Adaptive Learning Recommendation Engine API

Create a machine learning-enhanced API for generating personalized learning recommendations that adapts in real-time to student performance and engagement metrics. Design a modular recommendation system that can integrate multiple data sources (assessment scores, interaction logs, learning style profiles) and generate dynamic learning pathways. Include a robust feature engineering pipeline and a scalable inference mechanism that can handle high-concurrency educational environments.