Painting a Predictive Portrait: Machine Learning for Student Intervention

Session Abstract: At Ivy Tech Community College, we have been utilizing predictive metrics on student data for over 10 years, but the former algorithm was complex to maintain and was not considered accurate or useful enough for widespread adoption by the business. In this context, we took on the task of revitalizing our predictive infrastructure to provide new inspiration to the business, leveraging Canvas Data and an AutoML system to create customized course predictions with extremely high accuracy, and creating a dashboard that presented comprehensive student information tailored to interventions. We hope to share lessons learned about the creation of strong predictive metrics that emphasize behavioral data over demographic data, and encourage those working on low-resource IR teams, such as in community colleges, how AutoML tools can simplify predictive analysis and create an architecture for rapid prototyping and deployment.

Keywords: Student Success, Faculty, Predictive Analytics, Machine Learning, Salesforce CRM Analytics,Snowflake