Advanced Student Engagement Prediction Model

Create a comprehensive Python-based predictive model that forecasts student engagement levels using multivariate analysis of learning interaction data. Develop a machine learning pipeline that integrates behavioral metrics, academic performance, interaction logs, and psychological factors to predict potential disengagement with high accuracy. Implement advanced feature engineering, use ensemble learning techniques, and create an interpretable model that provides actionable insights for early intervention.