About Curricular Analytics
Using an open-source visualization tool, academic programs can reduce unnecessary
complexity in curriculum while maintaining academic rigor.
Factors to consider include:
- Delay Factor: long chains in the curriculum that must be completed in sequential order.
- Blocking Factor: gateway courses(s), the number of courses a student is prevented from taking until
the gateway class is passed.
- Centrality: bottleneck course(s), many prereqs, and after passing, unblocks many discipline-specific
The complexity score of the curriculum is based off the total of each course’s blocking
and delay factors. Curricular Analytics provides a way for users to analyze data in
a visualization tool for unnecessary complexity, while also providing peer institutions’
data for comparison.
curricular analytics terminology