Avaliação digital da aprendizagem : estudo de caso no contexto da unidade curricular "Seminário de Práticas em Ciências Físico-Químicas"

Dissertação de Mestrado em Pedagogia do E-Learning apresentada à Universidade AbertaNum ambiente de aprendizagem online, em que o aluno deverá ter uma participação ativa na construção de seu próprio conhecimento, são exigidas diferentes competências ao aluno, não só ao nível da utilização das tecnologias como também saber trabalhar em equipa, saber selecionar, pesquisar, relacionar e sintetizar informação, ter espírito crítico e capacidade de iniciativa na resolução de problemas. A avaliação tem que, por sua vez, acompanhar esta evolução. Neste contexto, de aprendizagem e avaliação online, o aluno desempenha um papel fundamental pelo que é importante perceber de que forma a avaliação digital promove a aprendizagem e como é percebida pelos estudantes. Impõem-se assim as questões: Que estratégias de avaliação serão mais adequadas em contexto digital? Como poderá o design de estratégias de avaliação digital contribuir para a promoção da aprendizagem? Como são, as estratégias de avaliação digital, percebidas pelos participantes, enquanto promotoras da aprendizagem? Regista-se que os participantes consideram importante participar na elaboração da avaliação de uma UC de um curso online, sendo a explicitação clara de objetivos e critérios e a definição de uma estratégia de avaliação adequada, pontos fulcrais, na medida em permitem desenvolver o sentido crítico do aluno e dar, ao aluno, a oportunidade de construir o seu próprio conhecimento. Relativamente aos instrumentos de avaliação foi dada particular importância à sua diversificação. Também, no que concerne ao feedback, foi considerado de enorme relevância ao feedback como um procedimento de avaliação valioso de apoio à aprendizagem. O e-fólio, um dos instrumentos de avaliação utilizados na UC, foi particularmente considerado como um facilitador da aprendizagem na medida em que promove a componente formativa da avaliação.In an online learning environment, in which the student must take an active part in constructing his own knowledge, different skills are required, not only in what concerns the use of technologies but also teamwork skills, knowing how to select, search, relate and synthesize information, critical thinking andproblem solving. So, it wil be necessary that assessment follows this evolution. In the context of online learning and assessment students play a key role, and it is important to understand not only how digital assessment promotes learning, but also how it is perceived by learners. Therefore, questions such as: “What assessment strategies will be most appropriate in a digital context?”, “How can the design of assessment strategies help promote digital learning?” and “How are digital assessment strategies, perceived by the participants, while promoting learning?” must be asked. the findings show that the participants consider it important to take part in the development of assessment in an online course, with a clear explanation of objectives and criteria, and the definition of an appropriate evaluation strategy. These are key points to the extent that they allow the development of the students’ critical thinking and give them the opportunity to build their own knowledge. As far as assessment instruments are concerned a particular importance was given to their diversification. Moreover, feedback was also given an enormous importance as a valuable procedure for supporting learning. The efolio, one of assessment instruments used in thiscourse, was particularly regarded as a learning facilitator as it promoted the formative component of assessment

Facts related to the collection of biological samples in the National Health Examination Survey - Portuguese Component of the European Health Examination Survey

Abstrat disponível em: http://www.ichg2011.org/cgi-bin/showdetail.pl?absno=11013The objective of the National Health Examination Survey (NHES), which corresponds to the Portuguese component of the European Health Examination Survey (EHES), is to collect health data, related risk factors and biological samples of the Portuguese population, using the EHES recommended methodology. These surveys involve an interview, clinical and physical measurements and blood collection. In this context, we herein describe the pilot study performed in S. Brás de Alportel in the Algarve region. For this pilot study, we have recruited 221 individuals (95 males and 126 females), between 25 and 91 years old, who were enrolled in the Health Centre of S. Brás de Alportel (Algarve). For each participant, we have collected 16.5 ml of total blood, in five different Vacutainer® tubes, which was later processed into serum, plasma and DNA. We have performed several biochemical analyses(total cholesterol, LDL,HDL, glucose, tryglicerides, creatinine, ALT, AST, -GT, CRP and iron) and a complete blood count. From the 221 participants in this pilot study, we were able to collect blood to 219 (99.5%). To 185 of these (84.5%) we were able to collect the total amount of blood. The biochemical analyses were performed in all the samples. The total blood count was performed in 103 samples (47%) due to transport constraints. We have also collected DNA from 210 participants (95.9%). We have created a biobank comprising 1847 serum aliquots and 959 plasma aliquots, which have been stored at - 80°C and 210 DNA aliquots which have been stored at 4°C. In conclusion, during this study, we have optimized the logistics and procedures to perform the large scale study for the NHES and EHES. In addition, we have created a biobank comprising detailed questionnaire data, physical and clinical data and biological samples from a representative sample of S. Brás de Alportel in Algarve, Portugal. This biobank will allow us to perform future studies, including the determination of the prevalence of gene variants of public health interest, the characterization of gene-environment interactions in the development of chronic diseases and the genetic structure of the Portuguese population. The success rate, the quality of the data and of the biological samples was high and comparable to similar studies.Fundação para a Ciência e Tecnologia e European Commission/DG Sanc

