Predictive recommendation engine

This system helps students by using a computer server to track their learning progress and determine when they have fully understood a specific topic. It does this by predicting how likely a student is to answer questions correctly, using sophisticated statistical methods like Item Response Theory and Bayesian updates, and then notifies their device when mastery is achieved. The core of the invention lies in these specific statistical models for assessing student knowledge.