In addition to explaining the complex paradigm shift from conceptual change to discourse analysis in Science Education, due, mainly, to the increasing influence of the use of electronic communication for learning, the aim of this paper is to describe the…

The changes that have taken place during the modern era have threatened the overall authority of the ‘ulamā’ as transmitters of knowledge. The ‘ulamā’ nevertheless retained their status by adapting their past discursive forms. Based upon interviews and content analysis,…

The educational policies of the Singapore government are driven by the needs of a modern knowledge-based society and economic development, with the state advocating modernity while the Muslim minority, arguably, appeared to be caught in tradition and holding on to…

Assumimos a Direção do Arquivo Público do Estado em meados de 1971, recebendo-a das mãos de nosso ilustre antecessor senhor Djalma Coelho de Souza, sendo Governador do Estado o Exmo. Sr. Dr. Colombo Machado Sailes e Secretário da Administração o…

A emergência da web tem tido um impacto profundo a níveis diferentes da nossa sociedade. A web tem vindo a mudar a forma como os indivíduos interagem, partilham informação, aprendem e trabalham. Na economia do conhecimento actual, a ‘participatory media’…

Short survey carried out at the beginning of the course in order to elicit information about the students' background, future prospects and knowledge of ICT.

This paper presents a proposal for an architecture that integrates knowledge discovery systems (automatic acquisition) and knowledge based systems (experts systems). This work formulates considerations over the viability of the implementation of this architecture according to the advance of the…

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…