Na expressão de um sonho: Barreiras da carreira em universitários com incapacidade

Este estudo teve como objetivo analisar a perceção de barreiras ao desenvolvimento da carreira num grupo de estudantes Universitários portadores de incapacidade. Participaram 19 estudantes de 3 estabelecimentos de Ensino Superior, com idades compreendidas entre os 19 e os 45 anos. Responderam a uma entrevista semiestruturada que avaliava a perceção de barreiras e de sistemas de apoio ao seu desenvolvimento da carreira no passado, no presente e no futuro. Os resultados obtidos evidenciam dimensões de estabilidade e de mudança na perceção de barreiras: as persistentes nos três momentos avaliativos e as específicas a esses momentos. Também revelam que as pessoas significativas e as ajudas pedagógicas são os tipos de apoio ao desenvolvimento da carreira mais referidos. Os resultados são discutidos quanto às suas implicações para a prática e às perspetivas que abrem à investigação do desenvolvimento da carreira desta população. ABSTRACT: The aim of this study is to examine barriers perception to career development in a group of disabled university students. Nineteen students of three institutions of colleges participated, aged between nineteen and forty-five years. they responded to a semi-structured interview that appraised support systems and barriers perception to their career development in past, present and future. The results show barriers perception’s change and stability dimensions: the persistent in the three analise moments and those specific to these moments. lt also reveals that the most said career development's types of support are significant persons and pedagogical aids. The results are discussed regarding their implications for practice and prospects that open for research career development of this population.

A Case-base Approach to Workforces’ Satisfaction Assessment

It is well known that human resources play a valuable role in a sustainable organizational development. Indeed, this work will focus on the development of a decision support system to assess workers’ satisfaction based on factors related to human resources management practices. The framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a Case Based approach to computing. The proposed solution is unique in itself, once it caters for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in terms of a qualitative or quantitative setting. Furthermore, clustering methods based on similarity analysis among cases were used to distinguish and aggregate collections of historical data or knowledge in order to reduce the search space, therefore enhancing the cases retrieval and the overall computational process.

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.