Course Schedule Evaluation


Hit the “pause” button and analyze how well your institution is scheduling courses, classes, and events on campus

With Ad Astra's Course Schedule Evaluation (CSE), your institution’s course and section data are extracted from the student information system. The data is then bench marked with several Higher Education Scheduling Index (HESI) industry averages. The CSE summary will be presented to each school’s leadership with a conservative opportunity analysis and return on investment model. This equips each school with business intelligence to ignite conversations around efficiency, effectiveness, and student progression.

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Benchmark your institution against the Higher Education Scheduling Index

Course Offerings
How well are your current course scheduling procedures meeting the needs of your students?
Space Management
How well is your institution utilizing space and, if no changes are made, when will you potentially run out of space?

Integrating with your core systems

Average Enrollment
Average value of the enrollment (census) per section for the term
Average Enrollment Capacity
Average value of the maximum enrollment per section for the term 
Enrollment Ratio
Overall average fill rate for course offerings calculated as census enrollment divided by
Enrollment Capacity
Balanced Course Ratio
The percentage of unique courses offered that are balanced with student need, defined as having an Enrollment Ratio between 70% and 95%
Underutilized Courses
The percentage of unique courses offered that are an inefficient use of faculty resources because they are under-filled relative to student need 
Overloaded Courses
The percentage of unique courses offered that are difficult for students to get because they are over-filled relative to student need
Seat Fill - Enrollment
The percentage of seats in use in a classroom when it's scheduled
Seat Fill - Enrollment Cap
The percentage of seats in use in a classroom when it's scheduled 
Off-Grid Utilization
The percentage of scheduling using non-standard meeting patterns during Primetime Hours

Scenario Modeling

Our Regional Vice Presidents meet with campus leadership to present and interpret the metrics as well as engage a high-level “what-if” scenario modeling exercise.