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Student Success Analytics

What we do

Student Success Analytics, a partnership between the Office of Undergraduate Education and the Office of Information Technology, provides predictive modeling techniques that enable us to convert existing student data into meaningful, actionable insights to proactively support our students and their success. It is also an easy-to-use source of data from the CU Boulder student information system and Canvas.

This service is built upon Civitas Learning’s institution-specific models that quantify the likelihood of student persistence - both individually and across student groups. These models power a suite of tools that allow users to investigate persistence from a variety of perspectives, providing answers to questions including: 

  • Which students should be prioritized for a student success intervention?
  • How do specific factors differentially impact persistence for various subpopulations of CU Boulder students? 
  • Which initiatives on campus help increase student persistence? 
  • How are graduation and retention rates correlated with individual courses? 

We partner with student success professionals across campus and direct campus-wide student success initiatives. We are familiar with campus data and have connections with our colleagues in the Office of Data Analytics, as well as other campus data providers. As such, we are often able to incorporate data from other campus systems in our work or direct our partners to the department or system with data to answer their questions.

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