Motivação para a aprendizagem de ferramentas de utilização do arco

Relatório de Estágio para a obtenção do grau de Mestre em Ensino da Música

A Soft Computing Approach to Quality Evaluation of General Chemistry Learning in Higher Education

In contemporary societies higher education must shape individuals able to solve problems in a workable and simpler manner and, therefore, a multidisciplinary view of the problems, with insights in disciplines like psychology, mathematics or computer science becomes mandatory. Undeniably, the great challenge for teachers is to provide a comprehensive training in General Chemistry with high standards of quality, and aiming not only at the promotion of the student’s academic success, but also at the understanding of the competences/skills required to their future doings. Thus, this work will be focused on the development of an intelligent system to assess the Quality-of-General-Chemistry-Learning, based on factors related with subject, teachers and students.

Evaluation of the quality of the teaching-learning process in undergraduate courses in Nursing

Objective: to identify aspects of improvement of the quality of the teaching-learning process through the analysis of tools that evaluated the acquisition of skills by undergraduate students of Nursing. Method: prospective longitudinal study conducted in a population of 60 second-year Nursing students based on registration data, from which quality indicators that evaluate the acquisition of skills were obtained, with descriptive and inferential analysis. Results: nine items were identified and nine learning activities included in the assessment tools that did not reach the established quality indicators (p<0.05). There are statistically significant differences depending on the hospital and clinical practices unit (p<0.05). Conclusion: the analysis of the evaluation tools used in the article "Nursing Care in Welfare Processes" of the analyzed university undergraduate course enabled the detection of the areas for improvement in the teaching-learning process. The challenge of education in nursing is to reach the best clinical research and educational results, in order to provide improvements to the quality of education and health care.

Teaching Communications, Cultures, Connections, Comparisons, and Communities with Multimedia: A University-Middle School Service-Learning Project

Se describe el uso de tecnología en forma de presentaciones de multimedia para facilitar la enseñanza de las Normas para el Aprendizaje de una Lengua Extranjera del Concilio Americano para la Enseñanza de Lenguas extranjeras. Las normas abarcan las comunicaciones, las culturas, las conexiones, las comparaciones y las comunidades. El estudiantado universitario aprende a crear, con multimedia, presentaciones sobre un tema cultural en la lengua meta. El componente de aprendizaje por servicio comunitario se fundamenta en las presentaciones creadas para estudiantes de colegio, quienes tienen acceso a las presentaciones en un sitio web de la universidad.A description is provided of how the use of technology in the form of multimedia presentations enhances the teaching of the Five C Standards for Foreign Language Learning of the American Council on the Teaching of Foreign Languages: communications, cultures, connections, comparisons, and communities. University students learn to create multimedia presentations on a cultural topic in the target language. The service-learning component provides the multimedia presentations for middle-school students who access them from the university website.

Computer vision in aseptic pharmaceutical manufacturing: a deep learning-based approach to vial inspection and pack formation during a lyophilizer loading cycle

Vision systems are powerful tools playing an increasingly important role in modern industry, to detect errors and maintain product standards. With the enlarged availability of affordable industrial cameras, computer vision algorithms have been increasingly applied in industrial manufacturing processes monitoring. Until a few years ago, industrial computer vision applications relied only on ad-hoc algorithms designed for the specific object and acquisition setup being monitored, with a strong focus on co-designing the acquisition and processing pipeline. Deep learning has overcome these limits providing greater flexibility and faster re-configuration. In this work, the process to be inspected consists in vials’ pack formation entering a freeze-dryer, which is a common scenario in pharmaceutical active ingredient packaging lines. To ensure that the machine produces proper packs, a vision system is installed at the entrance of the freeze-dryer to detect eventual anomalies with execution times compatible with the production specifications. Other constraints come from sterility and safety standards required in pharmaceutical manufacturing. This work presents an overview about the production line, with particular focus on the vision system designed, and about all trials conducted to obtain the final performance. Transfer learning, alleviating the requirement for a large number of training data, combined with data augmentation methods, consisting in the generation of synthetic images, were used to effectively increase the performances while reducing the cost of data acquisition and annotation. The proposed vision algorithm is composed by two main subtasks, designed respectively to vials counting and discrepancy detection. The first one was trained on more than 23k vials (about 300 images) and tested on 5k more (about 75 images), whereas 60 training images and 52 testing images were used for the second one.

