BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//CS-TR-87-1183
       ENTRY:: April 24, 1995
ORGANIZATION:: Stanford University, Department of Computer Science
       TITLE:: The Knowledge Engineer as Student: Metacognitive bases for
               asking good questions
        TYPE:: Technical Report
      AUTHOR:: Clancey, W. J.
        DATE:: January 1987
       PAGES:: 40
    ABSTRACT:: Knowledge engineers are efficient, active leamers. They
               systematically approach domains and acquire knowledge to
               solve routine, practical problems. By modeling their methods,
               we may develop a basis for teaching other students how to
               direct their own learning. In particular, a knowledge
               engineer is good at detecting gaps in a knowledge base and
               asking focused questions to improve an expert system's
               performance. This ability stems from domain-general knowledge
               about: problem-solving procedures, the categorization of
               routine problem-solving knowledge, and domain and task
               differences. this paper studies these different forms of
               metaknowledge, and illustrates its incorporation in an
               intelligent tutoring system. A model of learning is presented
               that describes how the knowledge engineer detects
               problem-solving failures and tracks them back to gaps in
               domain knowledge, which are then reformulated as questions to
               ask a teacher. We describe how this model of active learning
               is being developed and tested in a knowledge acquisition
               program for an expert system.
       NOTES:: [Adminitrivia V1/Prg/19950424]
         END:: STAN//CS-TR-87-1183