As necessidades e redes de apoio de famílias de pessoas com perturbação do espectro do autismo

RESUMO: O objectivo do presente estudo consistiu em avaliar as necessidades de apoio de 63 pais com filhos (crianças, jovens ou adultos) com Perturbação do Espectro Autista (PEA), no que diz respeito a: (1) necessidades de apoio identificadas pelos pais, (2) redes de suporte destes pais e (3) relação entre necessidades de apoio e características dos pais e filhos. Todos os pais tinham participado no 1º nível do projecto nacional intitulado “Oficinas de Pais/Bolsas de Pais” – o Grupo de Apoio Emocional (GAE). No sentido de verificar se ocorreram mudanças nas suas necessidades de apoio, avaliou-se o antes (momento I) e o depois do GAE (momento II). Utilizou-se a Escala de Funções de Apoio Social (Dunst, Trivette, & Deal, 1988) para avaliar as necessidades de apoio e a Escala de Apoio Social (Dunst, Trivette, & Deal, 1988) para avaliar as redes de apoio social. Os resultados demonstram que os pais de pessoas com PEA apresentam (tanto antes como após a frequência nas oficinas do GAE) sobretudo necessidades de apoio de carácter emocional e profissional, e menos necessidades de carácter prático. Para suprir as necessidades de apoio, antes e após o GAE, estes pais recorreram, numa primeira opção, ao cônjuge, aos profissionais e posteriormente aos amigos. Os vizinhos constituíram a rede de apoio social a quem menos recorreram. Apesar de algumas diferenças observadas entre o momento I e momento II, estas não foram estatisticamente significativas nem para as necessidades de apoio, nem para as redes de apoio social.------------------------- ABSTRACT: The study aimed to evaluate the support needs of 63 parents of children, adolescents and adults with Autistic Spectrum Disorder (ASD), concerning three aspects: (1) support needs that parents identified as major target, (2) social support network of these parents, and (3) the relationship between support needs and parent and children characteristics. All parents had participated in the first level of the national project “Oficinas de Pais/Bolsas de Pais” - the Emotional Support Group (ESG). In order to verify if any changes occurred in the needs of support, evaluation was carried before (moment I) and after (moment II) the ESG. In this context, parents filled the Supports Function Scale (Dunst, Trivette, & Deal, 1988), which evaluated their different needs of support, and also the Social Supports Scale (Dunst, Trivette & Deal, 1988) which in turn evaluated their social support network. The results showed that parents of children with ASD, both before and after the ESG, revealed emotional and professional needs and, in a less extent, also practical needs. To address the referred needs (before and after the ESG) these parents seek in the first place the support of their spouse, then that of professionals and, later on, that of friends. Neighbours are the support that parents least address. Despite some observed differences in support needs and social support networks between the two moments, these were, however, not statistically significant.

Professores realistas: mais eficazes e otimistas

A indisciplina na sala de aula prejudica o ensino e a aprendizagem sendo uma das principais causas do mal-estar dos professores, roubando-lhes energia e tempo conduzindo, muitos deles, à exaustão física e emocional e apresenta-se como um sério problema quer para professores principiantes, quer para professores experientes. A análise do ensino na perspetiva interpessoal possibilita uma nova visão sobre o ambiente de aprendizagem, nomeadamente no que se refere à relação professor-aluno. Nesta perspetiva, o enfoque dirige-se para a análise das perceções dos alunos sobre o comportamento do professor e o impacto que o mesmo tem sobre os alunos. Além de que, ao considerar-se a turma como um sistema deve ter-se em conta que o comportamento não pode ser visto como uma característica da pessoa mas, sim, como uma característica do sistema formado por aqueles que estão envolvidos na interação comunicacional. Analisar as interações comunicacionais à luz da pragmática da comunicação e dos seus cinco axiomas apresenta-se como um poderoso quadro clarificador de muitos dos comportamentos ditos disruptivos, possibilitando aos professores um “novo olhar” sobre o seu papel enquanto gestores da sala de aula. A formação realista de professores apresenta-se como uma estratégia com efeitos muito positivos uma vez que possibilita e ajuda-os a compreenderem o processo de circularidade característico da turma vista como um sistema. Por outro lado, permite evidenciar a impossibilidade dos professores de solucionarem os problemas disciplinares culpabilizando os alunos. Dito de outro modo, a formação realista conduz os professores a um (re) equacionar das suas práticas encorajando-os a selecionarem um comportamento interpessoal mais adequado. No 1º e 3º período letivo, os professores participantes (N= 15) responderam ao Questionário de Interação do Professor (Q.I.P.) e ao Questionário do Otimismo Académico (Q.O.A.) composto por três subescalas: Autoeficácia, Confiança nos alunos e famílias e Ênfase académica. Paralelamente, foram gravadas em suporte vídeo quatro aulas de cada professor, referentes a duas turmas selecionadas previamente pelos mesmos. Após a observação das suas aulas refletiram por escrito aquilo que observaram. No 2º período, participaram numa ação de formação intitulada “Ecologia da sala de aula: relacionamento interpessoal professor-aluno e a criação de ambientes de aprendizagem positivos” baseada no modelo realista de formação de professores. Desta formação resultou um conjunto de relatórios reflexivos que tiveram por objetivo desenvolver nos participantes a sua competência reflexiva, questionarem crenças tidas como inquestionáveis e otimizar a relação professor-aluno. A partir dos resultados obtidos pode afirmar-se que: 1) verificou-se um aumento no otimismo académico e no sentimento de autoeficácia; 2) observou-se um impacto nas conceções prévias, bem como no contexto organizacional.

