A questão da licenciatura em Educação Fisica : a transição a pratica profissional

Universidade Estadual de Campinas. Faculdade de Educação Física

A evolução de um grupo de estudantes em uma disciplina de prática de ensino de biologia

Pós-graduação em Educação para a Ciência - FC

Novos caminhos para o ensino e aprendizagem de matemática financeira: construção e aplicação de webquest

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

O estágio supervisionado na formação docente

The aim of this article is to study the supervised apprenticeship in a bachelor degree, more specifically the Literature and Language degree in São Paulo State University (UNESP), in Araraquara. Many students conclude their courses with no idea about what they’ll face in public schools. The reality has shown us that our bachelor degrees aren’t reaching their objectives. Looking for a theoretical support, it’s possible to infer this is not a recent problem, but an ancient one that has been discussed for a long time. In a wide context that involves the depreciation of bachelor degree, the aim of this article is to study the supervised apprenticeship in a bachelor degree, considering the opinion of the undergraduates, teachers from public school, who receive the undergraduates in their classroom and professors who are responsible for training them at the university. The supervised apprenticeship will receive more emphasis in the context it’s insert, with the intent of centralize the study in a very important part of the teacher training. Meanwhile, it’s the only responsible for the faults on pedagogical training of the teacher. It’s necessary to rethink the bachelor degree, not only as a project in the pedagogical area, but as responsibility of all the professors involved. Undergraduate a Language teacher is a project that must involve every area.

Automated supervised classification of variable stars in the CoRoT programme Method and application to the first four exoplanet fields

Aims. In this work, we describe the pipeline for the fast supervised classification of light curves observed by the CoRoT exoplanet CCDs. We present the classification results obtained for the first four measured fields, which represent a one-year in-orbit operation. Methods. The basis of the adopted supervised classification methodology has been described in detail in a previous paper, as is its application to the OGLE database. Here, we present the modifications of the algorithms and of the training set to optimize the performance when applied to the CoRoT data. Results. Classification results are presented for the observed fields IRa01, SRc01, LRc01, and LRa01 of the CoRoT mission. Statistics on the number of variables and the number of objects per class are given and typical light curves of high-probability candidates are shown. We also report on new stellar variability types discovered in the CoRoT data. The full classification results are publicly available.

A supervised versus home-based program effects on liver transplanted familial amyloidotic polyneuropathy patients: walking, fatigue and quality of life

Purpose: To evaluate the effects of a six months exercise training program on walking capacity, fatigue and health related quality of life (HRQL). Relevance: Familial amyloidotic polyneuropathy disease (FAP) is an autossomic neurodegenerative disease, related with systemic deposition of amyloidal fibre mainly on peripheral nervous system and mainly produced in the liver. FAP often results in severe functional limitations. Liver transplantation is used as the only therapy so far, that stop the progression of some aspects of this disease. Transplantation requires aggressive medication which impairs muscle metabolism and associated to surgery process and previous possible functional impairments, could lead to serious deconditioning. Reports of fatigue are common feature in transplanted patients. The effect of supervised or home-based exercise training programs in FAP patients after a liver transplant (FAPTX) is currently unknown.

A supervised versus home-based program effects on liver transplanted familial amyloidotic polyneuropathy patients: walking, fatigue and quality of life

Familial amyloidotic polyneuropathy is a systemic deposition of amyloidal fibre mainly on peripheral nervous system (but also in other systems like heart, gastrointestinal tract, kidneys, etc) and mainly produced in the liver. Purpose of this study: to evaluate the effects of a six months exercise training program(supervised or home-based) on walking capacity, fatigue and health related quality of life (HRQL) on Familial Amyloidotic Polyneuropathy patients submitted to a liver transplant.

Os suportes de expressão como veículos promotores de aprendizagens no Ensino Pré-Escolar e no 1.º ciclo do Ensino Básico

Mestrado (PES II), Educação Pré-Escolar e Ensino do 1.º Ciclo do Ensino Básico, 26 de Junho de 2014, Universidade dos Açores.

O brincador: a interação adulto-criança no momento da brincadeira

Relatório da UC Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar

Haptic robot-environment interaction for self-supervised learning in ground mobility

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores

Partially supervised learning of fuzzy classification rules

Fuzzy classification, semi-supervised learning, data mining

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines. The complexity of the problem, the limited temporal and financial resources, as well as the high intraclass variance can make an algorithm fail if it is trained with a suboptimal dataset. Active learning aims at building efficient training sets by iteratively improving the model performance through sampling. A user-defined heuristic ranks the unlabeled pixels according to a function of the uncertainty of their class membership and then the user is asked to provide labels for the most uncertain pixels. This paper reviews and tests the main families of active learning algorithms: committee, large margin, and posterior probability-based. For each of them, the most recent advances in the remote sensing community are discussed and some heuristics are detailed and tested. Several challenging remote sensing scenarios are considered, including very high spatial resolution and hyperspectral image classification. Finally, guidelines for choosing the good architecture are provided for new and/or unexperienced user.

Semi-supervised segmentation of ultrasound images based on patch representation and continuous min cut.

Ultrasound segmentation is a challenging problem due to the inherent speckle and some artifacts like shadows, attenuation and signal dropout. Existing methods need to include strong priors like shape priors or analytical intensity models to succeed in the segmentation. However, such priors tend to limit these methods to a specific target or imaging settings, and they are not always applicable to pathological cases. This work introduces a semi-supervised segmentation framework for ultrasound imaging that alleviates the limitation of fully automatic segmentation, that is, it is applicable to any kind of target and imaging settings. Our methodology uses a graph of image patches to represent the ultrasound image and user-assisted initialization with labels, which acts as soft priors. The segmentation problem is formulated as a continuous minimum cut problem and solved with an efficient optimization algorithm. We validate our segmentation framework on clinical ultrasound imaging (prostate, fetus, and tumors of the liver and eye). We obtain high similarity agreement with the ground truth provided by medical expert delineations in all applications (94% DICE values in average) and the proposed algorithm performs favorably with the literature.

Apprenticeship Council Report on New Apprenticeship Programme Proposals

In May 2013, the then Minister for Education and Skills announced a wide ranging review of apprenticeship in Ireland. The review was undertaken by an independent Review Group under the chairmanship of Kevin Duffy. The objective of the review was to “examine the future of apprenticeship training in Ireland with a greater focus on a work based learning and a closer alignment of the current needs if the Irish labour market”. The Apprenticeship Review took place in the context of a wider reform programme in education and training, including major structural change in further education and training, the establishment of SOLAS and the development of new national strategies in both further and higher education. Apprenticeship was defined by the Apprenticeship Review Group as a programme of structured education and training, which formally combines and alternates learning in the work place with learning in an education or training centre, (a dual system i.e. a blended combination of on-the-job employer-based training and off-the-job training) whose completion - Prepares the participant for a specific occupation - Leads to an award, recognised under the National Framework of Qualifications from Level 5 to Level 1