Improving student success starts with the right data.
Behavioral Risk Factors
Changing the Student Success Dialogue
For years, the focus of the student success conversation has been around the student groups that are “at-risk”. Before they even arrive on campus, dozens of student groups receive labels and prescriptions based on factors that are completely out of their control. First-generation students, financial aid students and students with lower test scores are often among the students we focus on.
But are all of these students really “at-risk”? Of course not. In fact many of these students will be the future leaders of their class.
We believe a student’s actions should speak louder than their background and personalized support needs to be more focused than grouping large portions of the incoming class into demographic buckets.
To do so, our team focuses on student behaviors as the primary factors in prescriptive student advising and programming. Behaviors like class attendance and co-curricular engagement are the keys to providing personalized support to every student, and making sure that no student is left behind.
Measure attendance for every class and every student, with more accuracy than manual methods, using the wireless data your university is already capturing.
Identify the top risk factors for student groups, which programs have the biggest impact on student success, how the campus is utilized, and more using de-identified data.
Proactively identify students that need support, analyze campus engagement and programs, and integrate with any CRM or case management system.