Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…

In an effort to better align item development to goals of assessing higher-order tasks and decision making, complex decision trees were developed to follow clinical reasoning scripts and used as models on which multiple-choice questions could be built. This approach is compatible with best-practice assessment frameworks like Evidence Centered…