1,721,006 research outputs found

    A knowledge-based system for the analysis of electrical networks

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    A knowledge-based system for the analysis of electrical networks in alternate current in steady condition is presented. It is a glass box expert system, capable of determining and representing explicitly the current solution for a given problem. The system, mainly conceived for educational purposes, has been implemented in NEXPERT on a Macintosh platform. The system can work in different ways (fully automated or step-by-step) and determine one, some or all the possible solution paths. This, among other features, makes it well suited for educational purposes. The capability of determining all the resolution paths for a given problem has been obtained by using contexts. The system has been tested with several electrical circuits with satisfactory results both in terms of the correctness of the determined solutions and in terms of the performance for the response time. The results of the tests of the system confirmed our expectations about the advantage of a knowledge-based approach for systems to be used for educational purposes. Copyright (C) 1996 Elsevier Science Lt

    The Self-Directed Learning Paradigm for Intelligent Educational Systems.

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    Computer-based educational systems can teach procedural expertise inexpensively yet effectively if a holistic, self directed instructional paradigm is used. The educational system described here is an example. It teaches users who know at least the basics of a foreign language, to write effective business letters in that language. A case-based search engine proposed to these users passages extracted from correspondence which has been used with success in their business community, and lets them systematically "assemble" the letter needed for the circumstances at hand. Applying Case-Based Reasoning to a database of model letters, the system selects the passages according to the communicative intent which they user defines for each paragraph of the desired letter; the system also takes into account both the user's and the recipient's personality and culture. The most innovative aspect of the system is the underlying non-directive educational philosophy: "teach better'by teaching less." It draws inspiration. from such pedagogical currents as Constructivism and Self-Directed Learning. The system, in fact, does not offer the user a ''best choice" from among the passages it proposes, but rather leaves defining what is "best" to the user/learner. The paper argues at length that by making learoers responsible for formulating what they need to know, the system develops what is distinctively human in the process of coming to know: the volitional substratum
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