Need to identify at-risk students faster?
Scantron’s highly visual Early Warning System in Scantron Analytics quickly summarizes trends in your at-risk student population, while also enabling you to focus on individual students. Based on research studies into at-risk students, Scantron combines ten indicators in our Early Warning System, including attendance rates, behavior incidents, and course performance (commonly referred to as the ABCs of early warning). All of this data are tracked by marking period so you can identify and respond to issues as they occur.
Scantron’s Early Warning System presents these indicators as part of an interactive dashboard, so you can drill down to individual students and determine suitable interventions to prevent dropouts based on real data—fast. Our system is configurable, so you can add the indicators and threshold values you have found to be most reliable. You can also configure the definitions of “At-Risk” and “On Track” based on your specific needs.