  This paper provides an overview of students behavior analysis on a learning
management system (LMS), Blackboard (Bb) Learn for a core data communications
course of the Undergraduate IT program in the Information Sciences and
Technology (IST) Department at George Mason University (GMU). This study is an
attempt to understand the navigational behavior of students on Blackboard Learn
which can be further attributed to the overall performance of the students. In
total, 160 undergraduate students participated in the study. Vast amount of
students activities data across all four sections of the course were collected.
All sections have similar content, assessment design and instruction methods. A
correlation analysis between the different assessment methods and various key
variables such as total student time, total number of logins and various other
factors were performed, to evaluate students engagement on Blackboard Learn.
Our findings can help instructors to efficiently identify students strengths or
weaknesses and fine-tune their courses for better student engagement and
performance.