Ecological Literacy And Beyond: Problem-based Learning For Future Professionals.

Ecological science contributes to solving a broad range of environmental problems. However, lack of ecological literacy in practice often limits application of this knowledge. In this paper, we highlight a critical but often overlooked demand on ecological literacy: to enable professionals of various careers to apply scientific knowledge when faced with environmental problems. Current university courses on ecology often fail to persuade students that ecological science provides important tools for environmental problem solving. We propose problem-based learning to improve the understanding of ecological science and its usefulness for real-world environmental issues that professionals in careers as diverse as engineering, public health, architecture, social sciences, or management will address. Courses should set clear learning objectives for cognitive skills they expect students to acquire. Thus, professionals in different fields will be enabled to improve environmental decision-making processes and to participate effectively in multidisciplinary work groups charged with tackling environmental issues.

Educação a distância e efeitos em cadeia

This article is divided into two parts. The first presents two abstract arguments that constitute the starting point for the development of the second part, which is directed towards discussing some aspects of the distance learning policies, i.e., the role of public authorities in encouraging and shaping this type of education. First of all, it is intended to establish some assumptions to understand the emergence of this phenomenon and some of its conditioning factors and consequences; then to suggest some analytical tools to allow us to reflect on public policy in this area.

Proposta metodológica utilizando ferramentas de qualidade na avaliação do processo de pulverização

The present work aimed to create a methodology to evaluate the pulverization process with the use of quality tools. It was listed the primary factors, secondary factors, tertiary factors and, with the check list tool support, the list was elaborated. It was evaluated the factors labor, agriculture machine, material and method of 32 pulverization process before pesticide application, in that each factor received a punctuation, having as total sum of 750 points. The medium punctuation to the factors labor, agriculture machine, material and method was 78; 211; 49; 20 and 94 points, respectively. The sum of the factors points for the 32 processes, the minimum value found was 230 and maximum was 620 points. With the proposed methodology, can be identify which common causes of the processes can affect its result.

Flicker perimetry in healthy subjects: influence of age and gender, learning effect and short-term fluctuation

PURPOSE: To determine the mean critical fusion frequency and the short-term fluctuation, to analyze the influence of age, gender, and the learning effect in healthy subjects undergoing flicker perimetry. METHODS: Study 1 - 95 healthy subjects underwent flicker perimetry once in one eye. Mean critical fusion frequency values were compared between genders, and the influence of age was evaluated using linear regression analysis. Study 2 - 20 healthy subjects underwent flicker perimetry 5 times in one eye. The first 3 sessions were separated by an interval of 1 to 30 days, whereas the last 3 sessions were performed within the same day. The first 3 sessions were used to investigate the presence of a learning effect, whereas the last 3 tests were used to calculate short-term fluctuation. RESULTS: Study 1 - Linear regression analysis demonstrated that mean global, foveal, central, and critical fusion frequency per quadrant significantly decreased with age (p<0.05).There were no statistically significant differences in mean critical fusion frequency values between males and females (p>0.05), with the exception of the central area and inferonasal quadrant (p=0.049 and p=0.011, respectively), where the values were lower in females. Study 2 - Mean global (p=0.014), central (p=0.008), and peripheral (p=0.03) critical fusion frequency were significantly lower in the first session compared to the second and third sessions. The mean global short-term fluctuation was 5.06±1.13 Hz, the mean interindividual and intraindividual variabilities were 11.2±2.8% and 6.4±1.5%, respectively. CONCLUSION: This study suggests that, in healthy subjects, critical fusion frequency decreases with age, that flicker perimetry is associated with a learning effect, and that a moderately high short-term fluctuation is expected.

