Adaptive Learning Path Recommendation Engine

Develop a sophisticated Excel-based recommendation system that generates personalized learning paths based on student performance data, skill assessments, and predictive analytics. Implement advanced matrix calculations to match individual student profiles with optimal learning resources, tracking knowledge gaps and suggesting targeted interventions. Include machine learning-inspired algorithms that adjust recommendations based on historical performance and learning trajectory.