Adaptive Learning Path Generator with Machine Learning Integration

Create a TypeScript-based algorithmic system for generating personalized student learning paths using advanced type inference and machine learning interfaces. Design a strongly-typed pipeline that can ingest student performance data, assess learning gaps, and dynamically generate customized curriculum recommendations. Implement a generic recommendation engine that supports multiple learning models while maintaining compile-time type safety and runtime performance optimization.