Metais, ambiente e vida: Interferência dovanádio nos sistemas vivos e sua contextualização no ensino das ciências experimentais

A actividade aqui descrita teve como objectivo aproximar alunos do ensino secundário a uma abordagem fisiológica e molecular sobre os efeitos dos metais nos seres vivos. Os alunos ficaram familiarizados com abordagens teóricas e experimentais que permitiram avaliar o crescimento celular por observação qualitativa, determinação do conteúdo proteico e da actividade específica fosfatase alcalina (ALP), recorrendo a centrifugação diferencial, leituras de absorvência e tratamento informático dos resultados. Os estudantes concluíram que a presença de metavanadato de amónio inibiu o crescimento da levedura vínica Saccharomyces cerevisiae UE-ME3, causando um decréscimo significativo do conteúdo proteico e da actividade específica ALP, um marcador da proliferação celular. A avaliação de competências adquiridas, bem como, os inquéritos de opinião mostraram que a maior parte dos alunos do 10° e 12° ano da Escola Secundária Dom Manuel Martins de Setúbal, envolvidos nesta acção, atingiram com sucesso e satisfação os objectivos previamente traçados, revelando uma aprendizagem significativa. ABSTRACT: The work described here aimed to bring high school students to a physiological and molecular approach on the effects of metals in living organisms. The students were familiar with theoretical and experimental approaches that allowed them to evaluate cell growth by qualitative observation, protein contents and alkaline phosphatase (ALP) determination, using differential centrifugation, absorbance readings and computational analysis of data. The students concluded that the presence of ammonium metavanadate inhibited the wine-wild yeast Saccharomyces cerevisiae UE-ME3 growth, and cause a significant decrease of protein content and ALP specific activity, a cell proliferation marker. The assessment of acquired skills, as well as opinion surveys showed that the vast majority of students of 10th and 12nd years of High School Dom Manuel Martins of Setúbal, involved in this project have reached with success and satisfaction the goals previously set for this action and reveals a significant learning.

Analysis of Dyscalculia Evidences through Artificial Intelligence Systems

Dyscalculia is usually perceived of as a specific learning difficulty for mathematics or, more appropriately, arithmetic. Because definitions and diagnoses of dyscalculia are in their infancy and sometimes are contradictory. However, mathematical learning difficulties are certainly not in their infancy and are very prevalent and often devastating in their impact. Co-occurrence of learning disorders appears to be the rule rather than the exception. Co-occurrence is generally assumed to be a consequence of risk factors that are shared between disorders, for example, working memory. However, it should not be assumed that all dyslexics have problems with mathematics, although the percentage may be very high, or that all dyscalculics have problems with reading and writing. Because mathematics is very developmental, any insecurity or uncertainty in early topics will impact on later topics, hence to need to take intervention back to basics. However, it may be worked out in order to decrease its degree of severity. For example, disMAT, an app developed for android may help children to apply mathematical concepts, without much effort, that is turning in itself, a promising tool to dyscalculia treatment. Thus, this work will focus on the development of a Decision Support System to estimate children evidences of dyscalculia, based on data obtained on-the-fly with disMAT. The computational framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, grounded on a Case-based approach to computing, that allows for the handling of incomplete, unknown, or even self-contradictory information.