7 resultados para Statistics Teaching


Relevância:

20.00% 20.00%

Publicador:

Resumo:

Trabalho de Projeto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Teaching English as a Second / Foreign Language

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Project submitted as part requirement for the degree of Masters in English teaching,

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ensino de Inglês

Relevância:

20.00% 20.00%

Publicador:

Resumo:

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Línguas, Literaturas e Culturas

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Currently, it is widely perceived among the English as a Foreign Language (EFL) teaching professionals, that motivation is a central factor for success in language learning. This work aims to examine and raise teachers’ awareness about the role of assessment and feedback in the process of language teaching and learning at polytechnic school in Benguela to develop and/or enhance their students’ motivation for learning. Hence the paper defines and discusses the key terms and, the techniques and strategies for an effective feedback provision in the context under study. It also collects data through the use of interview and questionnaire methods, and suggests the assessment and feedback types to be implemented at polytechnic school in Benguela

Relevância:

20.00% 20.00%

Publicador:

Resumo:

The European Court of Justice has held that as from 21 December 2012 insurers may no longer charge men and women differently on the basis of scientific evidence that is statistically linked to their sex, effectively prohibiting the use of sex as a factor in the calculation of premiums and benefits for the purposes of insurance and related financial services throughout the European Union. This ruling marks a sharp turn away from the traditional view that insurers should be allowed to apply just about any risk assessment criterion, so long as it is sustained by the findings of actuarial science. The naïveté behind the assumption that insurers’ recourse to statistical data and probabilistic analysis, given their scientific nature, would suffice to keep them out of harm’s way was exposed. In this article I look at the flaws of this assumption and question whether this judicial decision, whilst constituting a most welcome landmark in the pursuit of equality between men and women, has nonetheless gone too far by saying too little on the million dollar question of what separates admissible criteria of differentiation from inadmissible forms of discrimination.