Adaptive Learning Pathway Type-Safe Decision Engine

Design a strongly-typed TypeScript module for dynamically generating personalized student learning pathways using advanced generic type constraints. The system must support multiple curriculum models, track student performance across different learning domains, and generate recommendation algorithms that adapt in real-time. Implement a type-safe strategy pattern that allows curriculum designers to extend recommendation logic without breaking existing type contracts. Include robust error handling for edge cases like insufficient data or curriculum mismatches.