Online Course Design: Incorporating Data Analytics for Improved Course Delivery

ID: 50927 Type: Brief Paper
  1. David White, Mark Dame, and Parviz Safadel, Texas Tech University, United States

Monday, March 6 3:00-3:20 PM Location: Capitol H View on map

Presider: Michelle Bartlett, North Carolina State University, United States

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.

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