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.