Adaptive Learning Path Recommendation Engine

Build an Excel-based recommendation system that generates personalized learning paths using machine learning-inspired algorithms. Create a multi-sheet workbook with scoring mechanisms, probability-based progression tracking, and dynamic content recommendation logic. Implement complex nested IF statements and lookup tables that can suggest optimal learning strategies based on individual student performance, learning style, and historical achievement data.