776 resultados para Computer-supported collaborative learning
Resumo:
The exponential increase in clinical research has profoundly changed medical sciences. Evidence that has accumulated in the past three decades from clinical trials has led to the proposal that clinical care should not be based solely on clinical expertise and patient values, and should integrate robust data from systematic research. As a consequence, clinical research has become more complex and methods have become more rigorous, and evidence is usually not easily translated into clinical practice. Therefore, the instruction of clinical research methods for scientists and clinicians must adapt to this new reality. To address this challenge, a global distance-learning clinical research-training program was developed, based on collaborative learning, the pedagogical goal of which was to develop critical thinking skills in clinical research. We describe and analyze the challenges and possible solutions of this course after 5 years of experience (2008-2012) with this program. Through evaluation by students and faculty, we identified and reviewed the following challenges of our program: 1) student engagement and motivation, 2) impact of heterogeneous audience on learning, 3) learning in large groups, 4) enhancing group learning, 5) enhancing social presence, 6) dropouts, 7) quality control, and 8) course management. We discuss these issues and potential alternatives with regard to our research and background.
Resumo:
Relatório de estágio para obtenção do grau de mestre em Educação e Comunicação Multimédia
Resumo:
Dissertação apresentada à Escola Superior de Educação de Santarém para obtenção do grau de mestre em Ciências de Educação na especialização de Supervisão e Orientação Pedagógica
Resumo:
Relatório de estágio apresentado à Escola Superior de Educação do Instituto Politécnico de Santarém para obtenção do grau de mestre em Educação e Comunicação Multimédia
Resumo:
Relatório de estágio apresentado à Escola Superior de Educação de Santarém para cumprimento dos requisitos necessários à obtenção do grau de mestre em Educação e Comunicação Multimédia
Resumo:
Relatório de estágio apresentado à Escola Superior de Educação do Instituto Politécnico de Santarém para obtenção do grau de mestre em Educação e Comunicação Multimédia
Resumo:
Hand detection on images has important applications on person activities recognition. This thesis focuses on PASCAL Visual Object Classes (VOC) system for hand detection. VOC has become a popular system for object detection, based on twenty common objects, and has been released with a successful deformable parts model in VOC2007. A hand detection on an image is made when the system gets a bounding box which overlaps with at least 50% of any ground truth bounding box for a hand on the image. The initial average precision of this detector is around 0.215 compared with a state-of-art of 0.104; however, color and frequency features for detected bounding boxes contain important information for re-scoring, and the average precision can be improved to 0.218 with these features. Results show that these features help on getting higher precision for low recall, even though the average precision is similar.
Resumo:
Relatório de estágio apresentado à Escola Superior de Educação de Santarém para cumprimento dos requisitos necessários à obtenção do grau de mestre em Educação e Comunicação Multimédia
Resumo:
This article tries to reflect about skills that librarian or information specialists should develop to design an online course. Define distance education, online education, and collaborative learning. Establish the importance of community sense. Describe the process to design online courses. Finally, compare the Mexican Librarianship and Information Sciences Schools graduate profiles with the skills required to design online courses.
Resumo:
Humans have a high ability to extract visual data information acquired by sight. Trought a learning process, which starts at birth and continues throughout life, image interpretation becomes almost instinctively. At a glance, one can easily describe a scene with reasonable precision, naming its main components. Usually, this is done by extracting low-level features such as edges, shapes and textures, and associanting them to high level meanings. In this way, a semantic description of the scene is done. An example of this, is the human capacity to recognize and describe other people physical and behavioral characteristics, or biometrics. Soft-biometrics also represents inherent characteristics of human body and behaviour, but do not allow unique person identification. Computer vision area aims to develop methods capable of performing visual interpretation with performance similar to humans. This thesis aims to propose computer vison methods which allows high level information extraction from images in the form of soft biometrics. This problem is approached in two ways, unsupervised and supervised learning methods. The first seeks to group images via an automatic feature extraction learning , using both convolution techniques, evolutionary computing and clustering. In this approach employed images contains faces and people. Second approach employs convolutional neural networks, which have the ability to operate on raw images, learning both feature extraction and classification processes. Here, images are classified according to gender and clothes, divided into upper and lower parts of human body. First approach, when tested with different image datasets obtained an accuracy of approximately 80% for faces and non-faces and 70% for people and non-person. The second tested using images and videos, obtained an accuracy of about 70% for gender, 80% to the upper clothes and 90% to lower clothes. The results of these case studies, show that proposed methods are promising, allowing the realization of automatic high level information image annotation. This opens possibilities for development of applications in diverse areas such as content-based image and video search and automatica video survaillance, reducing human effort in the task of manual annotation and monitoring.
