743 resultados para Inter-project Learning


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Relatório de Estágio apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciências da Comunicação, área de especialização em Comunicação Estratégica

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Submitted in accordance with the requirements for the degree of Doctor of Philosophy (Doutoramento em co-tutela)The University of Leeds School of Education

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This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The purpose of this project was to analyze Galp’s loyalty approach in the Portuguese fuel market given the industry context, namely the entry of hypermarket and the resulting increase in competitiveness. The team performed analyses based on analytical models, qualitative research and internal interviews in order to assess Galp’s potential in the field of loyalty and consumers’ behavior. The final recommendations were based on incremental improvements to the Galp’s existing loyalty tool and an innovative paradigm change of the approach to loyalty.

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Higher education in Portugal, in the last forty years, has undergone profound changes with the enlargement of public higher education network, the appearance of new institutions, the quantity and the heterogeneity of students. The implementation of the Bologna Process in European community countries led to the redesign of higher education Portuguese courses as well as their corresponding curricula. In recent years, the use of Project-led education was one of the most significant changes in teaching and learning, particularly in engineering in higher education in Portugal. This teaching methodology encourages students and teachers to undertake new roles, new responsibilities and a new learning perspective. This study aims at understanding whether the role of the tutor is to be suitable to the needs and expectations of Project-led education students. These changes however are not only structural. At the University of Minho, new teaching and learning methodologies were adopted, which could guide the training of professionals on to the twenty-first century. The opportunity arising from the implementation of Project-led education in Engineering methodology was used in the University of Minho’s courses. This teaching method is intended to provide students with educational support programs that benefit the academic performance, allowing the opportunity to upgrade, train and develop the ability to study and learn more effectively. Through the Project-led education it is possible to provide students with techniques and procedures and develop the ability to communicate orally and in writing. Students and teachers have assumed new roles in the teaching-learning process allowing in one hand the students to explore, discover and question themselves about some knowledge and on the other hand the teachers to change to a tutor, a companion and to a student project guide. Therefore, surveys were analyzed, comprising questions about the most significant contribution of the tutor as well as if there are some initial expectations that have not been foreseen by the tutor.

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Forming suitable learning groups is one of the factors that determine the efficiency of collaborative learning activities. However, only a few studies were carried out to address this problem in the mobile learning environments. In this paper, we propose a new approach for an automatic, customized, and dynamic group formation in Mobile Computer Supported Collaborative Learning (MCSCL) contexts. The proposed solution is based on the combination of three types of grouping criteria: learner’s personal characteristics, learner’s behaviours, and context information. The instructors can freely select the type, the number, and the weight of grouping criteria, together with other settings such as the number, the size, and the type of learning groups (homogeneous or heterogeneous). Apart from a grouping mechanism, the proposed approach represents a flexible tool to control each learner, and to manage the learning processes from the beginning to the end of collaborative learning activities. In order to evaluate the quality of the implemented group formation algorithm, we compare its Average Intra-cluster Distance (AID) with the one of a random group formation method. The results show a higher effectiveness of the proposed algorithm in forming homogenous and heterogeneous groups compared to the random method.

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Coagulase-negative staphylococci (CoNS) are common bacterial colonisers of the human skin. They are often involved in nosocomial infections due to biofilm formation in indwelling medical devices. While biofilm formation has been extensively studied in Staphylococcus epidermidis, little is known regarding other CoNS species. Here, biofilms from six different CoNS species were characterised in terms of biofilm composition and architecture. Interestingly, the ability to form a thick biofilm was not associated with any particular species, and high variability on biofilm accumulation was found within the same species. Cell viability assays also revealed different proportions of live and dead cells within biofilms formed by different species, although this parameter was particularly similar at the intra-species level. On the other hand, biofilm disruption assays demonstrated important inter- and intra-species differences regarding extracellular matrix composition. Lastly, confocal laser scanning microscopy (CLSM) experiments confirmed this variability, highlighting important differences and common features of CoNS biofilms. We hypothesised that the biofilm formation heterogeneity observed was rather associated with biofilm matrix composition than with cells themselves. Additionally, our results indicate that polysaccharides, DNA and proteins are fundamental pieces in the process of CoNS biofilm formation.

