Student Curriculum Analytics provides the critical information required to analyze, support, communicate and plan a university curriculum effectively. The insight provided by this analysis can help different departments focus on the courses that require more attention, understand their student's enrollments patterns, and evaluate instructional staffing requirements.
Student enrollments change over a period of a course mainly due to students cancelling or dropping out of the courses. It is important to store the history of metrics for every snapshot period. The commonly used snapshot periods are Census, End of Term, and Weekly.
The historical trends of student enrollments also helps the departments to understand and make adjustments to the enrollment limits for the courses they offer. For example, by looking at the cancellations or rejected student count, the departments can plan their Waitlist Limit for next term to accommodate more students.
Some of the metrics are related to an Instructor and help understand the teaching workload. It is common for an Instructor to teach courses outside his home department or in other words we can say that a course is taught by an Instructors coming from different departments other than the department that listed the course. Hence it also becomes important to prorate the credit for teaching a class amongst different Instructors to fully understand their workload. This teaching credit is commonly prorated among the Instructors on the basis of their number of Teaching Hours per week.
Similar techniques are applied to prorating the Student Enrollments and Student Credit Hours to departments that listed the course and Pay departments of Instructors that are teaching the courses.
These key metrics helps the University to more accurately plan for and prevent any bottlenecks in student enrollment process.
Manohar Rana is a Consultant at KPI Partners. He is a reporting an analytics specialist whose areas of professional focus includes Higher Educattion, Oracle Business Intelligence Enterprise Edition and the Oracle BI Applications. Visit Manohar's blog at at KPIPartners.com. |