Adaptive Learning Pathway Type-Safe Recommendation Engine

Design a strongly-typed TypeScript module for an intelligent learning recommendation system that uses generics and discriminated unions to create personalized student learning paths. Implement a complex algorithm that evaluates student performance data, curriculum complexity levels, and individual learning styles to dynamically generate adaptive learning sequences. The system must support multiple learning domains (STEM, Humanities, Languages) with type-safe interfaces that prevent runtime errors and provide compile-time validation of learning progression rules.