Student Retention Strategy

Texas A&M University is seeking a vendor to evaluate the university's current student success data and develop a phased approach to assist with a Student Retention Model. The selected vendor will design, develop, and implement a student retention platform that leverages integrated data, AI-powered predictions, and automated outreach scheduling to elevate student support and timely interventions across the institution. The platform will utilize data from various sources, including student information, financial aid, advising services, and other platforms where students engage and create data points. The vendor will provide a dashboard or interface that provides relevant details for every outreach, supporting personalized, high-quality conversations. Some key features of the platform include: • Utilizing data from student information, financial aid, advising services, and/or any platform where a student touches to engage and create data points • Creating and displaying all behavioral data in a comprehensive manner for each student, that becomes real-time, holistic behavioral records for each student that is accessible to authorized Texas A&M staff • Using AI capabilities to identify risk signals related to academic disengagement, financial strain, and social isolation • Providing real-time risk alerts to allow Texas A&M staff to provide intervention for students at risk • Allowing Texas A&M staff to record communications and outcomes of interventions, which will feed back into the AI model for continual improvement of the solution