O ensino da temática racial: formação e práticas docentes na educação escolar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

LASTRO OU PESO-MORTO? UM ESTUDO SOBRE ARTE-EDUCADORES E A RELEVÂNCIA DA DISCIPLINA EDUCAÇÃO ARTÍSTICA EM SUAS TRAJETÓRIAS FORMATIVAS

A frase de uma educadora: maestro a música mudou a vida desse menino foi o elemento que instigou o desenvolvimento da presente pesquisa. Os questionamentos que se seguem a partir dessa constatação abordaram os aspectos inerentes ao ensino da arte nas escolas brasileiras, angariados a partir de dados oficiais que apresentam um reduzido número de arte-educadores frente a legislação pertinente à obrigatoriedade do ensino da música em toda a educação básica a partir de 2011 através da Lei 11.769/08. A pesquisa se desenvolveu diante da suspeita que o ensino da arte nas escolas brasileiras tem se mostrado insuficiente no que diz respeito a promoção do educando em relação ao fazer artístico, culminando com o baixo interesse pela disciplina artes, refletindo posteriormente na formação de um número reduzido de arte-educadores que provavelmente tiveram sua iniciação artística fora do ambiente escolar. Sendo assim interessou a esta pesquisa aferir a relevância da disciplina artes ou educação artística na trajetória formativa dos arte-educadores em música. A pesquisa utilizou como referencial teórico os dados expostos em Barbosa (2008) e Snyders (2008) visando compreender as concepções inerentes ao ensino da arte, da música, e o processo histórico da linguagem artística no Brasil. Visando angariar elementos para a pesquisa foram desenvolvidas entrevistas com arte-educadores, tendo como referência teórica Nóvoa e Finger (2010) além de Bosi (1987). O capítulo I apresenta considerações sobre o fazer artístico, e o desenvolvimento histórico do ensino da arte no Brasil. O capítulo II trata de experiências práticas relacionadas à educação estética. O capítulo III explicita a fundamentação teórica sobre a metodologia utilizada. O capítulo IV apresenta as histórias de vida de três arte-educadores em música, enquanto o capítulo V expõe as devidas conclusões fundamentadas nas entrevistas com os arte-educadores.

Learning Feature Trajectories Using Gabor Filter Bank for Human Activity Segmentation and Recognition

We describe a novel method for human activity segmentation and interpretation in surveillance applications based on Gabor filter-bank features. A complex human activity is modeled as a sequence of elementary human actions like walking, running, jogging, boxing, hand-waving etc. Since human silhouette can be modeled by a set of rectangles, the elementary human actions can be modeled as a sequence of a set of rectangles with different orientations and scales. The activity segmentation is based on Gabor filter-bank features and normalized spectral clustering. The feature trajectories of an action category are learnt from training example videos using dynamic time warping. The combined segmentation and the recognition processes are very efficient as both the algorithms share the same framework and Gabor features computed for the former can be used for the later. We have also proposed a simple shadow detection technique to extract good silhouette which is necessary for good accuracy of an action recognition technique.

Vector Associative Maps: Unsupervised Real-time Error-based Learning and Control of Movement Trajectories

This article describes neural network models for adaptive control of arm movement trajectories during visually guided reaching and, more generally, a framework for unsupervised real-time error-based learning. The models clarify how a child, or untrained robot, can learn to reach for objects that it sees. Piaget has provided basic insights with his concept of a circular reaction: As an infant makes internally generated movements of its hand, the eyes automatically follow this motion. A transformation is learned between the visual representation of hand position and the motor representation of hand position. Learning of this transformation eventually enables the child to accurately reach for visually detected targets. Grossberg and Kuperstein have shown how the eye movement system can use visual error signals to correct movement parameters via cerebellar learning. Here it is shown how endogenously generated arm movements lead to adaptive tuning of arm control parameters. These movements also activate the target position representations that are used to learn the visuo-motor transformation that controls visually guided reaching. The AVITE model presented here is an adaptive neural circuit based on the Vector Integration to Endpoint (VITE) model for arm and speech trajectory generation of Bullock and Grossberg. In the VITE model, a Target Position Command (TPC) represents the location of the desired target. The Present Position Command (PPC) encodes the present hand-arm configuration. The Difference Vector (DV) population continuously.computes the difference between the PPC and the TPC. A speed-controlling GO signal multiplies DV output. The PPC integrates the (DV)·(GO) product and generates an outflow command to the arm. Integration at the PPC continues at a rate dependent on GO signal size until the DV reaches zero, at which time the PPC equals the TPC. The AVITE model explains how self-consistent TPC and PPC coordinates are autonomously generated and learned. Learning of AVITE parameters is regulated by activation of a self-regulating Endogenous Random Generator (ERG) of training vectors. Each vector is integrated at the PPC, giving rise to a movement command. The generation of each vector induces a complementary postural phase during which ERG output stops and learning occurs. Then a new vector is generated and the cycle is repeated. This cyclic, biphasic behavior is controlled by a specialized gated dipole circuit. ERG output autonomously stops in such a way that, across trials, a broad sample of workspace target positions is generated. When the ERG shuts off, a modulator gate opens, copying the PPC into the TPC. Learning of a transformation from TPC to PPC occurs using the DV as an error signal that is zeroed due to learning. This learning scheme is called a Vector Associative Map, or VAM. The VAM model is a general-purpose device for autonomous real-time error-based learning and performance of associative maps. The DV stage serves the dual function of reading out new TPCs during performance and reading in new adaptive weights during learning, without a disruption of real-time operation. YAMs thus provide an on-line unsupervised alternative to the off-line properties of supervised error-correction learning algorithms. YAMs and VAM cascades for learning motor-to-motor and spatial-to-motor maps are described. YAM models and Adaptive Resonance Theory (ART) models exhibit complementary matching, learning, and performance properties that together provide a foundation for designing a total sensory-cognitive and cognitive-motor autonomous system.

