An Examination of Faculty and Student Online Activity in Moodle

As institutions identify data driven initiatives to support online student performance and persistence, the Learning Management System (LMS) has the potential to reveal relationships within the data. This study attempted to demonstrate, through data mining techniques and survey results, predictive relationships between LMS activity and student performance. While additional work remains, the LMS activity and performance variables can be identified as potential starting points for institutions.

Autorentext

Dr. Randy Stamm is the eLearning Coordinator for Idaho State University (ISU) with over 20 years of experience. He currently leads a team of instructional technologists with the main purpose of supporting faculty design online courses. Dr. Stamm championed the evaluation and implementation of ISU s learning management system (Moodle ISU).