813 resultados para Problem Solving Environment
Resumo:
Science application has faced problems in the process of training and cognizant thinking subjects in their actions. Thus, this work is justified in order to reorganize the contents of this area of knowledge. Thus, the research entitled "Plantation School: generating themes and teaching moments in teaching of science" was developed with a group of 6th grade of elementary school, from the planting of vegetables in tires without usefulness, with purpose of building meanings and scientific concepts to students. This work was based on sociointeractionist perspective of Vygotsky (1996, 1998), education for thematic research Freire (1983, 1996) as well as in problem-solving situations identified by the methodology of Pedagogical Moments Delizoicov and Angoti (1992; 2002 ) which together corroborated for the construction of a proposed teaching and learning, curriculum reorganization and significance of scientific concepts. Thus, the project breaks in practice with the linearity of the contents, to develop and analyze themes mediated by pedagogical moments, in order to ascertain the contribution of this methodological resource for the teacher's work, with regard to the understanding of scientific concepts by students. Thus, lesson plans were built based on the study situation "Horta School" and Themes Generators "human interaction with the environment", "photosynthesis", "Ecology and Nutrition of living beings", culminating in the work proposal developed in the classroom. From these themes, the contents were worked through pedagogical moments, which are organized into three stages: questioning, organization / systematization of knowledge and application / contextualization of knowledge. Thus, within each Theme Generator activities were planned which resulted in the involvement of students in learning scientific concepts, such as the issue of sustainability, environmental pollution, nutrition of living beings and the decomposition of organic matter. This work led and motivated student participation in Themes generators, and allows greater interaction between teacher-student and student among his peers, through dialogism established in the classroom, which promoted a more meaningful learning for students.
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This paper reports on an investigation with first year undergraduate Product Design and Management students within a School of Engineering. The students at the time of this investigation had studied fundamental engineering science and mathematics for one semester. The students were given an open ended, ill formed problem which involved designing a simple bridge to cross a river. They were given a talk on problem solving and given a rubric to follow, if they chose to do so. They were not given any formulae or procedures needed in order to resolve the problem. In theory, they possessed the knowledge to ask the right questions in order to make assumptions but, in practice, it turned out they were unable to link their a priori knowledge to resolve this problem. They were able to solve simple beam problems when given closed questions. The results show they were unable to visualise a simple bridge as an augmented beam problem and ask pertinent questions and hence formulate appropriate assumptions in order to offer resolutions.
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Revenue and production output of the United Kingdom’s Aerospace Industry (AI) is growing year on year and the need to develop new products and innovative enhancements to existing ranges is creating a critical need for the increased utilisation and sharing of employee knowledge. The capture of employee knowledge within the UK’s AI is vital if it is to retain its pre-eminent position in the global marketplace. Crowdsourcing, as a collaborative problem solving activity, allows employees to capture explicit knowledge from colleagues and teams and also offers the potential to extract previously unknown tacit knowledge in a less formal virtual environment. By using micro-blogging as a mechanism, a conceptual framework is proposed to illustrate how companies operating in the AI may improve the capture of employee knowledge to address production-related problems through the use of crowdsourcing. Subsequently, the framework has been set against the background of the product development process proposed by Maylor in 1996 and illustrates how micro-blogging may be used to crowdsource ideas and solutions during product development. Initial validation of the proposed framework is reported, using a focus group of 10 key actors from the collaborating organisation, identifying the perceived advantages, disadvantages and concerns of the framework; results indicate that the activity of micro-blogging for crowdsourcing knowledge relating to product development issues would be most beneficial during product conceptualisation due to the requirement for successful innovation.
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The hypothesis that the same educational objective, raised as cooperative or collaborative learning in university teaching does not affect students’ perceptions of the learning model, leads this study. It analyses the reflections of two students groups of engineering that shared the same educational goals implemented through two different methodological active learning strategies: Simulation as cooperative learning strategy and Problem-based Learning as a collaborative one. The different number of participants per group (eighty-five and sixty-five, respectively) as well as the use of two active learning strategies, either collaborative or cooperative, did not show differences in the results from a qualitative perspective.
