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Cultura negra na sala de aula: pode um cantinho de africanidades elevar a auto-estima de crianças negras e melhorar o relacionamento entre crianças negras e brancas?
(Universidade Federal de São Carlos, 2004-09-30) Algarve, Valéria Aparecida; Silva, Petronilha Beatriz Gonçalves e
The objective of this study was to analize the conceptions of the white children and the black ones before the black people and their culture, to analize the characteristics of a project that aims at fighting racism and discrimination having a Cantinho de Africanidades as a starting point. By the agency of it, we will try to analize the different experiences of the children, the teacher and the family, identifying and describing the contributions of the developed activities on account of the education of the ethnic-racial relations to positive relations between the white children and the black ones. It was created a Cantinho de Africanidades at the investigated school, with a material space which was a permanent exposition of objects that showed the culture and history of the black people, but there was also a part that consisted of the relations of the children with the objects, texts, texts and, above all, with the other children. Several activities were developed during the school year and they showed the culture and history of the black people in Africa, in Brazil or in the diaspora. There was a remarkable improvement in the relationship between the white children and the black ones; there was acceptation of the black children, who previously hat not assumed themselves as such; the white children understood that there may be different cultures from theirs which can be as interesting as their own, and finally, there was the increase in the black children self-esteem when they realized they were members of a valorized culture.
Uso do data mining no estabelecimento de relacionamentos entre medidas de desempenho.
(Universidade Federal de São Carlos, 2004-09-30) Custodio, Flavio Augusto; Martins, Roberto Antonio; https://lattes.cnpq.br/3518820028045730
This work aims to propose a method to analyze the relationships between performance measures in a Performance Measurement System using historical performance data storaged in a datawarehouse or operational data store. There is a problem in the performance measurement area that it doesn t have methods to create relationships models between performance measures. The present methods that we have in academic researches don t help to build the relationships concerning historical performance data. Therefore, there is a trend to build the relationship between performance measures to reflect the desirable future, but it is also true that we have to learn about the past actions. Nowadays, with the increasing complexity in the organizations environment it is very difficulty to handle historical data about performance to identify relationship patterns without using concepts, techniques and tools of the Information Technology (IT) field. The variables contained in the performance measurement models are increasing continually so it is important to understand the complex net of relationships between performance measures in an organization. The stakeholders in the organization see the relationships between performance measures as trivial, but this doesn t help because the relationships are partial and subjective and the stakeholders that articulate the variables in most of the cases are accountable by the performance. It s expected that decision makers participate and share their models of relationships between performance measures and that it be the most comprehensive as possible. This work is important because it proposes to use the data mining philosophy to help building a method to understand relationship between performance measures with performance historical data. Hence, it will be possible to define and communicate the relationships between performance measures to the users of the organization and increase the use of performance measurement models. The proposed method presents a process to build and find relationships between performance measures data using data mining techniques. The IDEF0 procedure was used to present our approach.