Viz-R: Using Recency to Improve Student and Domain Models

Abstract

We describe a new method to troubleshoot and improve domain and student models from interactive learning environments. The method applies as long as the models can generate predictions of student behavior. The method is a visualization of model predictions, categorized using a metric of recent performance. We describe the method, its application in prior work to student models, and a proposed extension to domain models.