This session will show how Pima Community College has aggressively used section attributes and demographic features to target interventions and improve their GELO outcomes. This college uses data already collected in their data warehouse and attaches it to different kinds of sections and students in order to track their progress in general education. Using the results of that data, they work with faculty, and co-curricular areas to draft improvement plans.
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