A week doesn’t go by that I don’t have a substantive conversation with a partner or colleague about transfer students. The topics on the subject vary from:
Enrolling transfer students is a timely strategic conversation due to the implications of COVID-19 on UG enrollment, as well as the demographic changes we will experience this decade, and the relaxing of 'rules' related to recruiting students who intend to or have enrolled at other institutions."
This is a complicated topic and varies by institution, and many are re-thinking their transfer student strategies. Both on the offensive, recruiting transfer students to their institutions, and on the defensive, student retention and guarding against students leaving for a different school.
It is in these complex situations where Artificial Intelligence (AI) shines. AI taxes many different variables and scenarios, simplifies them, and provides a roadmap for you to follow to achieve your goals. Note that the human side of the equation is important. AI provides the map, but without the tour guide, you’ll miss many of the nuances and fun facts along the journey.
The starting point for using AI is data. What data do you ask? For transfer students, that data includes students who have transferred into the school over the past couple of years and how they performed at the institution (i.e., did they persist, graduate (and in how many years), GPA, etc.). We’ve spent considerable time designing data maps and integration tools that make adopting an AI solution easier than you think, and we can help you do it.
Here are a few quick examples of how an AI platform like the Othot Platform solves for some of the topics listed above.
Two concepts to consider:
This is the type of powerful knowledge gained when you use AI to help you develop an effective transfer enrollment strategy. I used the word “fit” several times because, at the end of the analysis, that is the most important aspect of AI. The Platform is looking for “fit” with the student - that’s what drives the likelihood to enroll and the likelihood to succeed. And in the end, that’s what’s most important – that the student finds their best-fit school and is successful.
If you’d like to learn more or discuss the types of data you need to get started with an AI solution, contact us. We’d love to help.
By Andy Hannah | July 16, 2020