CourseNav

This tool would suggest possible course pathways based on combinations of courses taken by students in years past, perceived success by students in the class, and prerequisite knowledge.

 

Students come into the business school with vastly differing backgrounds and career goals. The plethora of options offer students a chance to develop a wide range of skills but can leave some students lacking a sense of direction. Our goal is to develop and evaluate a prototype intelligent and interactive course recommendation tool for use by students, faculty, and staff that shows common course selection trends, course combinations, and enrollment sequences. This tool will help students tailor an academic program to their specific interests and goals.

Our Client

the Ross School of Business at the University of Michigan.

The project

is based on research done by Professor Lada Adamic and Professor Mick McQuaid.