Methods for Evaluating Simulated Learners: Examples from SimStudent

We discuss methods for evaluating simulated learners associated with four different scientific and practical goals for simulated learners. These goals are to develop a precise theory of learning, to provide a formative test of alternative instructional approaches, to automate authoring of intelligent tutoring systems, and to use as a teachable agent for students to learn by teaching. For each goal, we discuss methods for evaluating how well a simulated learner achieves that goal. We use SimStudent, a simulated learner theory and software architecture, to illustrate these evaluation methods. We describe, for example, how SimStudent has been evaluated as a theory of student learning by comparing, across four domains, the cognitive models it learns to the hand-authored models. The SimStudent-acquired models generally yield more accurate predictions of student data. We suggest future research into directly evaluating simulated learner predictions of the process of student learning.

• Type: Journal
• Year: 2015
• Where: AIED
• Authors: Kenneth R. Koedinger, Noboru Matsuda, Christopher J. MacLellan, Elizabeth A. McLaughlin
• Keywords: AIED 2015, Artificial Intelligence