Web-Based Bayesian Tutoring System
Gregory A. Krudysz, Jenfeng Li, James H. McClellan · 2006
A number of Bayesian toolkits have been developed to learn from data through statistical inference. These toolkits are increasingly being applied in intelligent tutoring systems (ITS) whose aim is to assist student learning. In this paper, we introduce a template for a Web-based Bayesian driven ITS, which organizes course material, tests student understanding, and evaluates student performance to suggest a further plan of study. In addition, we provide guidelines for constructing a knowledge domain that will include meaningful problems that test all concepts being learned