Adaptive Learning Recommendation Engine Database

Create a sophisticated database architecture for an adaptive learning platform that generates personalized learning recommendations based on student performance, learning styles, and historical academic data. Design a graph-based database schema that can efficiently track learning pathways, skill progression, and content relationships. Implement advanced recommendation algorithms with real-time processing capabilities and support for machine learning model integration.