The paper presents a curriculum model used as a theoretical framework to analyse classroom practice in Icelandic and Science in the context of national tests in Iceland. The model represents a synthesis of literature about curriculum, teachers’ conceptions, pedagogical content…

(cont.) which is expected, given their additional knowledge resources. The respondents' urgency in looking for the relevant knowledge is the primary explanation for this difference between the two networks. This difference in knowledge networking among the different groups did not…

En muchas bases de conocimiento para el PLN prevalece actualmente un enfoque lexicista. En cambio, FunGramKB utiliza la ontología como módulo pivote entre los niveles léxicos y cognitivos, convirtiéndose así en el componente más importante. El propósito de este artículo…

by Brian Cantwell Smith., Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1982., MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING., Bibliography: leaves 756-761.

Characterization of defect is one of the important objectives of nondestructive evaluation (NDE) for condition assessment of structures. Among many other NDE techniques, ultrasonic methods play a prominent role in the both quantitative and qualitative assessment of discontinuities in reinforced…

The development of the novel form is an exploration of the possibilities for realistic
representation which is increasingly informed by an understanding that distortion and
fabrication are inevitable consequences of the mediating process of narrative. The search
for alternatives to…

This article presents a procedure for constructing a taxonomy of COTS products in the field of Requirements Engineering (RE). The taxonomy and the obtained information reach transcendental benefits to the selection of systems and tools that aid to RE-related actors…

This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The proposed neuro-fuzzy network does not require a priori…

Complex control tasks may be solved by dividing them into a more specific and more easily handled subtasks hierarchy. Several authors have demonstrated that the incremental layered evolution paradigm allows obtaining controllers capable of solving this type of tasks. In…

This work is focussed on the development and analysis of a new class of algorithms, called cellular memetic algorithms (cMAs), which will be evaluated here on the satisfiability problem (SAT). For describing a cMA, we study the effects of adding…