ATENDIMENTO EDUCACIONAL ESPECIALIZADO DE ALUNOS COM DEFICIÊNCIA VISUAL: ESTUDO DE CASO EM UMA ESCOLA ESTADUAL

Este artigo busca abordar de maneira reflexiva como está sendo desenvolvida a assistência ao aluno com deficiência visual no Atendimento Educacional EspecializadoAEE de uma escola pública estadual de ensino do município de Humaitá- AM. Como também refletir como realmente acontece a inclusão dos alunos deficientes visuais na rede estadual, constatando adaptações curriculares, recursos didáticos e pedagógicos utilizados para estes alunos. Este estudo parte de uma abordagem qualitativa, na perspectiva descritiva. A construção dos dados foi realizada por meio da aplicação de entrevista semiestruturada, direcionada a 1 (um) professor atuante na sala de recurso da rede estadual. O estudo teve como base leituras e estudos de leis, decretos e autores que influenciam na educação do deficiente visual. Os resultados evidenciam que se necessita não apenas de salas de recursos para todas as escolas estaduais que recebem matrículas de alunos deficientes tipo 2, mais professores flexíveis que de certa forma colaborem com o trabalho do professor do AEE, disponibilizando parceria com o seu trabalho. &nbsp

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

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

Atendimento educacional especializado de alunos com deficiência visual

Este artigo busca abordar de maneira reflexiva como está sendo desenvolvida a assistência ao aluno com deficiência visual no Atendimento Educacional EspecializadoAEE de uma escola pública estadual de ensino do município de Humaitá- AM. Como também refletir como realmente acontece a inclusão dos alunos deficientes visuais na rede estadual, constatando adaptações curriculares, recursos didáticos e pedagógicos utilizados para estes alunos. Este estudo parte de uma abordagem qualitativa, na perspectiva descritiva. A construção dos dados foi realizada por meio da aplicação de entrevista semiestruturada, direcionada a 1 (um) professor atuante na sala de recurso da rede estadual. O estudo teve como base leituras e estudos de leis, decretos e autores que influenciam na educação do deficiente visual. Os resultados evidenciam que se necessita não apenas de salas de recursos para todas as escolas estaduais que recebem matrículas de alunos deficientes tipo 2, mais professores flexíveis que de certa forma colaborem com o trabalho do professor do AEE, disponibilizando parceria com o seu trabalho.