Abstract
In this research we work with local educators to develop and assess predictive data dashboards that can be used to help increase student success in high school and college. Starting with longitudinal data from previous academic years, we develop predictive models that can reliably determine student archetypes. With the help of local teachers, in-school counselors, and administrators we built dashboards that leveraged current school student data to point educators towards interventions that are most pertinent to specific students.
Recommended Citation
Barczak, Timothy; Jain, Hemant; and Keith White, "Mining High School Data to Predict and Increase Student Success in College" (2020). SAIS 2020 Proceedings. 29.
https://aisel.aisnet.org/sais2020/29