For my CREU project, I will be using collected brain activity data and log data from an intelligent tutoring system (ITS) to predict when a student is attempting to game the system. Gaming the system is a term used to describe when a student takes advantage of the features of the ITS so that they can quickly go through the problems without actually learning anything, such as clicking hint over and over until the answer is revealed. Once the predictions of gaming have been made based on the data, I will be using machine learning methods to adapt an ITS so that it can prevent a student from gaming. Check out the Reports
tab for more details on my study!
Many studies have looked at log data from an ITS to predict gaming the system or off-task behaviors, but very few studies have used brain data to aid in these predictions. This study will help us better understand the learner's state while using an ITS, specifically during times of gaming, which will in turn help us to adapt the tutoring system to better support the student's learning.