. The inappropriate scheduling of multiple courses may affect student engagement and learning performance, thus how to arrange the study time of multiple courses is a concern of both instructors and students. Existing studies related to student engagement and time management in online learning mainly focus on providing self-regulated learning strategies and evaluating learning performance. However, these methods have limited abilities to gain intuitive understanding of the time management of multi-course learning. To address this issue, we present LearnerVis to help users analyze how students schedule their multi-course learning. LearnerVis visualize the temporal features of learning process, and it enables users to customize student groups to compare the differences in student engagement and time management. A case study is conducted to demonstrate the usefulness of the system with real-word dataset.

Original languageEnglish
Title of host publication2019 IEEE Visualization Conference, VIS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages56-60
Number of pages5
ISBN (Electronic)9781728149417
DOIs
StatePublished - Oct 2019
Event2019 IEEE Visualization Conference, VIS 2019 - Vancouver, Canada
Duration: 20 Oct 201925 Oct 2019

Publication series

Name2019 IEEE Visualization Conference, VIS 2019

Conference

Conference2019 IEEE Visualization Conference, VIS 2019
Country/TerritoryCanada
CityVancouver
Period20/10/1925/10/19

Keywords

  • E-learning
  • Human-centered computing
  • Visual analytics; Applied computing
  • Visualization

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