How Do Students Learn to Program?: Investigating Theory and Practice with Learning Analytics

Abstract

This dissertation will use the Blackbox data set to explore which student behaviors are most likely to lead to learning a programming concept, resulting in a model of student learning which will be analyzed to determine which learning theories and models it supports. Finally, whether machine learning can be used to predict student learning will be explored.