Exploring Data Visualization as an Emerging Analytic Technique

Min Liu, Jina Kang, Pan Zilong, Wenting Zou, Hyeyeon Lee

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

Abstract

Visual analytics have emerged as a way to allow researchers to understand big data in diverse learning contexts We are interested in using visualization techniques to examine learners’ behavior patterns in an adaptive learning environment and explore the relationship between performance and behavior patterns Participants were first-year students entering into a pharmacy professional degree program As part of a large research effort, in this study we focused on high and low performing students The findings showed the visualizations confirmed some findings of the statisitical analyses and at the same time revealed the nuanced interesting findings that can be missed otherwise Combining with traditional statistical analyses with visualization techniques has provided a more detailed picture of learners’ behaviors in an adaptive learning envuronment Such research should provide useful insights about using analytics to understand how learners use an adaptive learning system
Original languageEnglish (US)
Title of host publicationProceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2017
EditorsJon Dron, Sanjaya Mishra
Place of PublicationVancouver, British Columbia, Canada
PublisherAssociation for the Advancement of Computing in Education (AACE)
Pages1681-1690
Number of pages10
StatePublished - Oct 1 2017
Externally publishedYes

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