learning-analytics

What problem does it solve?

This Skill addresses the challenges of educational analytics by ensuring fairness and privacy, providing tools for engagement metrics, dropout prediction, and early-warning systems with explicit trade-offs.

Core Features & Use Cases

• Engagement Metrics: Track student engagement across various platforms and tools.
• Dropout Prediction: Predict student dropout risk with fairness considerations.
• Early Warning Systems: Identify students at risk of dropping out early.
• Use Case: For educational institutions aiming to improve student outcomes by analyzing engagement and predicting potential dropouts, while maintaining privacy and fairness.

Quick Start

Use the learning-analytics skill to analyze student engagement metrics and predict dropout risk for the upcoming semester.