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Description

This episode of the Generation AI podcast delves into the evolution and application of predictive AI within higher education, focusing on enrollment predictions and marketing. Hosts Ardis Kadiu and Dr. JC Bonilla explore machine learning's roots, its distinction from generative AI, and its critical role in modeling prospective student behaviors. They discuss the transition from demographic to behavioral data for more accurate predictions, the importance of model tuning and validation, and the future of AI in personalizing student engagement through autonomous agents. The conversation highlights the blend of art and science in feature selection and the significance of adopting models that are understood and trusted by users.

Introduction to Predictive AI

Machine Learning Basics

Model Building and Validation

Behavioral Data in Predictive Models
Shift towards using behavioral data for more nuanced and accurate predictions.
How behavioral data surpasses demographic data in predicting student behaviors and interests.

Feature Engineering and Selection

Model Adoption and Interpretation

Future of Predictive AI in Higher Education

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Connect With Our Co-Hosts:
Ardis Kadiu
https://www.linkedin.com/in/ardis/
https://twitter.com/ardis

Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/
https://twitter.com/jbonillx

About The Enrollify Podcast Network:
Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! 

Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com

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