Decrease the university dropout rate using artificial intelligence. From the integration of information from different sources we create a unique profile per student based on which it is possible to generate models of artificial intelligence that calculate the probability of a student's desertion at a specific time. With this analytical input, universities can design early retention strategies to decrease their dropout rate.
What is it?
Retention solution that provides early alerts related to persistence on a one-to-one basis.
How does it work?
- Risk: Performance, course-taking patterns, financial, profile and academic behaviors are analyzed though an Artificial Intelligence engine to continually evaluate risks for each student, whether that is dropping out or performing poorly. The analyses and intelligence, made possible through the integration of AI and machine learning, make Foresight the right choice for institutions striving to optimize student success.
- Engage: Leveraging information from data points such as activity, engagement, and persistence, we create an index that allows faculty and administrators to gain insight into each student’s level of commitment. Information that is surfaced in this phase helps differentiate those students who are struggling but truly committed from those who may be less receptive to interventions. Through this approach to segmentation, faculty and advisors can dedicate the most time and resources to those students who will likely benefit from additional support.
- Success: A module that allows for the development of unique student personas. Using AI, we create an x-ray of each student’s personality to help understand the potential level of success within the institution, programs of study, and individual courses.
By implementing this solution, you will get an impact of 3-5% points on retention. So you would not reduce the incomes by avoiding this percentage of desertions.