Yakimchuk, Vera and Garbe, Hilke and Möbus, Claus and Thole, Heinz-Jürgen and Wagner, Edwin (2003) An Intelligent Problem Solving Environment in the Domain of Electrical Engineering. In: Artificial Intelligence in Education, Frontiers in Artificial Intelligence and Applications. Frontiers in Artificial Intelligence and Applications (97). IOS Press, Amsterdam, pp. 518-520. ISBN 978-1-58603-356-9
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Abstract
This paper presents mileET - an intelligent problem solving environment (IPSE) for a topic area from the basics of general electrical engineering. MileET supports the learner throughout the whole process of problem solving. Our work is based on cognitive science research (ISP-DL-Theory) of our group and on the development of IPSEs in various domains, as well as on the competence of the partner universities in general electrical engineering and on their elaborated task collections. As no formal specification of the tasks exists, we classified the tasks according to their informal specified goals and elaborated a new model (called Y-Model) describing the process of domain-specific task solving. This model is implemented in PROLOG as a set of goal-mean-relations (GMRs), and allows an elaboration of the planning objectives and symbolic computation. These GMRs form the core of our generative expert system (GXPS) that provides the adaptive support while solving tasks.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | Intelligent Problem Solving Environment, Adaptive Hypothesis Testing, Electrical Engineering, Education, eLearning, Task Model, Knowledge Representation, Cognitive diagnosis, Cognitive Assessment |
| Subjects: | Generalities, computers, information > Computer science, internet Philosophy and psychology > Psychology |
| Divisions: | School of Computing Science, Business Administration, Economics and Law > Department of Business Administration, Economics and Law |
| Date Deposited: | 19 Nov 2014 10:26 |
| Last Modified: | 19 Nov 2014 10:26 |
| URI: | https://oops.uni-oldenburg.de/id/eprint/1958 |
| URN: | urn:nbn:de:gbv:715-oops-20390 |
| DOI: | 10.13140/2.1.2647.0404 |
| Nutzungslizenz: |
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