The trade unions membership dynamics and union members’ trajectories

This text presents an analysis of aggregated membership’s dynamics for Spanish trade unions, using ECVT data, as well as union memberships’ trajectories, or members’ decisions about joining the organization, permanency and responsibilities, and subsequent attrition. For the analysis of trajectories we make use of information of the records of actual memberships and the record of quitting of CCOO, and of a survey-questionnaire to a sample of leavers of the same union. This study allows us to confirm a linkage between the decision and motivations to become union member, to participate in union activities, the time of permanency, and the motives to quit the organization. We also identify five types of union members’ trajectories, indicating that, far from views that assert a monolithic structure, unions are complex organizations.

School's out forever: Postsecondary educational trajectories of students with autism

Objective:Postsecondary educational attainment is the key for successful transition to adulthood, economic self-sufficiency, and good mental and physical health.Method:Secondary analyses of school leavers’ data were carried out to establish postsecondary educational trajectories of students on the autism spectrum in the United Kingdom.Results:Findings show that students with autism who had attended mainstream secondary schools enter Further Education (post-16 vocational training) and Higher Education (University) institutions at a similar rate to other students to study the full range ofsubjects on offer. However, they are more likely to be younger, study at a lower academic level, and remain living at home.Conclusion:While course completion data were not yet available, attainment data showed that prospects were improving, although more needs to be done to enable these young adults to a achieving their post secondary educational potential.

Individual and group level trajectories of behavioural development in Border collies.

In order to assess dogs’ personality changes during ontogeny, a cohort of 69 Border collies was followed up from six to 18–24 months. When the dogs were 6, 12, and 18–24 months old, their owners repeatedly filled in a dog personality questionnaire (DPQ), which yielded five personality factors divided into fifteen facets. All five DPQ factors were highly correlated between the three age classes, indicating that the dogs’ personality remained consistent relative to other individuals. Nonetheless, at the group level significant changes with age were found for four of the five DPQ factors. Fearfulness, Aggression towards People, Responsiveness to Training and Aggression towards Animals increased with age; only Activity/Excitability did not change significantly over time. These changes in DPQ factor scores occurred mainly between the ages of 6 and 12 months, although some facets changed beyond this age. No sex differences were found for any of the tested factors or facets, suggesting that individual variation in personality was greater than male/female differences. There were significant litter effects for the factors Fearfulness, Aggression towards People and Activity/Excitability, indicating either a strong genetic basis for these traits or a high influence of the shared early environment. To conclude, from the age of six months, consistency in personality relative to other individuals can be observed in Border collies. However, at the group level, increases in fearful and aggressive behaviours occur up to 12 months and for some traits up to two years, highlighting the need for early interventions. Follow-up studies are needed to assess trajectories of personality development prior to six months and after two years, and to include a wider variety of breeds.

A Best Practice Process for Fleet Safety Training

This paper outlines a process for fleet safety training based on research and management development programmes undertaken at the University of Huddersfield in the UK (www.hud.ac.uk/sas/trans/transnews.htm) and CARRS-Q in Australia (www.carrsq.qut.edu.au/staff/Murray.jsp) over the past 10 years.