Driving Student Success
Through Data and AI
How Predictive Models Help Guide Students from Enrollment to Graduation and Beyond
CFEED’s machine learning models transform complex student data into clear, actionable insights across the K-12 to higher education continuum.
By partnering with institutions, we identify patterns in student progression, detect early indicators of risk, and uncover opportunities to improve outcomes at every stage of the journey.
From post-secondary readiness to transfer success and shock events, our models equip educators and leaders with the tools to make informed, timely decisions that support student achievement.
Latest Insights
The path to college readiness is brighter with CFEED’s research involving Taking High School Courses in Middle School, Advanced Rigor in Core Curriculum Classes, Passing Advanced Placement Exams & Earning College Credits Through Dual Enrollment.
Learn how selecting the right courses promotes positive student outcomes, sustains academic momentum, and keeps students on track when transferring. These insights serve as a key to unlocking the tools and strategies needed to thrive when transferring from Valencia to UCF.
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