Evaluation of WebxPST: A Browser-Based Authoring Tool for Problem-Specific Tutors

Authors: 

Stephen B. Blessing, Shrenik Devasani and Stephen Gilbert

Paper type: 
Poster

Abstract: 

Authoring tools enable the more rapid creation of intelligent tutoring systems. Such tools are essential for tutors to become more widespread. In this study we evaluate WebxPST, a browser-based authoring system that enables non-programmers to create model-tracing-like intelligent tutors. Five authors, two course instructors and three undergraduates, created 74 problems suitable for use in an undergraduate statistics curriculum. A subset of these problems was deployed in a classroom. These authors quickly mastered the authoring interface showing the feasibility of the tool.

Keywords: 

authoring tools, problem-specific tutors, statistics