Hydrochemistry, elements distribution and their potential recoveries in gold metallurgical treatment tailings dams

Wastewaters are valuable sources of metals and metalloids and can serve as essential resources for their recovery. Characterizing and understanding the occurrence of metals and other compounds, along with identifying the most effective recovery methods, are key steps in unlocking the potential for reusing these resources. The present study focused on analyzing waters from various mining dams in the Iron Quadrangle (IQ) region of Brazil, which contained metals such as Au, Cu, Ni, Zn, and sulfates resulting from the metallurgical treatment of Au. The results revealed a range of metal concentrations in the neutral zone in three tailings. Additionally, a 3D map was created, and a statistical analysis and an exploration of the processes governing mobility and partitioning were conducted to assess the potential for reuse. Notably, the study identified a high potential for Au recovery, particularly through the utilization of sustainable and cost-effective methods such as nanofibers with biosorbents. Overall, this research contributes to the understanding and exploration of potential reuse procedures for strategic metals in various industrial applications.This research was funded by Fundação para a Ciência and Tecnologia (FCT) through projects UIDB/04683/2020, UIDP/04683/2020, and Nano-MINENV 029259 (PTDC/CTA-AMB/ 29259/2017)

Construção de um programa promotor do envelhecimento ativo: o protótipo do programa REATIVA

info:eu-repo/semantics/publishedVersio

SARS-CoV-2 introductions and early dynamics of the epidemic in Portugal

Genomic surveillance of SARS-CoV-2 in Portugal was rapidly implemented by the National Institute of Health in the early stages of the COVID-19 epidemic, in collaboration with more than 50 laboratories distributed nationwide. Methods By applying recent phylodynamic models that allow integration of individual-based travel history, we reconstructed and characterized the spatio-temporal dynamics of SARSCoV-2 introductions and early dissemination in Portugal. Results We detected at least 277 independent SARS-CoV-2 introductions, mostly from European countries (namely the United Kingdom, Spain, France, Italy, and Switzerland), which were consistent with the countries with the highest connectivity with Portugal. Although most introductions were estimated to have occurred during early March 2020, it is likely that SARS-CoV-2 was silently circulating in Portugal throughout February, before the first cases were confirmed. Conclusions Here we conclude that the earlier implementation of measures could have minimized the number of introductions and subsequent virus expansion in Portugal. This study lays the foundation for genomic epidemiology of SARS-CoV-2 in Portugal, and highlights the need for systematic and geographically-representative genomic surveillance.We gratefully acknowledge to Sara Hill and Nuno Faria (University of Oxford) and Joshua Quick and Nick Loman (University of Birmingham) for kindly providing us with the initial sets of Artic Network primers for NGS; Rafael Mamede (MRamirez team, IMM, Lisbon) for developing and sharing a bioinformatics script for sequence curation (https://github.com/rfm-targa/BioinfUtils); Philippe Lemey (KU Leuven) for providing guidance on the implementation of the phylodynamic models; Joshua L. Cherry (National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health) for providing guidance with the subsampling strategies; and all authors, originating and submitting laboratories who have contributed genome data on GISAID (https://www.gisaid.org/) on which part of this research is based. The opinions expressed in this article are those of the authors and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the United States government. This study is co-funded by Fundação para a Ciência e Tecnologia and Agência de Investigação Clínica e Inovação Biomédica (234_596874175) on behalf of the Research 4 COVID-19 call. Some infrastructural resources used in this study come from the GenomePT project (POCI-01-0145-FEDER-022184), supported by COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), and by Fundação para a Ciência e a Tecnologia (FCT).info: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 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

A medicalização da educação: implicações para a constituição do sujeito/aprendiz

Resumo O Transtorno de Déficit de Atenção/Hiperatividade (TDAH) gera controvérsias entre os pesquisadores da área da saúde. A corrente organicista defende que o transtorno seria decorrente de uma desordem neurobiológica, de origem genética. Contrariando o paradigma hegemônico, pesquisadores alinhados à vertente sócio-histórica entendem o TDAH como parte de um fenômeno denominado medicalização da educação. Este estudo pretende refletir sobre a construção social do TDAH (da entrada na escola ao diagnóstico médico) e suas implicações para a subjetividade, socialização e aprendizagem do aluno considerado resistente ao que a escola propõe. Esta pesquisa se constitui em análise de caso, pesquisa de campo, qualitativa, do tipo transversal, inserida em um paradigma teórico-metodológico de cunho sócio-histórico (BAKHTIN, 2006; VYGOTSKY, 2010). Para análise da história de uma criança de 10 anos de idade e com diagnóstico de TDAH, foram realizadas entrevistas com professores, com a mãe e com a criança, observação em sala de aula, avaliação fonoaudiológica e pesquisa documental (material pedagógico, pareceres avaliativos das escolas frequentadas pela criança, pareceres de profissionais de saúde etc.). Os resultados apontam que, quando se investiga em profundidade a qualidade das interações sociais em que a criança esteve/está inserida, é possível que se compreendam as bases socioeducacionais que constituem o suposto transtorno

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