Predictive Modelling 101: A Statistical Primer for Enrollment Management Professionals
Day: Monday, November 15, 2021
Time: 3:00 PM - 4:00 PM
Room: Garden 1
First Learning Outcome: Entry to intermediate understanding of statistical content as applied to SEM
Second Learning Outcome: Entry to intermediate understanding of how predictive modelling impacts ones SEM efforts
Third Learning Outcome: Understand clear applications of predictive modelling to their particular institutional SEM challenges
Core Competencies: Leadership and Management, Technological Knowledge
Proficiencies: Enrollment Management: SEM Assessment, Enrollment Management: Developing Enrollment Mix
Intended Audience: Some experience in the profession, General Audience
Predictive Modelling 101: A Statistical Primer for Enrollment Management Professionals
Category
Session
Description
Growing one's institutional enrollment has never been more important. Predictive modeling as a tool for SEM managers has emerged as a way to better predict student interest in your institution. Join us as we share with attendees core principles associated with predictive modeling. This session will equip attendees with basic to intermediate knowledge associated with the application of predictive modeling in one's funnel strategies.
Presenter(s):
Randall Langston University of Central Missouri