ENADE 2005: profile, performance and reasons for choosing teacher training programs

The Brazilian National Student Performance Exam (ENADE) is part of the National Higher Education Evaluation System and is composed of a test, a questionnaire evaluating the test, a questionnaire to be answered by the coordinators and a socio-economic questionnaire with 114 questions. The present study was elaborated from the analysis of this material and of the data from the Higher Education Census, with the purpose of analyzing the profile of the students of the teacher training programs that took the 2005 ENADE, their performance in the General Education portion of the test and the reasons they point out for choosing their programs. The study also tries to establish the relations between some selected variables in attempts to verify the significant differences. The results show that the students of the teacher training programs are concentrated in night classes of private higher education institutions and come mainly from public high schools. The main reason for their choice is the desire to become a teacher. In what concerns performance, the best results among freshmen as well as seniors, are in Physics (objective questions) and Geography (essay questions). The lowest mean of freshmen and seniors per area of knowledge is Pedagogy and the highest is Geography.O Exame Nacional de Desempenho dos Estudantes (ENADE) é parte integrante do Sistema Nacional de Avaliação da Educação Superior e é composto da prova, do questionário de avaliação da prova, do questionário dos coordenadores e do questionário sócio-econômico com 114 questões. A partir da análise desse material e dos dados do Censo da Educação Superior, foi elaborado o presente estudo com a finalidade de analisar o perfil dos estudantes dos cursos de Licenciaturas que se submeteram ao ENADE 2005, o desempenho desses estudantes na parte de Formação Geral e as razões que apontam para a escolha de cursos de Licenciatura, além de se buscar estabelecer as relações entre algumas variáveis selecionadas procurando verificar quais as diferenças significativas. Os resultados mostraram que os estudantes de Licenciatura concentram-se em cursos noturnos de IES privadas e são oriundos predominantemente do ensino médio público; a principal razão para a escolha da Licenciatura é o desejo de ser professor. Com relação ao desempenho, os melhores resultados, tanto de ingressantes como concluintes, são da área de Física (questões objetivas) e Geografia (nas questões discursivas); quando foi feita a média de ingressantes e concluintes por área verificou-se que a menor média é a obtida pela área de Pedagogia e a maior pela Geografia.40144

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

The complete genome sequence of Chromobacterium violaceum reveals remarkable and exploitable bacterial adaptability

Chromobacterium violaceum is one of millions of species of free-living microorganisms that populate the soil and water in the extant areas of tropical biodiversity around the world. Its complete genome sequence reveals (i) extensive alternative pathways for energy generation, (ii) ≈500 ORFs for transport-related proteins, (iii) complex and extensive systems for stress adaptation and motility, and (iv) wide-spread utilization of quorum sensing for control of inducible systems, all of which underpin the versatility and adaptability of the organism. The genome also contains extensive but incomplete arrays of ORFs coding for proteins associated with mammalian pathogenicity, possibly involved in the occasional but often fatal cases of human C. violaceum infection. There is, in addition, a series of previously unknown but important enzymes and secondary metabolites including paraquat-inducible proteins, drug and heavy-metal-resistance proteins, multiple chitinases, and proteins for the detoxification of xenobiotics that may have biotechnological applications

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

O SINAES e o ENADE: da concepção à implantação SINAES and ENADE: From conception to implementation

84185

Adaptação e validação de uma escala de atitudes em relação à matemáticap.109-162(Segunda Parte: 126-145)

O presente artigo refere-se à adaptação, aplicação e validação da escala de atitudes em relação à Matemática de AIKEN (AIKEN, 1961; 1963, AIKEN e DREGER, 1961). Os sujeitos foram 2007 alunos (incluindo estudantes da 3ª do primeiro grau até a terceira série do segundo grau) de quatro escolas públicas urbanas. Além da escala de atitudes, foi construído um questionário para atender os propósitos do estudo das atitudes (BRITO, 1996). As variáveis consideradas para análise foram os vinte itens da escala e o método estatístico usado foi a análise fatorial (

Adaptação e validação de uma escala de atitudes em relação à matemática (segunda parte)

O presente artigo refere-se à adaptação, aplicação e validação da escala de atitudes em relação à matemática de AIKEN (AIKEN, 1961; 1963, AIKEN e DREGER, 1961). Os sujeitos foram 2007 alunos (incluindo estudantes da 3ª do primeiro grau até a terceira série do segundo grau) de quatro escolas públicas urbanas. Além da escala de atitudes, foi construído um questionário para atender os propósitos do estudo das atitudes (brito, 1996). As variáveis consideradas para análise foram os vinte itens da escala e o método estatístico usado foi a análise fatorial (p<.050)

Adaptação e validação de uma escala de atitudes em relação à matemática (terceira parte)

O presente artigo refere-se à adaptação, aplicação e validação da escala de atitudes em relação à matemática de AIKEN (AIKEN, 1961; 1963, AIKEN e DREGER, 1961). Os sujeitos foram 2007 alunos (incluindo estudantes da 3ª do primeiro grau até a terceira série do segundo grau) de quatro escolas públicas urbanas. Além da escala de atitudes, foi construído um questionário para atender os propósitos do estudo das atitudes (brito, 1996). As variáveis consideradas para análise foram os vinte itens da escala e o método estatístico usado foi a análise fatorial (p<.050)