Personalizing learning paths for 200,000+ students
We built an adaptive learning engine that adjusts content difficulty and pacing per student in real time, improving completion rates platform-wide.
31%
Higher course completion rate
24%
Improvement in assessment scores
200K+
Students served on the platform
Class performance — Period 3
Mastery by unit
Practice — Linear equations
Question 7 of 10
Solve for x: 3x − 4 = 20
The challenge
The client's course content followed a fixed sequence regardless of individual student performance, leading to disengagement among both struggling and advanced students. Teachers had limited visibility into where individual students were getting stuck.
Our solution
We built an adaptive learning engine that models each student's mastery in real time and dynamically adjusts content difficulty, pacing, and remediation. A teacher-facing analytics dashboard surfaces at-risk students automatically, and the recommendation model retrains on aggregated performance data weekly.
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