O programa PEC - formação universitária e a formação de professores do ensino fundamental: uma avaliação

Pós-graduação em Educação - FFC

Elaboração e avaliação de um ambiente virtual para o ensino/aprendizagem de embriologia

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

O rádio na educação brasileira

The scenario that outlines this research project is characterized by the centrality of ICT on society and the necessity of having them embedded on education, both face-to-face and distance learning. Amongst the available ICT, the medium radio has been chosen due to its popularity within Brazilian society, as well as its 90 years of initiatives applied on education. Although the radio seems to be historically useful to education, it has been supporting more conservative approaches, such as teaching centred practices, simplytransmitted lessons and assessment based on memorization. On the other hand, Brazilian educational system has been changed since the early 90s, and those reforms brought new challenges to the radio on education, such as training critical listeners, concerned citizens, people with aesthetic sensibility, ethical standards etc. Thus, a systematic assessment of the real educational possibilities of the radio is even more necessary. This research projectaims to retrieve the most prominent educational initiatives using the radio, connecting them to the Brazilian regulatory framework on Education. The methodology consists of desk research and official documents analyses.

Análise de ação educativa sobre vigilância do óbito infantil para profissionais da saúde do Estado do Maranhão

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

T-Learning: limites e possibilidades em televisão digital interativa

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Increasing Moodle Resources Through Cloud Computing

The increase of higher education offer is a basic need of developed and emerging countries. It requires increasing and ongoing investments. The offer of higher education, by means of Distance Learning, based on the Internet, is one of the most efficient manners for the massification of this offer, as it allows ample coverage and lower costs. In this scenario, we highlight Moodle, an open and low-cost environment for Distance Learning. Its utilization may be amplified through the adoption of an emerging Information and Communication Technology (ICT), Cloud Computing, which allows the virtualization of Moodle sites, cutting costs, facilitating management and increasing its service capacity. This article diffuses a public tool, opened and free, for automatic conversion of Moodle sites, such that these may be hosted on Azure: the Cloud Computing environment of Microsoft.

Monocular vision and increased distance reducing the effects of visual manipulation on body sway

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Inequalities in access to education and healthcare

The burden of disease is borne by those who suffer as patients but also by society at large, including health service providers. That burden is felt most severely in parts of the world where there is no infrastructure, or foreseeable prospects of any, to change the status quo without external support. Poverty, disease and inequality pervade all the activities of daily living in low-income regions and are inextricably linked. External interventions may not be the most appropriate way to impact on this positively in all circumstances, but targeted programmes to build social capital, within and by countries, are more likely to be sustainable. By these means, basic oral healthcare, underpinned by the primary healthcare approach, can be delivered to more equitably address needs and demands. Education is fundamental to building knowledge-based economies but is often lacking in such regions even at primary and secondary level. Provision of private education at tertiary level may also introduce its own inequities. Access to distance learning and community-based practice opens opportunities and is more likely to encourage graduates to work in similar areas. Recruitment of faculty from minority groups provides role models for students from similar backgrounds but all faculty staff must be involved in supporting and mentoring students from marginalized groups to ensure their retention. The developed world has to act responsibly in two crucial areas: first, not to exacerbate the shortage of skilled educators and healthcare workers in emerging economies by recruiting their staff; second, they must offer educational opportunities at an economic rate. Governments need to lead on developing initiatives to attract, support and retain a competent workforce.

Atividades investigativas em grupos online: possibilidades para a educação matemática a distância

Pós-graduação em Educação Matemática - IGCE

Ensino a distância: limites e possibilidades na formação de professores

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Combined active and semi-supervised learning using particle walking temporal dynamicscombined active and semi-supervised learning using particle walking temporal dynamics

Both Semi-Supervised Leaning and Active Learning are techniques used when unlabeled data is abundant, but the process of labeling them is expensive and/or time consuming. In this paper, those two machine learning techniques are combined into a single nature-inspired method. It features particles walking on a network built from the data set, using a unique random-greedy rule to select neighbors to visit. The particles, which have both competitive and cooperative behavior, are created on the network as the result of label queries. They may be created as the algorithm executes and only nodes affected by the new particles have to be updated. Therefore, it saves execution time compared to traditional active learning frameworks, in which the learning algorithm has to be executed several times. The data items to be queried are select based on information extracted from the nodes and particles temporal dynamics. Two different rules for queries are explored in this paper, one of them is based on querying by uncertainty approaches and the other is based on data and labeled nodes distribution. Each of them may perform better than the other according to some data sets peculiarities. Experimental results on some real-world data sets are provided, and the proposed method outperforms the semi-supervised learning method, from which it is derived, in all of them.

O tutor no ensino a distância: considerações sobre o elemento humano da mediação educativa com tecnologia

Pós-graduação em Educação Escolar - FCLAR

O tutor virtual na formação continuada em educação especial

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Supervised variational relevance learning, an analytic geometric feature selection with applications to omic datasets

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)