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Este trabajo presenta la reelaboración de un modelo de producción de textos escritos, publicado por el Grupo Didactext en 2003. Se sitúa en un marco sociocognitivo, lingüístico y didáctico, y está concebido desde la interacción de tres dimensiones simbolizadas por círculos concéntricos recurrentes. El primer círculo corresponde al ámbito cultural: las diversas esferas de la praxis humana en las que está inmersa toda actividad de composición escrita. El segundo se refiere a los contextos de producción, de los que forman parte el contexto social, el situacional, el físico, la audiencia y el medio de composición. El tercer círculo corresponde al individuo, en el que se tiene en cuenta el papel de la memoria en la producción de un texto desde el enfoque sociocultural, la motivación, las emociones y las estrategias cognitivas y metacognitivas, dentro de las cuales se conciben seis unidades funcionales que actúan en concurrencia: acceso al conocimiento, planificación, redacción, revisión y reescritura, edición, y presentación oral. La orientación didáctica se interesa por la enseñanza y el aprendizaje de la escritura académica en las aulas, así como por la investigación de la escritura en contextos de educación.
Resumo:
In the past years, we could observe a significant amount of new robotic systems in science, industry, and everyday life. To reduce the complexity of these systems, the industry constructs robots that are designated for the execution of a specific task such as vacuum cleaning, autonomous driving, observation, or transportation operations. As a result, such robotic systems need to combine their capabilities to accomplish complex tasks that exceed the abilities of individual robots. However, to achieve emergent cooperative behavior, multi-robot systems require a decision process that copes with the communication challenges of the application domain. This work investigates a distributed multi-robot decision process, which addresses unreliable and transient communication. This process composed by five steps, which we embedded into the ALICA multi-agent coordination language guided by the PROViDE negotiation middleware. The first step encompasses the specification of the decision problem, which is an integral part of the ALICA implementation. In our decision process, we describe multi-robot problems by continuous nonlinear constraint satisfaction problems. The second step addresses the calculation of solution proposals for this problem specification. Here, we propose an efficient solution algorithm that integrates incomplete local search and interval propagation techniques into a satisfiability solver, which forms a satisfiability modulo theories (SMT) solver. In the third decision step, the PROViDE middleware replicates the solution proposals among the robots. This replication process is parameterized with a distribution method, which determines the consistency properties of the proposals. In a fourth step, we investigate the conflict resolution. Therefore, an acceptance method ensures that each robot supports one of the replicated proposals. As we integrated the conflict resolution into the replication process, a sound selection of the distribution and acceptance methods leads to an eventual convergence of the robot proposals. In order to avoid the execution of conflicting proposals, the last step comprises a decision method, which selects a proposal for implementation in case the conflict resolution fails. The evaluation of our work shows that the usage of incomplete solution techniques of the constraint satisfaction solver outperforms the runtime of other state-of-the-art approaches for many typical robotic problems. We further show by experimental setups and practical application in the RoboCup environment that our decision process is suitable for making quick decisions in the presence of packet loss and delay. Moreover, PROViDE requires less memory and bandwidth compared to other state-of-the-art middleware approaches.
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The major function of this model is to access the UCI Wisconsin Breast Cancer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classification can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems. One popular solution for anomaly detection is Artificial Immune Systems (AIS). AIS are adaptive systems inspired by theoretical immunology and observed immune functions, principles and models which are applied to problem solving. The Dendritic Cell Algorithm (DCA)[2] is an AIS algorithm that is developed specifically for anomaly detection. It has been successfully applied to intrusion detection in computer security. It is believed that agent-based modelling is an ideal approach for implementing AIS, as intelligent agents could be the perfect representations of immune entities in AIS. This model evaluates the feasibility of re-implementing the DCA in an agent-based simulation environment called AnyLogic, where the immune entities in the DCA are represented by intelligent agents. If this model can be successfully implemented, it makes it possible to implement more complicated and adaptive AIS models in the agent-based simulation environment.
