Autonomia Criativa em Educação a Distância: Uso do Flipsnack em um Curso de Ciências Biológicas

A aprendizagem autônoma é um dos fundamentos da educação a distância. Recursos tecnológicos importantes que permitem o desenvolvimento do poder de decisão e utilização de estratégias criativas devem ser estimulados para os alunos. Este é um estudo descritivo com abordagem qualitativa que descreve as experiências iniciais e as percepções de tutores sobre as dificuldades apresentadas pelos alunos com o uso de flipsnack, uma ferramenta que permite a criação e publicação de e-books, focando o desenvolvimento da criatividade e autonomia. Acredita-se que esta ferramenta vai contribuir para a formação acadêmica, oferecendo oportunidades para o desenvolvimento da autonomia criativa e seu papel fundamental na sua prática de ensino profissional.  Palavras-chave: Ensino; Educação a distância; Educação superior; Tecnologia da educação; Autonomia profissional. Creative Autonomy in Distance Education: Flipsnack Use in a Biological Sciences CourseAbstract Autonomous learning is one of the foundations of distance education (DE). Important technological features that allow the development of power of decision and the use of creative strategies must be stimulating for the students. This is a descriptive study with a qualitative approach that describes the initial experiences and tutors perceptions of difficulties presented by students with use of flipsnack, a tool that permits the creation and publication of e-books, which focuses on the development of creativity and autonomy. It is believed that this tool will contribute to academic training, providing opportunities for the development of creative autonomy and its fundamental role in their professional teaching practice.  Keywords: Teaching; Distance education; Higher education; Education Technology; Professional Autonomy

Motivação e atitudes de professores da rede pública de municípios cearenses diante do ensino de surdos

The person learning disabled constitutes a challenge for teachers, considering the training, qualification, directed institutional policies and human and material resources available. However, these variables alone will not justify certain difficulties presented by these professionals when faced with this demand. Considering the influence of these factors and the importance of motivation and positive attitudes of teachers in front of the deaf students education, proceeded to study of 200 public school teachers of six Ceara’s municipalities to identify the motivation and attitude before teaching of deaf students. It conducted content analysis from the issues raised in open questions, and the data evaluated in IRAMUTEQ software through lexical analysis with cloud forming words. From these six categories were constructed and discussed in light of literature. It was identified little motivation, however, permeated by positive attitudes, that although focus the issue of capacity building as a key factor for performance, reflecting the attitude of a teacher who supports the inclusion and seeks new strategies to create opportunities to insert this student.A educação de alunos com necessidades especiais se constitui grande desafio para os professores, considerando a formação, qualificação, políticas institucionais direcionadas e recursos humanos e materiais disponíveis. Porém, essas variáveis por si, não justificam certas dificuldades apresentadas por estes profissionais ao se depararem com esta demanda. Considerando a influência destes fatores e a importância da motivação e de atitudes positivas de professores diante da educação de alunos surdos, procedeu-se estudo com 200 professores da rede pública de seis municípios cearenses a fim de identificar a motivação e atitude dos mesmos diante do ensino de alunos surdos. Realizou-se análise de conteúdo a partir dos temas levantados em questões abertas, sendo os dados avaliados no software IRAMUTEQ por meio de análise lexicográfica com formação de nuvem de palavras. A partir destas, seis categorias foram construídas e discutidas à luz da literatura pertinente. Identificou-se pouca motivação, porém, permeadas por atitudes positivas, que, embora enfoquem a questão da capacitação como fator primordial para atuação, refletem a postura de um professor que apoia a inclusão e busca novas estratégias para oportunizar a inserção deste aluno

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

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

COMPETITIVIDADE DA INDÚSTRIA DO PARANÁ: UM ESTUDO DOS COEFICIENTES DE ABERTURA COMERCIAL ENTRE 2002 E 2011

O objetivo do trabalho consistiu em analisar a competitividade da indústria paranaense pelo comportamento dos fluxos comerciais de exportação e importação do setor industrial do estado a fim de levantar evidências sobre a competitividade da indústria e as evidências de desindustrialização no estado, no período de 2002 a 2011. Os procedimentos metodológicos foram realizados por meio de indicadores de orientação externa, ou seja, Coeficiente de Penetração das Importações (CPM) e Coeficiente das Exportações (CX) para a indústria extrativa e de transformação bem como para a economia como um todo do Paraná. Os resultados demonstram um crescimento da competitividade das economias e setores analisados, revelando maior competitividade por meio de uma ampliação da oferta de produtos