924 resultados para active learning


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A evolução dos dispositivos móveis e a mudança de paradigma educacional, permitiu o surgimento de um novo conceito no processo de ensino e aprendizagem, o mobile learning. O mobile learning pode ser visto como um conceito multidisciplinar, dependendo da perspetiva de cada autor, pois ainda não existe um consenso em relação à definição do conceito. No entanto, todos os autores concordam que o mobile learning consiste na aquisição de conhecimento ou competência através do uso de tecnologias móveis, em qualquer lugar e momento. A presente investigação, de natureza exploratória, pretendeu estudar a receptividade e predisposição dos estudantes e docentes do ensino superior para com a utilização do mobile learning, uma vez que o ensino superior parece ser o ambiente ideal para a realização deste estudo. Por um lado, devido à democratização dos dispositivos móveis, por outro, porque o Instituto Politécnico do Porto pretende vir a implementar um projeto de mobile learning, enquadrado no e- IPP. Deste modo, para a concretização desta investigação, foi realizada uma revisão bibliográfica exaustiva que serviu de base de sustentação para todo o trabalho, complementada com um questionário, de forma a dar resposta às questões de investigação. Depois de recolhidos todos os resultados obtidos através do questionário, procedeu-se à análise e discussão mesmos, bem como às respectivas conclusões.

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MOOC (as an acronym for Massive Open Online Courses) are a quite new model for the delivery of online learning to students. As “Massive” and “Online”, these courses are proposed to be accessible to many more learners than would be possible through conventional teaching. As “Open” they are (frequently) free of charge and participation is not limited by the geographical situation of the learners, creating new learning opportunities in Higher Education Institutions (HEI). In this paper we describe a recently started project “Matemática 100 STRESS” (Math Without STRESS) integrated in the e-IPP project | e-Learning Unit of Porto’s Polytechnic Institute (IPP) which has created its own MOOC platform and launched its first course – Probabilities and Combinatorics – in early June/2014. In this MOOC development were involved several lecturers from four of the seven IPP schools.

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To evaluate the effect of concurrent infection by HIV on HBV infection or immunity, we have studied a group of 66 HIV1+ symptomatic Caucasian patients and another of 38 African HIV2+ asymptomatic individuals, concerning their HBV status: serological markers of infection and presence of HBV-DNA in serum, the last taken as sign of hepatitis B virus active replication, were monitored. HIV+ groups were compared with seronegative controls, adequately matched for age, sex and ethnological background. HBV DNA was found in 7.6% of HIV1+ Caucasian patients and 3.2% of seronegative controls; in African HIV2+ individuals 2.6% were also HBV DNA+, a percentage close to that found in HIV2 seronegative controls (2.9%). No correlation was found between HIV infection and HBV active replication. Immunodepression that follows HIV infection over time may be compatible with a degree of T cell function capable of avoiding reinfection with or reactivation of HBV, even in symptomatic stages of acquired immunodeficiency syndrome. Our findings are relevant to the choice of preventive strategies in populations at risk for HIV and HBV infection.

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The rising usage of distributed energy resources has been creating several problems in power systems operation. Virtual Power Players arise as a solution for the management of such resources. Additionally, approaching the main network as a series of subsystems gives birth to the concepts of smart grid and micro grid. Simulation, particularly based on multi-agent technology is suitable to model all these new and evolving concepts. MASGriP (Multi-Agent Smart Grid simulation Platform) is a system that was developed to allow deep studies of the mentioned concepts. This paper focuses on a laboratorial test bed which represents a house managed by a MASGriP player. This player is able to control a real installation, responding to requests sent by the system operators and reacting to observed events depending on the context.

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Artificial Intelligence has been applied to dynamic games for many years. The ultimate goal is creating responses in virtual entities that display human-like reasoning in the definition of their behaviors. However, virtual entities that can be mistaken for real persons are yet very far from being fully achieved. This paper presents an adaptive learning based methodology for the definition of players’ profiles, with the purpose of supporting decisions of virtual entities. The proposed methodology is based on reinforcement learning algorithms, which are responsible for choosing, along the time, with the gathering of experience, the most appropriate from a set of different learning approaches. These learning approaches have very distinct natures, from mathematical to artificial intelligence and data analysis methodologies, so that the methodology is prepared for very distinct situations. This way it is equipped with a variety of tools that individually can be useful for each encountered situation. The proposed methodology is tested firstly on two simpler computer versus human player games: the rock-paper-scissors game, and a penalty-shootout simulation. Finally, the methodology is applied to the definition of action profiles of electricity market players; players that compete in a dynamic game-wise environment, in which the main goal is the achievement of the highest possible profits in the market.

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This paper presents the applicability of a reinforcement learning algorithm based on the application of the Bayesian theorem of probability. The proposed reinforcement learning algorithm is an advantageous and indispensable tool for ALBidS (Adaptive Learning strategic Bidding System), a multi-agent system that has the purpose of providing decision support to electricity market negotiating players. ALBidS uses a set of different strategies for providing decision support to market players. These strategies are used accordingly to their probability of success for each different context. The approach proposed in this paper uses a Bayesian network for deciding the most probably successful action at each time, depending on past events. The performance of the proposed methodology is tested using electricity market simulations in MASCEM (Multi-Agent Simulator of Competitive Electricity Markets). MASCEM provides the means for simulating a real electricity market environment, based on real data from real electricity market operators.

