Monday, March 6
3:00-3:20 PM
CST
Capitol H

Online Course Design: Incorporating Data Analytics for Improved Course Delivery

Brief Paper ID: 50927
  1. aaa
    David White
    Texas Tech University
  2. Mark Dame
    Texas Tech University
  3. aaa
    Parviz Safadel
    Texas Tech University

Abstract: Information presented in this paper describes the many factors considered through data analytics that help support the development, delivery and assessment of online course design. While course content plays an important role in determining how instructional components are delivered in an online course, many factors that provide feedback on course delivery and design should be developed and implemented through applied course logistics to provide data analytics that reveal effectiveness, satisfaction, and design measures determined by students who complete the online course. Examples of data analytic factors are provided through questionnaires, LMS tracking features, assignment performance, and system-wide observations are considered. Suggestions for designing and developing online courses that employ data analytics are presented.

Presider: Michelle Bartlett, North Carolina State University

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