This session will examine how retention in an affordable, at-scale online degree program is affected by three categories of variables: the profile of students prior to entering the program, the decisions students make upon entering the program, and the results of students' initial term in the program.
Prior research has found that in affordable at-scale online degrees, more than half of students who enroll and subsequently drop-out do so very early in the program, before completing even two classes. As such, understanding what predicts early-program retention can have significant value to admissions decisions, preparation recommendations, and early-program curricular interventions. To explore the question of what predicts early-program retention, we draw from a dataset of 43,250 students across 311,407 individual class enrollments. We explore three categories of variables that may help predict students' likelihood to return for a second semester: the profile of students prior to entering the program, the decisions students make upon entering the program, and the results of students' initial term in the program. For some of these variables, we further examine whether the predictive power of the variable has altered over time, noting that the COVID-19 pandemic drove greater overall awareness of online education and thus may have dramatically altered some of these relationships. We find that there are statistically significant effects of most variables, including age, citizenship, country of residency, and early-program decisions, but most have small effect sizes; first-term performance, however, has a large impact on likelihood to persist to a second semester.
Alex holds a B.S. in Mechanical Engineering from UT Austin and an M.S. in Human-Computer Interaction from Georgia Tech. Before starting his current position in 2018, he worked at the Georgia Tech Research Institute (GTRI); prior to that, he worked in industry, including positions with Home Depot, Boeing, Epic Systems (nope, not the videogame company), and ConocoPhillips.
Joyner has received several awards for his work in teaching online, including the 2023 Georgia Tech Outstanding Professional Education Award, the 2022 College of Computing Outstanding Faculty Leadership Award, the 2019 USG Regents' Teaching Excellence Award for Online Teaching, the 2018 Georgia Tech Center for Teaching & Learning Curriculum Innovation Award, and the 2016 Georgia Tech College of Computing Lockheed Excellence in Teaching Award. He was also named to the Georgia Tech Alumni Association's 40 Under 40 in 2022.
Profile, Path, Performance: Predictors of Early-Program Retention in an Online At-Scale Graduate Degree
Track
Learner Success, Engagement, and Empowerment
Description
11/19/2025 | 1:00 PM - 1:45 PMEvaluate Session
Location: Atlantic Exhibit Hall - Atlantic A - Discovery Session Zone Position 12
Track: Learner Success, Engagement, and Empowerment
Session Type: Discovery Session (Short conversations with multiple attendees over 45 min)
Institution Level: Higher Ed
Audience Level: All
Intended Audience: All Attendees
Special Session Designation: Global Education
Session Resource
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