Möbus, Claus and Seebold, Heiko and Garbe, Hilke (2005) A Greedy Knowledge Acquisition Method for the Rapid Prototyping of Knowledge Structures. In: Proceedings of the 3rd International Conference on Knowledge Capture (K-CAP'05). ACM Press, New York, pp. 211-212. ISBN 1-59593-163-5

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Official URL: http://dl.acm.org/citation.cfm?doid=1088622.108867...


The main goal of this paper is the presentation of a new GReedy knowledge Acquisition Procedure (GRAP) for rapid prototyping of knowledge structures (KS) or spaces. The classical knowledge acquisition method for this is even for domain experts cognitive demanding and computational complex. GRAP interactively generates an online knowledge acquisition schedule so that experts only have to provide simple nonredundant judgements about the (learning / cognitive) precedence in pairs of (learning / cognitive) objects. From these data GRAP generates a Hasse diagram of the surmise relation from which the knowledge structures and optimal user-adaptive learning paths can be derived. In a case-study we developed with three expert software engineers a knowledge structure and optimal learning paths for 23 software design patterns within a few hours.

Item Type: Book Section
Uncontrolled Keywords: Greedy knowledge acquisition, rapid prototyping, knowledge structure, knowledge space, precedence judgment data, Hasse diagram, surmise relation, user-adaptive learning paths, software design patterns
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: 22 Sep 2014 10:44
Last Modified: 22 Sep 2014 10:44
URI: https://oops.uni-oldenburg.de/id/eprint/1915
URN: urn:nbn:de:gbv:715-oops-19962
DOI: 10.1145/1088622.1088673

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