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This paper provides an overview of students behavior analysis on a learningmanagement system (LMS), Blackboard (Bb) Learn for a core data communicationscourse of the Undergraduate IT program in the Information Sciences andTechnology (IST) Department at George Mason University (GMU). This study is anattempt to understand the navigational behavior of students on Blackboard Learnwhich can be further attributed to the overall performance of the students. Intotal, 160 undergraduate students participated in the study. Vast amount ofstudents activities data across all four sections of the course were collected.All sections have similar content, assessment design and instruction methods. Acorrelation analysis between the different assessment methods and various keyvariables such as total student time, total number of logins and various otherfactors were performed, to evaluate students engagement on Blackboard Learn.Our findings can help instructors to efficiently identify students strengths orweaknesses and fine-tune their courses for better student engagement andperformance.

A Novel Study of the Relation Between Students Navigational Behavior on  Blackboard and their Learning Performance in an Undergraduate Networking  Course