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ASEE-SE Annual Conference 2022

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Final Paper
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Predictive Capacity of Learning Management System Student Access Data Regarding Course Performance

Most colleges and universities have adopted online learning management systems (LMS) to manage student-facing course content. During the COVID-19 pandemic when in-person instruction was significantly hindered (Spring 2019-Spring 2021), LMS became the center of learning. As schools return to in-person instruction, LMS remain a viable tool in education, complementing in-person instruction. However, beyond assisting in content management and dissemination, most LMS offer student interaction and view data to course instructors. The objective of this Work-in-Progress study is to assess the predictive capacity of such data for students’ overall course performance and how analysis may inform future course design.

Stephanie Laughton
The Citadel
United States

Simon Ghanat
The Citadel
United States


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