Adaptive Learning at 200K Student Scale
LearnPulse wanted to move beyond static online courses. We built a personalised learning platform that adapts in real time to each student's pace, knowledge gaps, and learning style — serving 200K+ concurrent students across K–12 and university curricula in 6 languages.
Their existing LMS was a WordPress plugin serving pre-recorded videos. Completion rates were 18%. Students with different starting knowledge levels were getting the same content. Teachers had no visibility into where students were struggling. The platform was unusable on mobile — where 70% of their users were.
We built a knowledge graph of 50K+ learning objectives with prerequisite mapping. A Bayesian knowledge tracing model updates each student's mastery level after every interaction. Content is dynamically assembled — videos, interactive exercises, and quizzes — tuned to the student's zone of proximal development. Teachers get a real-time class heatmap.
Real-time mastery estimation updates after every quiz answer, video pause, or exercise attempt.
50K+ learning objectives connected by prerequisite relationships, enabling true adaptive sequencing.
Live class heatmap showing per-student mastery, at-risk flags, and suggested interventions.
Full content localisation with RTL support, auto-translated subtitles, and locale-aware exercises.
Smart pre-cache downloads next 3 lessons when on WiFi — works fully offline on mobile.
Streaks, badges, leaderboards, and XP — designed with learning scientists to boost intrinsic motivation.
Learning scientist engagement, knowledge graph taxonomy, BKT model research, curriculum mapping.
BKT model implementation, Neo4j knowledge graph, recommendation engine, A/B testing framework.
Video delivery pipeline, interactive exercise engine, quiz system, content authoring tools.
Next.js learner dashboard, teacher command centre, D3 visualisations, real-time WebSocket updates.
React Native app, offline content caching, push notifications, gamification UI.
6-language localisation, CDN optimisation, load testing to 300K concurrent, rollout.
Going from 18% to 73% completion rate is the kind of result you hope for but rarely see. The personalisation engine genuinely feels like a one-on-one tutor. Teachers tell us they finally feel like they understand their students.
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