Escola ativa como semeadora de sonhos nas turmas multianuais: representações das(os) professoras(es) da microrregião de Mossoró-RN.

The issue of multi-classes in schools from the field and methodology for these classes is controversial and contentious, both in terms of teaching, monitoring and organizational, is the perspective of values, training and systematization of public policy. Why the strategy Methodological Active School facing those classes appeared as a significant and exciting topic of research. Thus, it was aimed to apprehend the social representations of active school by teachers (s) to understand the extent to which these representations influence the acceptance and use of the program strategies. Perceiving and analyzing also the various factors related to the management, monitoring and training needs of (the) teachers as alternatives to make this meaningful action. The study focused 112 teachers (s), which for over a year, worked in the program in six municipalities in the micro-region of Rio Grande do Norte / RN - Areia Branca, Baraúna, Grossos, Mossoró, Serra do Mel and Tibau. From this perspective relied on Social Representation Theory and the Theory of the Central Core, attending to the subjectivity of the object searched, inserted in the psychosocial field of knowledge, we opted for multi-methodological approach, using quantitative and qualitative techniques. However, the highlight was a projective technique Free Association of Words from the term Active School is .... The words were systematized by EVOC program, and also applied semi-structured interviews, focusing specific issues that led to trace the socio-demographic profile of (the) participants and wider issues about the object of study. The evocations, justifications and interviews provided the basis for the analysis of the content that followed the steps: formation of the corpus, the composition of the analysis and categorization. The results show the representations an attitude of acceptance and positive appraisal of the participants to the Active School Program. At the core, these representations are objectified around the words "action", "learning", "autonomy" and "interaction". Based on the premise that the representations have a duty to guide the practices and behavior, one can see that the positive attitude of the group favors a systematic methodology and acceptance of the program, but we must look at the changes in management, training, monitoring of (the) teachers (s) and support to schools.

Utilizando Pesos estáticos e dinâmicos em sistemas multi-classificadores com diferentes níveis de diversidade

Although some individual techniques of supervised Machine Learning (ML), also known as classifiers, or algorithms of classification, to supply solutions that, most of the time, are considered efficient, have experimental results gotten with the use of large sets of pattern and/or that they have a expressive amount of irrelevant data or incomplete characteristic, that show a decrease in the efficiency of the precision of these techniques. In other words, such techniques can t do an recognition of patterns of an efficient form in complex problems. With the intention to get better performance and efficiency of these ML techniques, were thought about the idea to using some types of LM algorithms work jointly, thus origin to the term Multi-Classifier System (MCS). The MCS s presents, as component, different of LM algorithms, called of base classifiers, and realized a combination of results gotten for these algorithms to reach the final result. So that the MCS has a better performance that the base classifiers, the results gotten for each base classifier must present an certain diversity, in other words, a difference between the results gotten for each classifier that compose the system. It can be said that it does not make signification to have MCS s whose base classifiers have identical answers to the sames patterns. Although the MCS s present better results that the individually systems, has always the search to improve the results gotten for this type of system. Aim at this improvement and a better consistency in the results, as well as a larger diversity of the classifiers of a MCS, comes being recently searched methodologies that present as characteristic the use of weights, or confidence values. These weights can describe the importance that certain classifier supplied when associating with each pattern to a determined class. These weights still are used, in associate with the exits of the classifiers, during the process of recognition (use) of the MCS s. Exist different ways of calculating these weights and can be divided in two categories: the static weights and the dynamic weights. The first category of weights is characterizes for not having the modification of its values during the classification process, different it occurs with the second category, where the values suffers modifications during the classification process. In this work an analysis will be made to verify if the use of the weights, statics as much as dynamics, they can increase the perfomance of the MCS s in comparison with the individually systems. Moreover, will be made an analysis in the diversity gotten for the MCS s, for this mode verify if it has some relation between the use of the weights in the MCS s with different levels of diversity