Adaptive Learning Platform
EdTech · K-12 Education
2024
mobile
What they needed
The platform needed one Flutter app to serve K-12 students spanning early readers to teenagers, each with a different pace and learning style, across a curriculum of 500+ topics. A single fixed sequence doesn't hold at that range — a student can be ahead in one subject and behind in another, and rigid pacing kills engagement fast. The team had to build a recommendation layer that continuously reassesses mastery per topic and reroutes content automatically. Mobile added its own constraints: the app had to stay fast and responsive across a wide range of devices, and the underlying ML pipeline had to turn usage signals into updated recommendations quickly enough to feel current as the platform scaled toward 75,000+ active students.
What we built
We built the student-facing app in Flutter for a single codebase across iOS and Android, covering all 500+ curriculum topics without maintaining separate native apps. Firebase handles auth and real-time data sync, so every activity a student completes updates their progress instantly rather than on a delay. The recommendation engine runs in Python, with TensorFlow models trained on student interaction data to score topic mastery and select the next best piece of content per student. GCP hosts training and serving infrastructure, scaling inference as active users grew. A gamification layer sits on top of the recommendation engine to sustain engagement. Progress tracking was built as two distinct views reading off the same Firebase data layer: a simplified snapshot for parents, and topic-level detail for teachers.
How we approached it
Built the app once in Flutter instead of two native codebases, making it feasible to cover 500+ curriculum topics without doubling mobile engineering effort.
Modeled personalization as continuous per-topic mastery scoring in TensorFlow rather than fixed grade-level pacing, so a student's path shifts as performance data comes in.
Used Firebase for real-time sync so parent and teacher dashboards reflect a student's activity the moment it happens, not on a batch delay.
Split progress tracking into two purpose-built views on the same data — a simplified summary for parents, topic-by-topic detail for teachers — instead of one generic report for both.
The impact
Active Students
Learning Gain
App Rating
"Our students are more engaged than ever. The AI personalization is incredible."
Head of Product
EdTech platform
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