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Social intelligence is a favorable condition for career decision-making and development. The social intelligence indices of Portuguese students in school years prior to a career transition are characterized and intra and interindividual differences are analyzed. Participants were 1095 students (552, 50.4% women) with a mean age of 14.78 years (SD = 1.86), in the 8th (542, 49.5%), 10th (295, 26.9%) and 11th (258, 23.6%) grades. The Cognitive Test of Social Intelligence (PCIS) was administered at two moments, six months apart. Results indicate that the 8th grade obtained higher average scores in Problem Solving, Motivation and Self-confidence (time 1), while the 10th grade obtained better results in Problem Solving, Motivation and Familiarity (time 2). Between the assessment moments, all school years register an increase in Problem Solving and Self-confidence in social situations. These results constitute favorable psychological conditions for the promotion of ethical questioning in career guidance interventions.

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Propolis is a chemically complex biomass produced by honeybees (Apis mellifera) from plant resins added of salivary enzymes, beeswax, and pollen. The biological activities described for propolis were also identified for donor plants resin, but a big challenge for the standardization of the chemical composition and biological effects of propolis remains on a better understanding of the influence of seasonality on the chemical constituents of that raw material. Since propolis quality depends, among other variables, on the local flora which is strongly influenced by (a)biotic factors over the seasons, to unravel the harvest season effect on the propolis chemical profile is an issue of recognized importance. For that, fast, cheap, and robust analytical techniques seem to be the best choice for large scale quality control processes in the most demanding markets, e.g., human health applications. For that, UV-Visible (UV-Vis) scanning spectrophotometry of hydroalcoholic extracts (HE) of seventy-three propolis samples, collected over the seasons in 2014 (summer, spring, autumn, and winter) and 2015 (summer and autumn) in Southern Brazil was adopted. Further machine learning and chemometrics techniques were applied to the UV-Vis dataset aiming to gain insights as to the seasonality effect on the claimed chemical heterogeneity of propolis samples determined by changes in the flora of the geographic region under study. Descriptive and classification models were built following a chemometric approach, i.e. principal component analysis (PCA) and hierarchical clustering analysis (HCA) supported by scripts written in the R language. The UV-Vis profiles associated with chemometric analysis allowed identifying a typical pattern in propolis samples collected in the summer. Importantly, the discrimination based on PCA could be improved by using the dataset of the fingerprint region of phenolic compounds ( = 280-400m), suggesting that besides the biological activities of those secondary metabolites, they also play a relevant role for the discrimination and classification of that complex matrix through bioinformatics tools. Finally, a series of machine learning approaches, e.g., partial least square-discriminant analysis (PLS-DA), k-Nearest Neighbors (kNN), and Decision Trees showed to be complementary to PCA and HCA, allowing to obtain relevant information as to the sample discrimination.

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There is currently an increasing demand for robots able to acquire the sequential organization of tasks from social learning interactions with ordinary people. Interactive learning-by-demonstration and communication is a promising research topic in current robotics research. However, the efficient acquisition of generalized task representations that allow the robot to adapt to different users and contexts is a major challenge. In this paper, we present a dynamic neural field (DNF) model that is inspired by the hypothesis that the nervous system uses the off-line re-activation of initial memory traces to incrementally incorporate new information into structured knowledge. To achieve this, the model combines fast activation-based learning to robustly represent sequential information from single task demonstrations with slower, weight-based learning during internal simulations to establish longer-term associations between neural populations representing individual subtasks. The efficiency of the learning process is tested in an assembly paradigm in which the humanoid robot ARoS learns to construct a toy vehicle from its parts. User demonstrations with different serial orders together with the correction of initial prediction errors allow the robot to acquire generalized task knowledge about possible serial orders and the longer term dependencies between subgoals in very few social learning interactions. This success is shown in a joint action scenario in which ARoS uses the newly acquired assembly plan to construct the toy together with a human partner.

