Adaptive Learning Path Generator with Type-Driven Design

Build a TypeScript-based algorithm for generating personalized student learning paths using advanced type inference and conditional types. The system should dynamically construct learning trajectories based on student skill assessments, prior knowledge, and learning style detection. Implement a robust type system that can represent different learning modules, skill dependencies, and progression rules while maintaining compile-time type safety.