Applying Programming by Demonstration in an
Intelligent Authoring Tool for Cognitive Tutors
Matsuda, N., Cohen, W. W., & Koedinger, K. R
Abstract: We are building an intelligent authoring tool for
Cognitive Tutors, a highly successful form of computer-based tutoring. The
primary target users (the authors) are educators who are not familiar with
cognitive task analysis and AI program-ming, which are essential tasks in
building Cognitive Tutors. Instead of asking authors to write a cognitive
model by hand, a Simulated Student embedded in the authoring tool lets an
author demonstrate how to perform the tasks in the subject domain, for
instance, solving an algebra equation. The Simulated Student observes an
author’s demonstration and induces a set of production rules that replicate
the demon-strated performances. Correct production rules, as well as
production rules that are incorrect but similar to those a human student
might produce, can be directly embedded in the Cognitive Tutor. We give a
preliminary evaluation of an implemented Simulated Students based on
inductive logic programming and path-finding.
Matsuda, N., Cohen, W. W., & Koedinger, K. R. (2005). Applying
Programming by Demonstration in an Intelligent Authoring Tool for Cognitive
Tutors. In AAAI Workshop on Human Comprehensible Machine Learning (Technical
Report WS-05-04) (pp. 1-8). Menlo Park, CA: AAAI association.
PDF file (281KB)
The workshop web site:
http://ofb.net/~oblinger/external/2005-AAAI-WS/
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