Identifying At-Risk Students: What Data Are You Looking At?
Renewed national and public pressure on college completion rates is fueling a continuing surge of interest in “early warning” intervention programs for college students deemed at risk of withdrawal or failing. The earlier an academically at-risk student is identified, the better the prognosis for their success in college. Early alert systems, implemented within the first 4-8 weeks of a term, can be instrumental in beginning an intervention that can help facilitate students’ success and increase retention. However, faced with frequent studies offering multitudinous data on factors influencing student attrition, it can be challenging to sort through the information available to determine what indicators deserve most attention, both to proactively identify students who may be at risk at a point prior to enrollment, and to drive early alert systems in the first weeks of a semester. This week, we interviewed Jennifer Jones, a clinical assistant professor and recently director of academic retention at the University of Alabama. Jones has developed a comprehensive and strategic approach to identifying at-risk students. Predictive Historical Data The past decade has yielded abundant studies citing factors that can contribute to the likelihood of student attrition. Cohorts often deemed at risk in the published research include the academically under-prepared, students who have taken a […]