258 resultados para orientamento :: 488 :: Scelta guidata n.5 (navigazione)


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The international trend towards an increasingly standards-based approach to higher education and the resultant focus on the assurance of learning in tertiary programs have generated a strong emphasis on the assessment of outcomes across the higher education sector. In legal education, curriculum reform is highly prevalent internationally as a result of various reviews of legal education. As legal education focuses more on the attainment of a broader set of outcomes encompassing soft skills, capabilities and attributes, more authentic assessment will need to be developed appropriate to this new environment, meaning that modes of assessment with strong application in real-life settings should be preferred.

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Chloromethylfurfural (CMF), a valuable intermediate for the production of chemicals and fuel, can be derived in high yields from the cellulose component of biomass. This study examined the effect of sugar cane bagasse components and biomass architecture on CMF/bio-oil yield using a HCl/dichloroethane biphasic system. The type of pretreatment affected bio-oil yield, as the CMF yield increased with increasing glucan content. CMF yield reached 81.9% with bagasse pretreated by acidified aqueous ionic liquid, which had a glucan content of 81.6%. The lignin content of the biomass was found to significantly reduce CMF yield, which was only 62.3% with acid-catalysed steam exploded sample having a lignin content of 29.6%. The change of CMF yield may be associated with fibre surface changes as a result of pretreatment. The hemicellulose content also impacted negatively on CMF yield. Storage of the bio-oil in chlorinated solvents prevented CMF degradation.

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As an extension to an activity introducing Year 5 students to the practice of statistics, the software TinkerPlots made it possible to collect repeated random samples from a finite population to informally explore students’ capacity to begin reasoning with a distribution of sample statistics. This article provides background for the sampling process and reports on the success of students in making predictions for the population from the collection of simulated samples and in explaining their strategies. The activity provided an application of the numeracy skill of using percentages, the numerical summary of the data, rather than graphing data in the analysis of samples to make decisions on a statistical question. About 70% of students made what were considered at least moderately good predictions of the population percentages for five yes–no questions, and the correlation between predictions and explanations was 0.78.