Education & EdTech
Adaptive Learning Platform for an Online Education Provider
Replacing one-size-fits-all course content with an adaptive platform that responds to how individual students actually learn.
Education & EdTechAn online education provider
Client details anonymized for confidentiality.
The challenge
Every student moved through the same fixed course content at the same pace, regardless of where they were actually struggling.
- Drop-off rates were highest at a handful of specific lessons, but instructors had no systematic way to see that.
- Struggling students often didn't surface until they'd already disengaged from the course.
- Instructors were building progress reports by hand, pulling data from several disconnected tools.
The solution
We built an adaptive learning platform that adjusts content and pacing per student, with analytics that surface struggling students early.
- Built a recommendation layer that adjusts lesson sequencing based on individual student performance.
- Added instructor-facing analytics that flag at-risk students automatically, instead of waiting for manual review.
- Consolidated progress reporting into a single dashboard, replacing several disconnected spreadsheets.
Technologies
Tools we build with
PythonReactPostgreSQLOpenAI APIAWS
Results
The outcome
Instructors gained visibility into student progress they'd never had before, and course completion rates improved as a result.
Improved
Course completion
Automatically
At-risk students flagged
Largely eliminated
Manual reporting time
Client details anonymized for confidentiality. Figures reflect the representative outcomes this type of engagement targets.
Preview
Product screenshots
This project was built as part of our
AI DevelopmentProduction-grade AI systems, from LLM applications to RAG and agents.
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