Thole, Heinz-Jürgen and Möbus, Claus and Schröder, Olaf (1997) Domain Knowledge Structure, Knowledge Representation and Hypotheses Testing. In: Artificial Intelligence in Education: Knowledge and Media in Learning Systems. IOS Press, Amsterdam, pp. 410-417. ISBN 90-5199-353-6

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Intelligent problem solving environments (IPSEs) offer students the opportunity to acquire knowledge while working on a sequence of problems chosen from the domain. Up to now we have developed several IPSEs for various curricula and applications (computer science, configuration problems, pneumatics, economic simulation games, causal modelling, and chemistry). On the surface being very different all IPSEs follow a common design theory: the student is encouraged to acquire knowledge by stating and testing hypotheses. One of these differences is the structure of domain knowledge. The aim of this paper is to show different realizations of the hypotheses testing approach for differently structured domain knowledge. The domains differ in their knowledge representation, tree-like structure vs. graph-like structure, and their possibility to precisely locate errors. The interrelations between the domain knowledge, the representation of the diagnostic knowledge, and the contents of the help information are described. First we give a brief overview of our knowledge acquisition theory. This is followed by two IPSEs with differently structured knowledge. The diagnostic components and their relationships to hypothesis testing are discussed and a comparison is made that points at the commonalities and the differences between the systems that can be traced back to different domain structures.

Item Type: Book Section
Uncontrolled Keywords: Intelligent problem solving environments, IPSE, common design theory, knowledge acquisition by stating and testing hypotheses, hypotheses testing approach, differently structured domain knowledge, help information, knowledge acquisition theory
Subjects: Generalities, computers, information > Computer science, internet
Philosophy and psychology > Psychology
Divisions: School of Computing Science, Business Administration, Economics and Law > Department of Computing Science
Date Deposited: 09 Sep 2015 08:22
Last Modified: 08 Oct 2015 08:21
URN: urn:nbn:de:gbv:715-oops-22090
DOI: 10.13140/2.1.4220.7048

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