Sensitivity and specificity of machine learning classifiers for glaucoma diagnosis using Spectral Domain OCT and standard automated perimetry

PURPOSE: To evaluate the sensitivity and specificity of machine learning classifiers (MLCs) for glaucoma diagnosis using Spectral Domain OCT (SD-OCT) and standard automated perimetry (SAP). METHODS: Observational cross-sectional study. Sixty two glaucoma patients and 48 healthy individuals were included. All patients underwent a complete ophthalmologic examination, achromatic standard automated perimetry (SAP) and retinal nerve fiber layer (RNFL) imaging with SD-OCT (Cirrus HD-OCT; Carl Zeiss Meditec Inc., Dublin, California). Receiver operating characteristic (ROC) curves were obtained for all SD-OCT parameters and global indices of SAP. Subsequently, the following MLCs were tested using parameters from the SD-OCT and SAP: Bagging (BAG), Naive-Bayes (NB), Multilayer Perceptron (MLP), Radial Basis Function (RBF), Random Forest (RAN), Ensemble Selection (ENS), Classification Tree (CTREE), Ada Boost M1(ADA),Support Vector Machine Linear (SVML) and Support Vector Machine Gaussian (SVMG). Areas under the receiver operating characteristic curves (aROC) obtained for isolated SAP and OCT parameters were compared with MLCs using OCT+SAP data. RESULTS: Combining OCT and SAP data, MLCs' aROCs varied from 0.777(CTREE) to 0.946 (RAN).The best OCT+SAP aROC obtained with RAN (0.946) was significantly larger the best single OCT parameter (p<0.05), but was not significantly different from the aROC obtained with the best single SAP parameter (p=0.19). CONCLUSION: Machine learning classifiers trained on OCT and SAP data can successfully discriminate between healthy and glaucomatous eyes. The combination of OCT and SAP measurements improved the diagnostic accuracy compared with OCT data alone.

Modelo de inclusão digital para construção do conhecimento em qualidade de vida e atividade fisica

Universidade Estadual de Campinas. Faculdade de Educação Física

Desenvolvimento de ferramentas de análise de desempenho de atletas em 3 diferentes modalidades : Handebol, Provas Combinadas e Salto com Vara

Universidade Estadual de Campinas. Faculdade de Educação Física

Pedagogia do esporte : pressupostos para uma teoria da avaliação da aprendizagem = Sport pedagogy: presuppositions for a learning assessment theory

Universidade Estadual de Campinas . Faculdade de Educação Física

O esporte paralímpico na formação do profissional em educação física : percepção de professores e acadêmicos = The paralympic sport in physical education professional forming: perceptions of teachers and students

Universidade Estadual de Campinas . Faculdade de Educação Física

A reabilitação neuropsicológica sob a ótica da psicologia comportamental

CONTEXTO: A reabilitação neuropsicológica é um dos componentes do tratamento de clientes* com lesões cerebrais e/ou distúrbios neurológicos e neuropsiquiátricos. Os programas de reabilitação podem se beneficiar do emprego de procedimentos** comportamentais, principalmente porque a ciência da análise do comportamento dispõe de ferramentas valiosas para a modificação do comportamento e o auxílio nos processos de aprendizagem. OBJETIVOS: Este artigo objetiva discursar sobre a interação entre as áreas de reabilitação neuropsicológica e análise do comportamento. MÉTODOS: Inicia-se esta empreitada apresentando o que é a reabilitação neuropsicológica, passando pela clarificação do emprego de procedimentos comportamentais tanto na avaliação como na reabilitação neuropsicológicas e quais os cuidados necessários na preparação de um programa. RESULTADOS: Objetiva-se, assim, despertar o interesse pelo desenvolvimento de novos estudos neste vasto campo e chamar a atenção dos neuropsicólogos para a importância da aquisição de conhecimentos básicos em análise do comportamento. CONCLUSÃO: Isso parece ser conseqüência não da escassez de estudos sobre o emprego de procedimentos comportamentais em programas de reabilitação neuropsicológica, mas sim da falta de percepção, por parte dos profissionais de reabilitação, de que muitos procedimentos por eles empregados são comportamentais. Ou pode ainda refletir um desconhecimento sobre a existência da vertente da neuropsicologia comportamental, ou ainda ser apenas reflexo dos preconceitos de que a análise do comportamento é alvo.