Using Online Course Activity Data and Visualizations to Inform Online Student Support Strategies
Abstract: As fully online undergraduate programs become more pervasive in higher education, and these programs attract students with unique backgrounds and needs, academic programs continue to be challenged with how to access and make meaning of Learning Management System (LMS) data for program improvement To address this issue, this research project aims to demonstrate how one online undergraduate academic program utilized LMS derived data visualizations to inform decision-making related to supporting fully online students This case study will also explore both the process and limitations involved with retrieving LMS data and constructing meaningful dynamic visualizations
Presider: Douglass Scott, Waseda University