Dynamic Educational Assessment Item Bank Generator

Design a sophisticated Python system that can automatically generate high-quality assessment items using natural language generation and machine learning techniques. Create an intelligent item generation framework that can produce context-aware, pedagogically sound test questions across multiple subject domains. Implement advanced language models, incorporate difficulty calibration, support multiple question types, and provide statistical validation of generated items.