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A emergência de questões tecnológicas, sociais e ambientais transformam o ensino das ciências num enorme desafio. A escassez e a contaminação da água, resultante de actividades antropogénicas, perspectiva-se hoje como um problema de futuro. Este tema, parte integrante do programa de Química do 11o Ano, inspirou uma intervenção didáctica baseada numa metodologia de resolução problemas que se pode enquadrar numa abordagem do tipo CTSA. A intervenção proposta, a partir de uma saída de campo que se concretizou na Mina de S. Domingos, teve por objectivos melhorar as aprendizagens realizadas pelos alunos e promover a mudança de atitudes face ao Ambiente e ao consumo de água em particular. Os dados recolhidos, analisados segundo métodos qualitativos e quantitativos, revelaram melhores conhecimentos e atitudes mais favoráveis relativamente à Ciência e à disciplina de Física e Química, e face ao Ambiente e ao consumo de água, reforçando a importância deste tipo de abordagens. ABSTRACT; The emergent technology, social and environmental issues are making the science teaching a huge challenge. The shortage and the contamination of water, as result of anthropogenic activities, are faced today like a future problem. This theme is part of the Chemistry subject curriculum of the eleventh grade level and it inspired a didactic intervention based upon a problem solving methodology that can be framed in a STSE approach. The goals of the proposed intervention, taking Mina de S. Domingos for a field trip, meant to improve the students' learnings and to promote a change of attitudes in relation to the environment and to the water consumption, in particular. The collected data, analyzed according to qualitative and quantitative methods, showed better knowledge and more favorable attitudes towards Science and Physics and Chemistry, as well as regarding the environment and water consumption, enhancing the importance of this kind of approach.
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Requirements specification has long been recognized as critical activity in software development processes because of its impact on project risks when poorly performed. A large amount of studies addresses theoretical aspects, propositions of techniques, and recommended practices for Requirements Engineering (RE). To be successful, RE have to ensure that the specified requirements are complete and correct what means that all intents of the stakeholders in a given business context are covered by the requirements and that no unnecessary requirement was introduced. However, the accurate capture the business intents of the stakeholders remains a challenge and it is a major factor of software project failures. This master’s dissertation presents a novel method referred to as “Problem-Based SRS” aiming at improving the quality of the Software Requirements Specification (SRS) in the sense that the stated requirements provide suitable answers to real customer ́s businesses issues. In this approach, the knowledge about the software requirements is constructed from the knowledge about the customer ́s problems. Problem-Based SRS consists in an organization of activities and outcome objects through a process that contains five main steps. It aims at supporting the software requirements engineering team to systematically analyze the business context and specify the software requirements, taking also into account a first glance and vision of the software. The quality aspects of the specifications are evaluated using traceability techniques and axiomatic design principles. The cases studies conducted and presented in this document point out that the proposed method can contribute significantly to improve the software requirements specification.
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La conscience de l’environnement d’affaires est définie comme l’ensemble des savoirs détenus par les employés non-cadres par rapport à l’environnement d’affaires interne et externe de leur organisation. Elle se manifeste lorsque l’employé est impliqué dans la prise de décision ou résolution de problème affectant l’entreprise. Ce travail a comme objectifs la validation d’une échelle de mesure du concept à l’étude, ainsi que la vérification de sa validité de construit et nomologique. L’ensemble initial d’items de l’échelle de mesure a été déterminé suite à des entrevues avec les employés d’organisations participantes (Gauvreau-Jean, 2008). L’ensemble initial de 40 items a été testé avec un échantillon de 508 employés d’une manufacture. Suite à des ajustements, l’échelle modifiée couvre quatre dimensions du construit. L’adéquation de son contenu a ensuite été mise à l’épreuve par deux groupes cibles et deux évaluations expertes (Lessard, 2014). Finalement, dans le cadre de notre étude, la validité du contenu et nomologique de l’échelle modifiée (contenant 24 items) a été testée avec 330 employés de première ligne de quatre entreprises. Les quatre dimensions du construit furent supportées, la fiabilité de l’échelle était haute, puis les hypothèses reliant la conscience de l’environnement avec les caractéristiques au travail, l’évaluation de la performance par un superviseur et l’engagement affectif furent supportées également. Un autre sondage complété par les gestionnaires (n=43) avait comme but une évaluation de la performance contextuelle des employés supervisés. Le développement de l’échelle à 24 items sur la conscience de l’environnement d’affaires pourrait répondre aux questions portant sur la participation de l’employé et l’efficacité organisationnelle.
