985 resultados para Verbal Learning


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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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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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The integration of the Smart Grid concept into the electric grid brings to the need for an active participation of small and medium players. This active participation can be achieved using decentralized decisions, in which the end consumer can manage loads regarding the Smart Grid needs. The management of loads must handle the users’ preferences, wills and needs. However, the users’ preferences, wills and needs can suffer changes when faced with exceptional events. This paper proposes the integration of exceptional events into the SCADA House Intelligent Management (SHIM) system developed by the authors, to handle machine learning issues in the domestic consumption context. An illustrative application and learning case study is provided in this paper.

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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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RESUMO: Desenho do estudo: Estudo quantitativo, experimental prospectivo de factor único, desenho pré-teste, pós-teste. Objectivos: Determinar a efectividade da ecografia em tempo real, como Informação de Retorno Extrínseca Visual Ecográfica (IRE-VE) na performance do transverso do abdómen (TrA), em sujeitos saudáveis; analisar eventuais diferenças entre a IRE-VE e a Informação de Retorno Extrínseca Verbal Clínica (IRE-VC); medir a performance da musculatura abdominal, através das diferenças na espessura dos músculos TrA e oblíquo interno (OI) e deslizamento do TrA, em repouso e em contracção. Enquadramento: A maioria dos indivíduos não tem conhecimentos nem consciência do contributo de uma boa performance do TrA para a estabilidade da coluna lombar. Vários estudos recentes se têm dedicado a este assunto, tendo sido mostrado o importante contributo da ecografia como Informação de Retorno Extrínseca (IRE). Uma vez que o TrA e o OI contribuem para a estabilidade lombo pélvica, e que a aprendizagem do seu controlo motor é essencial para a recuperação da função, torna-se relevante clarificar o contributo da informação de retorno na primeira fase da aprendizagem da performance desses músculos, bem como encontrar as melhores estratégias para a sua realização. A ecografia foi o instrumento escolhido para servir esse objectivo. Métodos: Participaram no estudo 75 sujeitos, sem queixas lombares, com idades compreendidas entre os 18 e os 38 anos com um valor médio de 21,9 anos (±4,03), divididos aleatoriamente em três grupos com uma tarefa comum: a “Manobra do Transverso”, em que um grupo não recebeu IRE (GC), outro recebeu IRE verbal clínica e palpatória (GIRE-VC) e ooutro recebeu IRE visual ecográfica (GIRE-VE). Para efeitos de análise da contracção da musculatura abdominal, foram estudadas a espessura dos músculos TrA e OI e o deslizamento do TrA, visualizados em imagens ecográficas em tempo real, e congeladas para medição em diferido. Estes procedimentos foram apurados num estudo piloto de fidedignidade das medições em causa. Quanto à abordagem estatística das variáveis de performance muscular foi realizada uma análise da variância simples paramétrica para amostras independentes e um teste para a diferença de médias para amostras emparelhadas. Resultados: Observamos que no GC, a ausência de IRE cursou com uma performance idêntica nos dois momentos de avaliação e que nos dois grupos com IRE, das variáveis de performance, é significativamente diferente a contracção do TrA, para uma diferença de 1,95 mm no GIRE-VE (p=0,000) e de 0,84 mm no GIRE-VC (p=0,000). Ao comparar os grupos entre si houve diferenças no limiar da significância (p=0,056) para uma melhor contracção do TrA no GIRE-VE. As outras variáveis, contracção do OI e deslizamento do TrA, não revelaram efeito relacionado com a IRE em nenhum dos grupos. Conclusão: Dos resultados obtidos, podemos concluir que a IRE-VE, quando usada isoladamente, na Manobra do Transverso provoca um maior aumento na espessura do TrA, quando comparada com a IRE-VC . O uso da ecografia mostrou ser efectivo na facilitação da performance da Manobra do Transverso em sujeitos saudáveis.---------------------ABSTRACT: Study Design: Single Factor Experimental Design: Pre-Test Post-test Control Group Design. Objectives: To measure the contribution of different types of biofeedack on Transversus Abdominis (TrA) and Internal Oblique (IO) performance through changes in thickness and lateral slide of TrA anterior fascia during abdominal hollowing exercise (AHE). Background: Increasingly clinicians are using real-time ultrasound imaging as a form of supplementing feedback when teaching trunk stabilization exercises to patients; however, there has been no evidence of its effectiveness when used alone. Material and Methods: Seventy-five healthy subjects were divided randomly into 3 groups that received: group 1, no feedback; group 2, verbal and palpatory feedback, and group 3, realtime ultrasound feedback. The TrA and IO performance of each subject was twice assessed (before and after receiving feedback) when performing the AHE in a supine hook-lying position. Analysis of variance and T-test were used for the independent and paired samples, respectively, to determine significant changes in the performance of TrA and IO, based on intra and inter group analysis. Results: Group 1 had no differences between moments; group 2 had significant differences concerning TrA thickness (p=0,000) to a 0,84 mm thickness difference; group 3 had significant differences concerning TrA thickness (p=0,000) to a 1,94 mm difference; The ability to perform the AHE differed only among group 3 and group 1 (p=0.056), and only for changes in thickness of TrA muscle. No differences among groups were found neither for the lateral slide of TrA anterior fascia, nor for the internal oblique thickness. Conclusion: From the results of this study we conclude that real-time ultrasound feedback, when used alone during an AHE, can have a larger increase in TrA thickness when compared to verbal and palpatory feedback. The use of real time ultrasound showed to be effective as a feedback tool to facilitate the performance of the AHE in a supine hook-lying position in healthy subjects.

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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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Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

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ISCAP’s Information Systems Department is composed of about twenty teachers who have, for several years, been using an e-learning environment (Moodle) combined with traditional assessment. A new e-assessment strategy was implemented recently in order to evaluate a practical topic, the use of spreadsheets to solve management problems. This topic is common to several courses of different undergraduate degree programs. Being e-assessment an outstanding task regarding theoretical topics, it becomes even more challenging when the topics under evaluation are practical. In order to understand the implications of this new type of assessment from the viewpoint of the students, questionnaires and interviews were undertaken. In this paper the analysis of the questionnaires are presented and discussed.