Design a learning analytics system that tracks student engagement and course completion rates. The platform will analyze user activity data to improve online education quality and recommend personalized learning interventions
Collect LMS interaction datasets.
Clean and preprocess engagement data.
Identify key performance indicators such as login frequency and completion rate.
Implement clustering algorithms for learner segmentation.
Predict course completion likelihood.
Visualize engagement patterns.
Develop dashboards for instructors.
Evaluate model effectiveness.
Suggest personalized learning strategies.
Document system performance and insights.
