Angus, Geoffrey and Martinez, Richard Diehl and Stevens, Mitchell and Paepcke, Andreas (2019) Via: Illuminating Undergraduate Academic Pathways at Scale. Technical Report. Stanford InfoLab. (Publication Note: Submitted for publication)
The processes through which course selections accumulate into college pathways in US higher education is poorly instrumented for observation at scale. We offer an analytic toolkit, called Via, which transforms commonly available enrollment data into formal graphs that are amenable to interactive visualizations and computational exploration. The tool is intended for a variety of stakeholders: college students, instructors, and administrators. We explain the procedures required to project the enrollment records onto graphs, and then demonstrate the toolkit utilizing eighteen years of enrollment data at a large private research university. We show that resulting findings complement prior research on higher education.
|Item Type:||Techreport (Technical Report)|
|Deposited By:||Andreas Paepcke|
|Deposited On:||18 Feb 2019 13:34|
|Last Modified:||18 Feb 2019 13:34|
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