EduLearn
Adaptive learning platform with personalized content paths.
EduLearn Global
8 months
2023
Full-stack development, ML pipeline, content system
Overview
An AI-powered education platform that continuously adapts lesson sequencing, difficulty, and format to each learner's performance profile — dramatically improving completion rates and knowledge retention.
The Challenge
A one-size-fits-all curriculum left 60% of learners either under-challenged or overwhelmed. Course completion hovered at 22% and learner satisfaction scores were declining despite new content investments.
Our Solution
We built an adaptive engine using spaced repetition and item response theory to model each learner's mastery level in real time. Content paths are re-sequenced after every session. A React-based authoring tool lets educators create adaptive content without engineering help.
Gallery
Results
22% → 71%
Course completion rate
+44%
Knowledge retention
50,000+
Active learners
72
Educator NPS
Tech Stack
How We Did It
Learner Research
Analysed 2 years of engagement data and interviewed 30 learners to understand exactly where and why drop-off occurred.
Adaptive Engine Design
Designed the IRT-based mastery model and spaced repetition scheduler before writing a single line of product UI.
Content Authoring Tool
Built the educator-facing authoring system in parallel so content could be tagged and structured for the adaptive engine.
Beta & Iteration
Ran a closed beta with 2,000 learners for 6 weeks, tuning model weights before the full 50k-learner launch.
More Work
