Number of found records: 44
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GULYAEV, Sergei A.; STONYER, Heather R. |
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Making a map of science: General Systems Theory as a conceptual framework for tertiary science education |
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International-Journal-of-Science-Education; 2002, vol. 24 nº 7 pp.753-69. |
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On line (07/05/2005) |
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As a result of the reductionist approach to science curricula in tertiary education, students are learning science in a fragmented way. With the purpose of providing students with tools for a more holistic understanding of science, an integrated approach based on the use of general systems theory (GST) and the concept of 'mapping' scientific knowledge (its relationships, connections and generalities) is developed. GST is used as the core methodology for understanding science and its complexity. By analogy with geographic maps, we introduce scales of educational 'science maps' - scales of integration. Three principal scales of integration can be distinguished in GST, which we consider necessary for GST to be effectively applied in education. They are (a) the scale of branches and fields of science, (b) the scale of hypotheses and theories, and (c) the scale of structures and hierarchies. Examples of each of these three scales are provided from the field of physical science. The role of the scientific community in producing accessible, and essential, maps of scientific knowledge for science education is discussed. |
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scientific knowledge; knowledge representation; concept maps |
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HOFFMAN, Robert R.; COFFEY, John W.; HAYES, Patrick J.; CAÑAS, Alberto J.; FORD, Kenneth M.; CARNOT, Mary Jo |
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One Small Step for a Diagram, One Giant Leap for Meaning |
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Mary Hegarty, Bernd Meyer, N. Hari Narayanan (Eds.): Diagrammatic Representation and Inference, Second International Conference, Diagrams 2002, Callaway Gardens, GA, USA, April 18-20, 2002, Proceedings. Lecture Notes in Computer Science 2317 Springer 2002 Diagrammatic Representation And Inference
Lecture Notes In Artificial Intelligence, 2317: 344-346, 2002
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On line (07/05/2005) |
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This is a report on a major project on the elicitation and graphical representation of expert knowledge using Concept-Mapping to generate knowledge models. STORM-LK (System To Organize Representations in Meteorology-Local Knowledge) is a Human-Centered system developed using the CMap Tools© software to represent the knowledge and reasoning of expert weather forecasters. The node-and-link diagrams in STORM-LK have a rich semantics that is laid over a propositionally-coherent framework. STORM-LK demonstrates the feasibility of using CMap diagrams to generate large-scale multi-media knowledge models (hundreds of propositions and hundreds of multimedia resources). This use of diagrams, merging interactive graphical communication with knowledge management, provides a functional counterpoint for discussion of a number of issues, both logical and psychological, in diagrammatic communication and reasoning. (AU) |
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concept mapping; knowledge models; Cmap Tools; graphs |
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Hypersoft |
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Knowledge Manager |
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On line ( 15/06/2004) |
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Web site of Italian entreprise Hypersoft dedied to create hypermedial sofware on knowledge management and others information technology. |
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knowledge management; concept maps; software |
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Kardaras, D.; Karakostas, B. |
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The use of fuzzy cognitive maps to simulate the information systems strategic planning process |
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Information and Software Technology 1999, nº 41, pp. 197–210 |
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On line (07/05/2005) |
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In the early 1980s articles began to focus on Strategic Planning of Information Systems (SISP) and to argue the critical importance of Information Technology (IT) in today's organisations. Since then, a large number of models were presented in order to analyse IT from a strategic point of view and suggest new IT projects. However, researchers urge for alternative approaches to SISP, as current ones fall short in taking into consideration both the business and IT perspectives as well as they fail to tackle the complexity of the domain and suggest specific IS opportunities. This article suggests Fuzzy Cognitive Maps (FCM) as an alternative modelling approach and describes how they can be developed and used to simulate the SISP process. FCMs were successfully developed and used in several ill-structured domains, such as decision making, policy making. The proposed FCM contains 165 variables and 210 relationships from both business and IT domains. The strength of this approach lies in its capability not only to comprehensively model qualitative knowledge which dominates strategic decision making, but also to simulate and evaluate several alternative ways of using IT in order to improve organisational performance. This approach introduces computational modelling, as well as it supports scenarios development and simulation in the SISP domain. (AU)
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Fuzzy cognitive maps; Simulation; Strategic information systems planning |
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