AI-Powered Adaptive Learning Platform

Python, FastAPI, Node.js, PostgreSQL AI: OpenAI, Multi-Agent Systems, Adaptive Algorithms

4 Months

The client is an educational technology provider focused on higher education. The goal was to create an AI-driven platform that could automate the creation of high-quality, university-level assessment materials while providing a personalized and adaptive learning experience for students.

Creating effective exams and quizzes is a time-consuming process for educators, and static learning materials often fail to address individual student needs. The client needed a solution that could not only generate authentic university-grade questions but also dynamically adapt to each student's learning journey, providing targeted practice where they needed it most.

We developed an adaptive learning platform powered by a multi-agent AI system. The solution features two main generation modes: batch creation of full exams based on selected topics and course information, and on-the-fly generation of personalized reaffirmation questions. The key innovation is the dynamic difficulty management system. Using algorithmic rules, the AI adjusts the complexity of questions based on student performance. If a student answers incorrectly, the system analyzes the nature of the mistake and the question type to generate a targeted reaffirmation question that addresses the specific knowledge gap. The main challenge was ensuring the generated content was both academically rigorous and pedagogically sound. We successfully achieved this by designing precise agent workflows and implementing full traceability for all model executions, allowing for continuous monitoring and improvement of the question quality. The platform now reliably produces authentic educational content that adapts to each student's unique learning path.