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

نویسندگان

  • Stephen Blessing
  • Shrenik Devasani
  • Stephen B. Gilbert
چکیده

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.

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تاریخ انتشار 2011