Adaptive Assessment Difficulty Calibration System

Create a Python-based adaptive testing framework that dynamically adjusts question difficulty in real-time based on learner performance. Implement a Bayesian probability model using scipy that calculates optimal question selection to provide maximum information about a student's true skill level. Include robust error handling and statistical validation mechanisms to ensure assessment accuracy.