Tutorial: Building an AI-Powered Learning Management System
- •Shittu Olumide outlines a guide for building an AI-powered LMS using open-source tools
- •The system utilizes Ollama and Mistral 7B to deliver adaptive learning and dynamic assessments
- •Features include RAG-based tutoring and mastery tracking via Exponential Moving Average (EMA)
Developer Shittu Olumide released a tutorial on May 11, 2026, detailing how to construct an AI-powered Learning Management System (LMS) designed to replace static content delivery with personalized, adaptive instruction. The project architecture relies on Ollama with the Mistral 7B model for local execution, FastAPI for backend operations, and React for the frontend.
The system replaces traditional static quiz banks with AI-generated assessments and adaptive learning paths that adjust based on user performance. Learners must achieve a 75% score to unlock subsequent modules. An AI tutor integrated via WebSocket provides real-time support, utilizing Retrieval-Augmented Generation (RAG) to ensure responses are grounded in course material.
Progress is quantified using an Exponential Moving Average (EMA) formula, calculated as 30% recent score plus 70% historical mastery. This system aims to address deficiencies in standard e-learning, where research shows retention rates are 8-10% compared to 25-60% for active, personalized learning methods.