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This chapter appears in Encyclopaedia of Human Resources Information Systems: Challenges in e-HRM edited by Torres-Coronas, T. and Arias-Oliva, M. Copyright 2009, IGI Global, www.igi-global.com. Posted by permission of the publisher. URL:http://www.igi-pub.com/reference/details.asp?id=7737

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This chapter appears in Encyclopaedia of Distance Learning 2nd Edition edit by Rogers, P.; Berg, Gary; Boettecher, Judith V.; Howard, Caroline; Justice, Lorraine; Schenk, Karen D.. Copyright 2009, IGI Global, www.igi-global.com. Posted by permission of the publisher. URL: http://www.igi-global.com/reference/ details.asp?ID=9703&v=tableOfContents

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The process of Competences Recognition, Validation and Certification , also known as Accreditation of Prior Learning (APL), is an innovative means of attaining school certificates for individuals without an academic background. The main objective of this process is to validate what people have learned in informal contexts, in order to attribute academic certificates. With the increasing interest of the qualification of workers and governmental support, more and more Portuguese organizations promote this process within their facilities and their work hours. This study explores the relationship between the promotion of this Human Resource Development Programme and employee’s attitudes (Job Satisfaction and Organizational Commitment) and behaviours (Extra-role Organizational Citizenship Behaviours) towards the organization they work for. Results of a cross-sectional survey of Portuguese Industrial Workers (N=135) showed that statistical significant results are in the higher levels of Voice Behaviours (a dimension of Extra-role Organizational Citizenship Behaviour in the groups of workers who were involved or had graduated from the firm promoted APL process.

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Advanced glycation end-products are Maillard reaction products that are found in thermal processed food. This compounds are often referred as unhealthy for human diet, namely because of their capacity to form amino-acid dimers. There is a broad range of answers to get about how these products are formed, how they interact with the organism and how these reactions can be inhibited to prevent the referred effects. Some compounds from garlic are thought to be able to inhibit these reactions. This study using spectrophotometric, High Performance Liquid Chromatography-Tandem Mass Spectrometry (HPLC-MS/MS) and Fourier transformed infrared spectroscopy (FTIR) analysis, helps to understand better not only not only the effect of some compounds obtained from garlic, diallyl sulfide (DAS), diallyl disulfide (DADS) and diallyl trisulfide (DATS), on these AGEs production reaction, but also helped to understand better the reaction itself.

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Chapter in Merrill, Barbara (ed.) (2009) Learning to Change? The Role of Identity and Learning Careers in Adult Education. Hamburg: Peter Lang Publishers. URL: http://www.peterlang.com/ index.cfm?vID=58279&vLang=E&vHR=1&vUR=2&vUUR=1

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática

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As alterações demográficas verificadas nos últimos anos, com um peso cada vez maior da população idosa, a par da alteração do tecido social provocada pela ausência do domicílio da mulher, cuidadora tradicional, levaram à necessidade de encontrar respostas para apoio de pessoas em situação de dependência. Reabilitar e reinserir, a par de políticas de envelhecimento ativo, são alguns dos desafios no momento, a nível global. A Rede Nacional de Cuidados Continuados Integrados (RNCCI), criada pelo Decreto-Lei n.º 101/2006, de 6 de junho, tem por missão prestar os cuidados adequados, de saúde e apoio social, a todas as pessoas que, independentemente da idade, se encontrem em situação de dependência. A Prestação de Cuidados na RNCCI significa fornecer os melhores cuidados possíveis disponíveis a um indivíduo e ou família/cuidador com uma necessidade, num contexto específico. O âmbito de intervenção na RNCCI fundamenta-se no princípio dos 3 R’s – Reabilitação, Readaptação e Reinserção. Tradicionalmente, verifica-se uma boa preparação dos profissionais de saúde que acompanham o paciente mas tem-se verificado que estes cuidados se devem prolongar para além dos apenas prestados em ambiente hospitalar e/ou familiar. De facto, constata-se a necessidade de este tipo de cuidados ser mais abrangente, podendo vir a envolver outras pessoas (familiares, amigos, ou outros cuidadores), verificando-se, porém, que na maioria dos casos não dispõem de conhecimentos ou técnicas necessárias para o acompanhamento dos mesmos pelo facto de não terem uma formação efetiva relacionada com este problema. Neste sentido, e com o auxílio das tecnologias de informação emergentes e cada vez mais poderosas é atualmente possível desenvolver soluções de apoio aos cuidadores deste tipo de cuidados. Pretendemos com o presente estudo investigar essa possibilidade, contribuindo para soluções capazes de proporcionar de forma simples e intuitiva um conhecimento adicional em prol de um apoio mais eficaz nestas situações. Para o efeito, foi desenvolvido um protótipo com essa finalidade que foi posto em prática e para o qual se apresentam os resultados obtidos.