O impacto da tecnologia educativa no ensino da filosofia

Relatório de estágio de mestrado em Ensino da Filosofia no Ensino SecundárioEste relatório de estágio refere-se à implementação do projeto de intervenção supervisionada no âmbito da unidade curricular de estágio profissional, do segundo ano do Mestrado em Ensino de Filosofia no Ensino Secundário concluído no Instituto de Educação da Universidade do Minho, no ano de 2012. O plano de intervenção pedagógica supervisionado foi elaborado em torno do tema O Impacto da Tecnologia Educativa no Ensino da Filosofia, tendo como finalidade analisar o real impacto do uso dos diversos materiais didáticos que o docente usa na sua prática letiva. Foi objeto deste trabalho estudar a reação e comportamento dos alunos perante a diversidade de materiais e recursos disponíveis hoje em dia nas nossas escolas. Este relatório está dividido em quatro partes: (i) introdução e contexto em que a prática letiva de regências de estágio se desenvolveram; (ii) descrição de como foi implementado o projeto e as suas condicionantes; (iii) avaliação do projeto de intervenção pedagógica supervisionado; (iv) conclusões da experiência enquanto professor estagiário e enquanto observador e mentor de um estudo aplicado em contexto real de sala de aula.Le plan d'intervention éducative a été supervisé et élaboré autour du thème «L'impact de l'utilisation des technologies éducatives dans l'enseignement de la philosophie», ayant comme pertinence, l'analyse de l'impact réel de l'utilisation de matériels pédagogiques par les enseignants qui ont utilisé différentes technologies dans leur pratique pédagogique. Cette étude visait étudier la réaction et le comportement des élèves face à la diversité des matériaux et des ressources que la plus part des écoles, aujourd'hui, disponibilisent. Ce rapport est divisé en quatre parties, qui ont l'intention de démontrer, avant tout, l'introduction et le contexte dans lequel la pratique de régences de stages pédagogiques se développe. Une seconde phase ambitionne une description de la façon dont le projet a été mis en oeuvre et ses contraintes. Et enfin, l'évaluation du projet d'intervention supervisé de l'enseignement; la conclusion du rapport avec les conclusions de l'expérience comme professeur stagiaire et le mentor entant qu'observateur d´une étude appliquée dans une vraie classe

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

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved