O enigma do modelo por competência no ensino primário de Moçambique

A implementação efectiva do Modelo por Competência nas instituições da educação constitui um dos maiores desafios do Ministério da Educação e Desenvolvimento Humano. Passa mais do que uma década que os currículos baseados em competência estão sendo implementados no Ensino Primário. Contudo, a qualidade de formação dos alunos nos diferentes ciclos de aprendizagem tem sido reclamada e/ou censurada por diferentes grupos sociais, incluindo professores, pais e encarregados de educação. É neste âmbito que o presente artigo pretende analisar o impacto e efeitos do desenvolvimento de competências na organização curricular moçambicana na qualidade de aprendizagens dos alunos do Ensino Primário do país. Para o efeito, foram eleitos os paradigmas quantitativo e qualitativo, a combinação de métodos bibliográficos, documental e de estudo de caso e ainda de técnicas como entrevista, questionário, observação e testes diagnósticos aplicados sobre uma amostra de (N=908) indivíduos (gestores, professores e alunos. O percurso investigativo permitiu que se chegasse à conclusão de que o modelo por competência está longe de ser implementado efectivamente nas escolas moçambicanas, uma vez que apenas 45% dos cerca de n=112 alunos testados é que desenvolveram as competências prescritas nos programas do Ensino Primário. Este facto deve-se à falta ou deficiente apropriação da filosofia e estratégias exigidas pelo currículo pelos dirigentes, gestores, professores e encarregados de educação, exiguidade de recursos infraestruturais, materiais e meios de ensino para efectiva implementação do currículo do Ensino Primário.

The European challenge of KMN and innovation: a skills and competence portfolio for knowledge worker in SME's

Versão editor: http://www.isegi.unl.pt/docentes/acorreia/documentos/European_Challenge_KM_Innovation_2004.pdf

O Contributo do sistema SAP R/3 no controlo interno na REFER

Dissertação apresentada ao Instituto Superior de Contabilidade para a obtenção do Grau de Mestre em Auditoria Orientador: Mestre Agostinho Sousa Pinto

TINSEL – a web-based intelligent tutoring system on electrical installation design

This paper presents a project consisting on the development of an Intelligent Tutoring System, for training and support concerning the development of electrical installation projects to be used by electrical engineers, technicians and students. One of the major goals of this project is to devise a teaching model based on Intelligent Tutoring techniques, considering not only academic knowledge but also other types of more empirical knowledge, able to achieve successfully the training of electrical installation design.

ANN-Based LMP forecasting in a distribution network with large penetration of DG

In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.

ANN based support for distributed energy resources scheduling in smart grids

The future scenarios for operation of smart grids are likely to include a large diversity of players, of different types and sizes. With control and decision making being decentralized over the network, intelligence should also be decentralized so that every player is able to play in the market environment. In the new context, aggregator players, enabling medium, small, and even micro size players to act in a competitive environment, will be very relevant. Virtual Power Players (VPP) and single players must optimize their energy resource management in order to accomplish their goals. This is relatively easy to larger players, with financial means to have access to adequate decision support tools, to support decision making concerning their optimal resource schedule. However, the smaller players have difficulties in accessing this kind of tools. So, it is required that these smaller players can be offered alternative methods to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), intended to support smaller players’ resource scheduling. The used methodology uses a training set that is built using the energy resource scheduling solutions obtained with a reference optimization methodology, a mixed-integer non-linear programming (MINLP) in this case. The trained network is able to achieve good schedule results requiring modest computational means.

Intelligent behavior in a Cyber-Ambient training system for control center operators

This paper deals with the application of an intelligent tutoring approach to delivery training in diagnosis procedures of a Power System. In particular, the mechanisms implemented by the training tool to support the trainees are detailed. This tool is part of an architecture conceived to integrate Power Systems tools in a Power System Control Centre, based on an Ambient Intelligent paradigm. The present work is integrated in the CITOPSY project which main goal is to achieve a better integration between operators and control room applications, considering the needs of people, customizing requirements and forecasting behaviors.

Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems

The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults like blackouts. In this paper, we present an Intelligent Tutoring approach for training Portuguese Control Center operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, having into account context awareness and the unobtrusive integration in the working environment. Several Artificial Intelligence techniques were criteriously used and combined together to obtain an effective Intelligent Tutoring environment, namely Multiagent Systems, Neural Networks, Constraint-based Modeling, Intelligent Planning, Knowledge Representation, Expert Systems, User Modeling, and Intelligent User Interfaces.

Literary translation and quality assessment analysis – its significance in translation training

This paper aims to highlight the role of translation quality assessment in translation training so as to develop students’ translation competence and skills to face translation problems. An analysis to assess literary translation quality is proposed before proceeding to discuss its pedagogical implementation.

Digital serious games and simulation games - comparison of two approaches to lean training

In an increasingly competitive and globalized world, companies need effective training methodologies and tools for their employees. However, selecting the most suitable ones is not an easy task. It depends on the requirements of the target group (namely time restrictions), on the specificities of the contents, etc. This is typically the case for training in Lean, the waste elimination manufacturing philosophy. This paper presents and compares two different approaches to lean training methodologies and tools: a simulation game based on a single realistic manufacturing platform, involving production and assembly operations that allows learning by playing; and a digital game that helps understand lean tools. This paper shows that both tools have advantages in terms of trainee motivation and knowledge acquisition. Furthermore, they can be used in a complementary way, reinforcing the acquired knowledge.

FPGA-based weblab infrastructures guidelines and a prototype implementation example

Recent trends show an increasing number of weblabs, implemented at universities and schools, supporting practical training in technical courses and providing the ability to remotely conduct experiments. However, their implementation is typically based on individual architectures, unable of being reconfigured with different instruments/modules usually required by every experiment. In this paper, we discuss practical guidelines for implementing reconfigurable weblabs that support both local and remote control interfaces. The underlying infrastructure is based on reconfigurable, low-cost, FPGA-based boards supporting several peripherals that are used for the local interface. The remote interface is powered by a module capable of communicating with an Ethernet based network and that can either correspond to an internal core of the FPGA or an external device. These two approaches are discussed in the paper, followed by a practical implementation example.

Multilayer Perceptron Neural Networks Training Through Charged System Search and its Application for Non-Technical Losses Detection

The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. In this paper, we show how to improve the training phase of a neural network-based classifier using a recently proposed meta-heuristic technique called Charged System Search, which is based on the interactions between electrically charged particles. The experiments were carried out in the context of non-technical loss in power distribution systems in a dataset obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others natureinspired optimization techniques for training neural networks. Thus, it is possible to improve some applications on Smart Grids.

Relatório de estágio de qualificação profissional (fase intercalar do estágio)

No âmbito do Mestrado em Educação Pré-Escolar e Ensino do 1º Ciclo do Ensino Básico e da Prática Pedagógica Supervisionada, realizada em contexto de Creche, foi desenvolvido o presente relatório de estágio de qualificação profissional na Educação Pré-Escolar. A prática educativa sustentou-se num quadro teórico-concetual de referência, com vista à construção de saberes para a Educação de Infância, pelo compromisso e responsabilização progressiva da ação docente, tendo sido encarado como um momento de singular importância. Desta forma, este documento procura ilustrar o processo de desenvolvimento de competências profissionais pela estudante para este nível de educação. Nesta linha de pensamento, importa referenciar a metodologia de investigação-ação, que fundamentou a prática pedagógica da estudante ao longo das várias etapas do processo educativo: Observação, Planificação, Ação, Avaliação, Comunicação e Articulação. Assim, apoiada em estratégias e atitudes investigativas e reflexivas, esta metodologia potenciou a transformação, melhoria e adequação das suas práticas. O contexto de formação assumiu-se, portanto, como um lugar privilegiado de articulação entre teoria e prática, onde o processo de ensino e aprendizagem ficou pautado por intencionalidades educativas com vista ao desenvolvimento integral de cada criança, bem como pela construção de saberes e competências profissionais pela estagiária, elencadas nos Decretos-Lei n.º 240 e 241 de 2001. Tomando em consideração o processo desenvolvido, importa realçar a importância de uma formação profissional ao longo da vida, de modo a potenciar o desenvolvimento de uma atitude perante a Educação cada vez mais crítica, problematizadora, indagadora, reflexiva e investigativa, em prol do desenvolvimento holístico de cada criança.

A Clinical Support System Based on Quality of Life Estimation

Quality of life is a concept influenced by social, economic, psychological, spiritual or medical state factors. More specifically, the perceived quality of an individual's daily life is an assessment of their well-being or lack of it. In this context, information technologies may help on the management of services for healthcare of chronic patients such as estimating the patient quality of life and helping the medical staff to take appropriate measures to increase each patient quality of life. This paper describes a Quality of Life estimation system developed using information technologies and the application of data mining algorithms to access the information of clinical data of patients with cancer from Otorhinolaryngology and Head and Neck services of an oncology institution. The system was evaluated with a sample composed of 3013 patients. The results achieved show that there are variables that may be significant predictors for the Quality of Life of the patient: years of smoking (p value 0.049) and size of the tumor (p value < 0.001). In order to assign the variables to the classification of the quality of life the best accuracy was obtained by applying the John Platt's sequential minimal optimization algorithm for training a support vector classifier. In conclusion data mining techniques allow having access to patients additional information helping the physicians to be able to know the quality of life and produce a well-informed clinical decision.

Relatório de Estágio de Qualificação Profissional

No âmbito do Mestrado em Educação Pré-Escolar e Ensino do 1.ºCiclo do Ensino Básico, desenvolveu-se o presente relatório de qualificação profissional, em que será analisada de forma reflexiva a Prática Pedagógica Supervisionada da mestranda, em contexto da Educação Pré-Escolar. O objetivo fulcral da desta intervenção em contexto educativo consistiu em promover a construção de aprendizagens que permitissem uma tomada de consciência do compromisso e responsabilidade atribuída ao Educador de Infância. A formanda teve oportunidade de desenvolver um perfil próprio enquanto futura Educadora de Infância, tendo como base as Orientações Curriculares para a Educação Pré-Escolar, num processo ativo de investigação-ação. Comparando a ação educativa da formanda em momentos iniciais do estágio, com momentos já mais avançados neste processo, reconhece-se uma evolução nas dimensões da observação, planificação, ação, reflexão e avaliação, que compõem o ciclo reflexivo da metodologia supracitada, evolução essa que resultou num progressivo desenvolvimento de competência profissionais. Durante a intervenção no contexto educativo, a formanda recorreu a estratégias e instrumentos de reflexão, nomeadamente os guiões de pré- observação, as planificações, as narrativas colaborativas, os diários de formação, as notas de campo e as reuniões com o Supervisor Institucional, a Educadora Cooperante e a díade de formação. A organização do ambiente educativo consistiu numa das preocupações da formanda, que procurou atender à necessidade de organizar de forma flexível o espaço, tempo e grupo.