For several years, UMBC has been making use of data-informed interventions to reduce DFW rates, support student persistence, and reduce time to graduation using predictive models based largely on LMS activity and pre-existing academic characteristics. These behavioral nudge campaigns have revealed an underlying necessity to induce academic success: The right treatment delivered to the right students at the right time.To remediate difficulties in gateway STEM courses, our Division of Information Technology (DoIT) has partnered with the university's Math department and initiated a two-tiered intervention leveraging attendance data to inform targeted outreach of students who exceed thresholds determined by an initial analysis of inflection points. Systematic nudges have been deployed through the campus student portal along with human outreach and micro-survey data gathered to identify additional areas to provide learner support.