Resumo:
Complex functions, generally feature some interesting peculiarities, seen as extensions real functions, complementing the study of real analysis. However, the visualization of some complex functions properties requires the simultaneous visualization of two-dimensional spaces. The multiple Windows of GeoGebra, combined with its ability of algebraic computation with complex numbers, allow the study of the functions defined from ℂ to ℂ through traditional techniques and by the use of Domain Colouring. Here, we will show how we can use GeoGebra for the study of complex functions, using several representations and creating tools which complement the tools already provided by the software. Our proposals designed for students of the first year of engineering and science courses can and should be used as an educational tool in collaborative learning environments. The main advantage in its use in individual terms is the promotion of the deductive reasoning (conjecture / proof). In performed the literature review few references were found involving this educational topic and by the use of a single software.
Resumo:
Dissertação (mestrado)—Universidade de Brasília, Faculdade de Educação, Programa de Pós-Graduação em Educação, 2016.
Resumo:
Cada vez mais, se torna necessário, apresentar, transpor e adequar as Novas Tecnologias ao ambiente de aprendizagem na sala de aula, interligando não só as Áreas Curriculares Não Disciplinares (ACND) como as Áreas Curriculares Disciplinares (ACD) a um trabalho colaborativo. Por conseguinte, o objetivo deste projeto de investigação é aplicar um projeto de aprendizagem colaborativa denominado “Triângulo das Histórias”, utilizando como instrumento de partilha um blogue na internet, e avaliar o tipo de aceitação que a sua aplicação gerou. A aplicação do projeto em contexto educativo visará uma interação entre a comunidade educativa, possibilitando assim, a experimentação de comunidades virtuais de comunicação e de colaboração escolar. Para complementar este estudo pretende-se também perceber os hábitos de utilização da Internet dos alunos envolvidos no projeto. A amostra utilizada para este estudo foi um conjunto de dezoito alunos dos 1.º e 2.º Ciclos do Ensino Básico, com idades compreendidas entre os 6 e os 12 anos de idade, dos regimes público, cooperativo e particular, repartidos por três escolas distintas, com meios socioeconómicos também diferentes. Para a recolha dos dados foi realizado um inquérito aos alunos envolvidos no projeto e realizadas observações sobre as suas interações e comportamentos. Os dados extraídos dos inquéritos foram apresentados sob a forma de gráfico. A implementação deste projeto permitiu perceber que os alunos foram recetivos a esta nova abordagem de realização de trabalho de grupo colaborativo recorrendo às comunidades virtuais. A criação de uma história associando três escolas distintas permitiu que os alunos, para além de terem de elaborar um texto de forma coletiva, tivessem acesso a novas ferramentas tanto da internet como do sistema operativo, tornando-se, desta forma, um bom complemento de aprendizagem.
Resumo:
(Deep) neural networks are increasingly being used for various computer vision and pattern recognition tasks due to their strong ability to learn highly discriminative features. However, quantitative analysis of their classication ability and design philosophies are still nebulous. In this work, we use information theory to analyze the concatenated restricted Boltzmann machines (RBMs) and propose a mutual information-based RBM neural networks (MI-RBM). We develop a novel pretraining algorithm to maximize the mutual information between RBMs. Extensive experimental results on various classication tasks show the eectiveness of the proposed approach.
Resumo:
En este trabajo se plantea la elaboración de un proyecto de intervención que se dirige a modificar la metodología de enseñanza para el procesamiento de documentos en el ámbito de la asignatura Procesamiento de Materiales Especiales de la carrera de Bibliotecología y Ciencia de la Información que se dicta en la Facultad de Humanidades y Ciencias de la Educación. A tal efecto se plantea introducir en el entorno de enseñanza aprendizaje las herramientas de las web 2.0 aplicadas a los entornos catalográficos, que en conjunto se denomina OPAC 2.0. Esta innovación en el entorno de la mencionada asignatura supone una innovación ya que hasta el momento este tipo de metodología, si bien desarrollada en el procesamiento de documentos en el ámbito del ejercicio profesional, no ha sido incorporada en la asignatura como parte del proceso de enseñanza