Learning Analytics

This section applies techniques from the fields of educational data mining and machine learning to unlock insights from the platform log files. Learning analytics methods, including clustering and predictive modeling, are employed to explore emerging usage patterns. Both teacher implementation behaviors and student learning trajectories are examined through this lens. These empirical inquiries present a data-driven perspective on platform activation and educational outcomes.

• 5.1 Analysis of Teacher Platform Implementation
• 5.2 Investigation of Student Learning Behaviors
• 5.3 Predictive Modeling of Assessment Performance