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The dissertation reports on two studies. The purpose of Study I was to develop and evaluate a measure of cognitive competence (the Critical Problem Solving Skills Scale – Qualitative Extension) using Relational Data Analysis (RDA) with a multi-ethnic, adolescent sample. My study builds on previous work that has been conducted to provide evidence for the reliability and validity of the RDA framework in evaluating youth development programs (Kurtines et al., 2008). Inter-coder percent agreement among the TOC and TCC coders for each of the category levels was moderate to high, with a range of .76 to .94. The Fleiss’ kappa across all category levels was from substantial agreement to almost perfect agreement, with a range of .72 to .91. The correlation between the TOC and the TCC demonstrated medium to high correlation, with a range of r(40)=.68, p Study II reports an investigation of a positive youth development program using an Outcome Mediation Cascade (OMC) evaluation model, an integrated model for evaluating the empirical intersection between intervention and developmental processes. The Changing Lives Program (CLP) is a community supported positive youth development intervention implemented in a practice setting as a selective/indicated program for multi-ethnic, multi-problem at risk youth in urban alternative high schools in the Miami Dade County Public Schools (M-DCPS). The 259 participants for this study were drawn from the CLP’s archival data file. The study used a structural equation modeling approach to construct and evaluate the hypothesized model. Findings indicated that the hypothesized model fit the data (χ2 (7) = 5.651, p = .83; RMSEA = .00; CFI = 1.00; WRMR = .319). My study built on previous research using the OMC evaluation model (Eichas, 2010), and the findings are consistent with the hypothesis that in addition to having effects on targeted positive outcomes, PYD interventions are likely to have progressive cascading effects on untargeted problem outcomes that operate through effects on positive outcomes.
Resumo:
La conscience de l’environnement d’affaires est définie comme l’ensemble des savoirs détenus par les employés non-cadres par rapport à l’environnement d’affaires interne et externe de leur organisation. Elle se manifeste lorsque l’employé est impliqué dans la prise de décision ou résolution de problème affectant l’entreprise. Ce travail a comme objectifs la validation d’une échelle de mesure du concept à l’étude, ainsi que la vérification de sa validité de construit et nomologique. L’ensemble initial d’items de l’échelle de mesure a été déterminé suite à des entrevues avec les employés d’organisations participantes (Gauvreau-Jean, 2008). L’ensemble initial de 40 items a été testé avec un échantillon de 508 employés d’une manufacture. Suite à des ajustements, l’échelle modifiée couvre quatre dimensions du construit. L’adéquation de son contenu a ensuite été mise à l’épreuve par deux groupes cibles et deux évaluations expertes (Lessard, 2014). Finalement, dans le cadre de notre étude, la validité du contenu et nomologique de l’échelle modifiée (contenant 24 items) a été testée avec 330 employés de première ligne de quatre entreprises. Les quatre dimensions du construit furent supportées, la fiabilité de l’échelle était haute, puis les hypothèses reliant la conscience de l’environnement avec les caractéristiques au travail, l’évaluation de la performance par un superviseur et l’engagement affectif furent supportées également. Un autre sondage complété par les gestionnaires (n=43) avait comme but une évaluation de la performance contextuelle des employés supervisés. Le développement de l’échelle à 24 items sur la conscience de l’environnement d’affaires pourrait répondre aux questions portant sur la participation de l’employé et l’efficacité organisationnelle.
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Os sistemas biológicos são surpreendentemente flexíveis pra processar informação proveniente do mundo real. Alguns organismos biológicos possuem uma unidade central de processamento denominada de cérebro. O cérebro humano consiste de 10(11) neurônios e realiza processamento inteligente de forma exata e subjetiva. A Inteligência Artificial (IA) tenta trazer para o mundo da computação digital a heurística dos sistemas biológicos de várias maneiras, mas, ainda resta muito para que isso seja concretizado. No entanto, algumas técnicas como Redes neurais artificiais e lógica fuzzy tem mostrado efetivas para resolver problemas complexos usando a heurística dos sistemas biológicos. Recentemente o numero de aplicação dos métodos da IA em sistemas zootécnicos tem aumentado significativamente. O objetivo deste artigo é explicar os princípios básicos da resolução de problemas usando heurística e demonstrar como a IA pode ser aplicada para construir um sistema especialista para resolver problemas na área de zootecnia.
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A sociedade contemporânea ocidental estendeu o período da adolescência, que não é mais encarada apenas como uma preparação para a vida adulta, mas passou a adquirir sentido em si mesma, como um estágio do ciclo vital. O presente artigo procura descrever como os adolescentes eram vistos e tratados, desde a antiguidade até os dias de hoje, a partir de textos literários ou filosóficos e estudos científicos. O material bibliográfico a respeito da adolescência caracteriza-se por três etapas distintas: a descrição dos padrões de comportamento, ajustamento pessoal e relacionamento; a resolução de problemas reais por meio do conhecimento científico; e o desenvolvimento positivo do indivíduo, considerando os adolescentes como o futuro da humanidade.