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Tese de Doutoramento em Engenharia de Eletrónica e de Computadores

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Las didácticas específicas de las ciencias naturales revelan diferentes problemáticas en su enseñanza y aprendizaje en los diferentes niveles del sistema educativo. En particular, en las clases de ciencias la interacción discursiva docente alumnos adquiere relevancia, ya que el proceso de comunicación del conocimiento es uno de los pilares didácticos, junto a la trasposición del mismo. Especificamente, en este proyecto nos abocamos a aquellas intervenciones de docentes y alumnos que se relacionan con la construcción del conocimiento biológico y químico. El proyecto se enmarca en una actual linea de trabajo que indaga sobre las dificultades en los abordajes del conocimiento científico en las aulas, las características del discurso entre docentes y alumnos, las habilidades y dificultades en la comprensión de los enunciados de problemas y las características de los textos que se utilizan en las clases. Se focaliza este estudio en casos que intentan dar respuesta a tres temáticas, agrupadas en un conjunto de situaciones de investigación relacionadas con la interacción discursiva docente-alumno, retomando el rol del docente al hablar, guiar o diseñar las situaciones de referencia para el aprendizaje de los alumnos. Los casos son: 1- En cuanto a las concepciones sobre diversidad biológica en estudiantes de escuela secundaria y en textos académicos, atendemos a cómo la escuela presenta los contenidos ecológicos como un conjunto de dogmas y conceptos estáticos. Además suelen simplificarse conceptualmente y presentarse poco actualizados. Es por ello que se planea estudiar las concepciones y actitudes de los alumnos de secundaria sobre la biodiversidad, cómo estas dificultan su comprensión y los textos usados en relación a la promoción de la transposición didáctica. 2- En relación a cómo se elabora el patrón temático del tema célula en clases de Biología, se analizarán las diferentes estrategias de significados y de desarrollo temático, que se emplean en la comunicación aulica. Se intentará establecer si hay cambios en el desarrollo temático a medida que se avanza en la escolaridad. Esto es porque se puede apreciar que muchos de los problemas de aprendizaje del alumnado se deben a un desconocimiento tanto del patrón temático como del patrón estructural de la ciencia, siendo preciso evocar los patrones temáticos que se quieren utilizar, para construir un conocimiento compartido. 3-Finalmente, en los enunciados de problemas de Química, se analizarán las dificultades de comprensión lectora de alumnos de Ingeniería. Los docentes frecuentemente atribuyen los problemas a deficiencias en la instrucción recibida, sin considerarse los conocimientos previos del alumno, los obstáculos conceptuales originados en el tema, las deficiencias en la habilidad lectora, el tipo textual predominante en la consigna, el formato en el que se escribió la consigna y los factores personales, etc., siendo que la comprensión del enunciado de una consigna de trabajo condiciona fuertemente la posibilidad de su resolución. Los tres casos utilizarán metodologías cualitaritas que incluyan análisis de contenido en discursos orales y escritos. Los datos se registrarán desde observación no participante, registro etnográfico y con grabaciones de audio. Se espera contribuir al conocimiento, realizando aportes a la formación docente en tanto las estrategias discursivas que se emplean en el aula, en forma oral y en la escrita, conocer concepciones que dificultan o favoren la construcción del conocimiento científico, entre otras. Los productos de estos estudios estarán integrados por nuevos desarrollos para la formación docente, publicaciones científicas de impacto nacional e internacional, presentaciones a congresos, materiales didácticos y divulgativos, dictado de seminarios y/o cursos, redacción de informes a las escuelas intervinientes.. The specific Natural Sciences didactics show different problems in teaching and learning along the school system. In particular, the discourse used to communicate knowledge in Science lessons becomes important. With this project we will focus on the teachers and students actions regarding the construction of biological and chemical knowledge. This project attempts to answer these issues and brings together a range of research situations related to teacher-student interaction, through discourse, taking up the role of the teacher to speak, to plan and to guide student learning. We will study the ideas and attitudes of high school students about biodiversity that make difficult its understanding and the textbooks used in relation to promotion of the didactic transposition. In addition, regarding how the thematic pattern in biology classes is costructed, it will be analyzed the different meaning and thematic development strategies that are used in communication. We will attempt to establish whether there are any changes in the thematic development throughout high school education. Finally, we will analyze the reading comprehension problems in engineering students. Teachers frequently attribute these issues to deficiencies in prior education, without considering the students background, the conceptual obstacles arising in the field, the format in which the prompt is written, personal factors, etc., keeping in mind that the outcome of an activity is strictly dependant con the prompt understanding. We expect to make contributions to the teacher education in both the discourse strategies used in the classroom, orally and in writing, to learn about the conceptions that hinder or favor the knowledge construction, among others. The products of this study will be national and international impact scientific publications, conference presentations, popular science publications, seminars courses and reports to the schools involeved.

