A Personalized Math Course-Taking Recommendation System for High School Students
Personalized Plan turns a fixed, one-size-fits-all math sequence into a plan tailored to each student. Grade by grade, it recommends the pathway that best supports their goals. Choose a model to begin.
One sequence for everyone leaves learning on the table
Most U.S. high-school students follow the same fixed math sequence (Algebra I, Geometry, Algebra II, then advanced courses) regardless of their prior performance, motivation, or interests. That one-size-fits-all plan ignores meaningful variation in which pathway is actually best for a given student.
Personalized course planning has stayed largely heuristic, resting on individual teacher or counselor judgment. Personalized Plan reframes course-taking as a sequence of decisions that can be tailored, grade by grade, to maximize a student's final outcome. It brings the rigor of optimal dynamic treatment regimes from precision medicine into education.
Two models, built two different ways
Both models recommend a math pathway toward one of two goals, stronger math achievement or a better chance of enrolling in college, at one of two horizons: a single Grade 9 decision or an adaptive Grade 9–12 plan. What sets them apart is how the recommendation is produced.
Rules you can read
It encodes a published expert framework as clear if-then decision rules. Every recommendation traces back to an explicit rule, so you can see exactly why a course was chosen, and the same answers always produce the same plan.
Available now.
Learned from data
It estimates the best pathway directly from a large longitudinal study using causal machine learning (TMLE), so it can pick up patterns no one wrote down in advance. It was released after IES Disclosure Risk Review.
Available now.