Examining instructor use of learning analytics

Suzanne L. Dazo, Nicholas R. Stepanek, Aarjav Chauhan, Brian Dorn

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

7 Scopus citations


This study takes an instructor-centric approach to Learning Analytic (LA) research by analyzing instructor use of the LA within an educational streaming video platform called TrACE. The goal of this study is to understand how instructors naturally interact with analytic dashboards through an empirical analysis. To accomplish this, data of 14 instructors from three institutions that used TrACE from Spring 2015 to Spring 2016 was collected. Data was analyzed to identify frequency of analytic visits, duration of analytic use, differences in analytic use, and differences in use between semesters. Instructors demonstrated preferences for some analytics over others, but the majority of teachers generate short sessions that may not allow for in-depth exploration in analytics. Finally, instructor activity is not always consistent between semesters. Focus groups were conducted to explore motivations behind these findings and future work includes developing LA that address discovered issues.

Original languageEnglish (US)
Title of host publicationCHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Number of pages7
ISBN (Electronic)9781450346566
StatePublished - May 6 2017
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States
Duration: May 6 2017May 11 2017

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
VolumePart F127655


Conference2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
Country/TerritoryUnited States


  • Analytics usage trends
  • Instructor support

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design


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