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Driven by concerns about rising energy costs, security of supply and climate change a new wave of Sustainable Energy Technologies (SET’s) have been embraced by the Irish consumer. Such systems as solar collectors, heat pumps and biomass boilers have become common due to government backed financial incentives and revisions of the building regulations. However, there is a deficit of knowledge and understanding of how these technologies operate and perform under Ireland’s maritime climate. This AQ-WBL project was designed to address both these needs by developing a Data Acquisition (DAQ) system to monitor the performance of such technologies and a web-based learning environment to disseminate performance characteristics and supplementary information about these systems. A DAQ system consisting of 108 sensors was developed as part of Galway-Mayo Institute of Technology’s (GMIT’s) Centre for the Integration of Sustainable EnergyTechnologies (CiSET) in an effort to benchmark the performance of solar thermal collectors and Ground Source Heat Pumps (GSHP’s) under Irish maritime climate, research new methods of integrating these systems within the built environment and raise awareness of SET’s. It has operated reliably for over 2 years and has acquired over 25 million data points. Raising awareness of these SET’s is carried out through the dissemination of the performance data through an online learning environment. A learning environment was created to provide different user groups with a basic understanding of a SET’s with the support of performance data, through a novel 5 step learning process and two examples were developed for the solar thermal collectors and the weather station which can be viewed at http://www.kdp 1 .aquaculture.ie/index.aspx. This online learning environment has been demonstrated to and well received by different groups of GMIT’s undergraduate students and plans have been made to develop it further to support education, awareness, research and regional development.

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This project was funded under the Applied Research Grants Scheme administered by Enterprise Ireland. The project was a partnership between Galway - Mayo Institute of Technology and an industrial company, Tyco/Mallinckrodt Galway. The project aimed to develop a semi - automatic, self - learning pattern recognition system capable of detecting defects on the printed circuits boards such as component vacancy, component misalignment, component orientation, component error, and component weld. The research was conducted in three directions: image acquisition, image filtering/recognition and software development. Image acquisition studied the process of forming and digitizing images and some fundamental aspects regarding the human visual perception. The importance of choosing the right camera and illumination system for a certain type of problem has been highlighted. Probably the most important step towards image recognition is image filtering, The filters are used to correct and enhance images in order to prepare them for recognition. Convolution, histogram equalisation, filters based on Boolean mathematics, noise reduction, edge detection, geometrical filters, cross-correlation filters and image compression are some examples of the filters that have been studied and successfully implemented in the software application. The software application developed during the research is customized in order to meet the requirements of the industrial partner. The application is able to analyze pictures, perform the filtering, build libraries, process images and generate log files. It incorporates most of the filters studied and together with the illumination system and the camera it provides a fully integrated framework able to analyze defects on printed circuit boards.

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En aquest projecte s'ha realitzat l'anàlisi, disseny i implementació d'un protocol de migració d'agents software basat en l'enviament del codi dels agents fragmentat en múltiples missatges. Aquest protocol es troba dins d'una arquitectura de migració multi-protocol per a la mobilitat d'agents entre plataformes JADE. Finalment, s'ha realitzat un estudi que compara el rendiment assolit pel protocol i les prestacions que aporta.