Performance Prediction

The Prediction Engine is designed to anticipate student performance progression, combining explainable educational rules with optional machine learning to support learner impact and enterprise LMS integration. It predicts risk early by blending rule-based heuristics and supervised models, assigning actionable cohorts and recommending timely interventions based on engagement, assessment, and completion signals. Built with calibrated risk scoring, confidence labeling, and structured explanations, it ensures transparent, auditable predictions while maintaining operational robustness, governance clarity, and continuous improvement through feedback loops.