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Using Data Analytics to Foster the Instructional Quality of Online Education
Abstract
The growth of online learning has spurred interest in how administrators can (and should) utilize data to drive teaching evaluations, decision-making and program oversight. Within the realm of higher education administration, online learning programs offer a distinct advantage over their campus-based counterparts: tangible artifacts. The reality of online teaching and learning is that every interaction creates a digital footprint of the teaching-learning dynamic. While researchers have actively explored how the data from these digital footprints can be used to enhance student learning, less attention has been given to how administrators can utilize data analytics to foster the instructional quality of online education. Beyond learning analytics, teaching analytics provide valuable insights that allow administrators to efficiently evaluate the quality of online teaching, proactively support faculty, and make informed program oversight decisions to maximize the online learning experience.
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