Retention Conference Going the Extra Mile: Data-Driven, Student-Focused Retention Strategies That Work Uday Sukhatme - June 16, 2017 Data Predictive analytics – identify at-risk students Targeted interventions - assessment

Data – past and present Analysis of past data and behavior to predict future outcomes and improve them Predictive analytics : One output variable y , for example, attrition probability Many input variables x1, x2, x3, … , for example, HSGPA, SAT, Pace GPA, early alerts, EFC, class attendance, Pace aid, federal aid, honors, veteran, international, events, legacy, homework, social events, campus-home distance,…) Need complete, reliable data as a function of time Crystal balls … predict the future !!!

Predictive analytics - identify at-risk students APPLICATIONS AND STRATEGIES 1 Academic, financial, social/other input variables + Output attrition flag (from previous years) Regression analysis determines constants Ci – model is now fixed Use model to compute attrition probabilities – “scoring” Regression analysis contains a linear combination of input variables C0 + C1*x1 + C2*x2 + C3*x3 + ….. to make a “best fit” to the output variable y Constants Ci give relative importance of various input variables Scoring breakdown by student helps identify the areas where students need help Targeted interventions optimize limited resources

Targeted interventions - assessment Some Pace activities: Timely advising - advisor training, development, support Pace Path – www.pace.edu/pace-path - 4-year plans, alumni mentoring, RISE activities Pre-matriculation - developmental math, cultural immersion, financial counselors Improved orientation course, embedded tutoring, learning communities, late start courses, technology, Starfish, first year interest groups, Women’s Empowerment Network, … Pace initiatives are described in the Retention Initiatives Progress Report, compiled by the Division of Student Success – www.pace.edu/student-success-new/about-us Identify, engage, challenge, plan, help, assess Student success