Exploring the consumer decision journey and online shoping experience through an emotional prespective

Traditional consumer decision-making models have long used quantitative research to address a link between emotional and rational behavior. However, little qualitative research has been conducted in the area of online shopping as an end-to-end experience. This study aims to provide a detailed phenomenological account of consumers’ online shopping experience and extend Mckinsey & Companys’s consumer decision journey model from an emotional perspective. Six semi-structured interviews and a focus group of nine people are analyzed using Interpretive Phenomenology Analysis and five superordinate themes emerged from the results: emotional experience, empathy and encouragement, in relation to brand preference, emotional encounters in relation to consumer satisfaction and emotional exchange and relationship with a company or brand. A model interrelating these themes is then introduced to visually represent the emotional essence of a large online purchase. This study promises to be applicable as a descriptive, and perhaps, better predictive report for understanding the complex consumer decision-making process as it relates to online consumer behavior. Future research topics are also identified.

Os contributos do texto literário para o ensino-aprendizagem de PLE: elaboração de uma proposta de didatização de um conto de Sophia de Mello Breyner Andresen

Dissertação de mestrado em Português Língua Não Materna (PLNM) – Português Língua Estrangeira (PLE) e Língua Segunda (PL2)

[An editorial to] Recent Advances on Knowledge Discovery and Business Intelligence

Special issue guest editorial, June, 2015.

Business intelligence in banking: A literature analysis from 2002 to 2013 using Text Mining and latent Dirichlet allocation

telligence applications for the banking industry. Searches were performed in relevant journals resulting in 219 articles published between 2002 and 2013. To analyze such a large number of manuscripts, text mining techniques were used in pursuit for relevant terms on both business intelligence and banking domains. Moreover, the latent Dirichlet allocation modeling was used in or- der to group articles in several relevant topics. The analysis was conducted using a dictionary of terms belonging to both banking and business intelli- gence domains. Such procedure allowed for the identification of relationships between terms and topics grouping articles, enabling to emerge hypotheses regarding research directions. To confirm such hypotheses, relevant articles were collected and scrutinized, allowing to validate the text mining proce- dure. The results show that credit in banking is clearly the main application trend, particularly predicting risk and thus supporting credit approval or de- nial. There is also a relevant interest in bankruptcy and fraud prediction. Customer retention seems to be associated, although weakly, with targeting, justifying bank offers to reduce churn. In addition, a large number of ar- ticles focused more on business intelligence techniques and its applications, using the banking industry just for evaluation, thus, not clearly acclaiming for benefits in the banking business. By identifying these current research topics, this study also highlights opportunities for future research.

From a NoSQL data source to a business intelligence solution: An experiment

We are living in the era of Big Data. A time which is characterized by the continuous creation of vast amounts of data, originated from different sources, and with different formats. First, with the rise of the social networks and, more recently, with the advent of the Internet of Things (IoT), in which everyone and (eventually) everything is linked to the Internet, data with enormous potential for organizations is being continuously generated. In order to be more competitive, organizations want to access and explore all the richness that is present in those data. Indeed, Big Data is only as valuable as the insights organizations gather from it to make better decisions, which is the main goal of Business Intelligence. In this paper we describe an experiment in which data obtained from a NoSQL data source (database technology explicitly developed to deal with the specificities of Big Data) is used to feed a Business Intelligence solution.

Automated network resilience optimization using computational intelligence methods

This paper presents an automated optimization framework able to provide network administrators with resilient routing configurations for link-state protocols, such as OSPF or IS-IS. In order to deal with the formulated NP-hard optimization problems, the devised framework is underpinned by the use of computational in- telligence optimization engines, such as Multi-objective Evolutionary Algorithms (MOEAs). With the objective of demonstrating the framework capabilities, two il- lustrative Traffic Engineering methods are described, allowing to attain routing con- figurations robust to changes in the traffic demands and maintaining the network stable even in the presence of link failure events. The presented illustrative results clearly corroborate the usefulness of the proposed automated framework along with the devised optimization methods.

A oralidade enquanto instrumento estruturante do pensamento da criança

Relatório de estágio de mestrado em Educação Pré-Escolar e Ensino do 1.º Ciclo do Ensino Básico

Improving selective collection of urban waste using a business intelligence system

Today recovering urban waste requires effective management services, which usually imply sophisticated monitoring and analysis mechanisms. This is essential for the smooth running of the entire recycling process as well as for planning and control urban waste recovering. In this paper we present a business intelligence system especially designed and im- plemented to support regular decision-making tasks on urban waste management processes. The system provides a set of domain-oriented analytical tools for studying and characterizing poten- tial scenarios of collection processes of urban waste, as well as for supporting waste manage- ment in urban areas, allowing for the organization and optimization of collection services. In or- der to clarify the way the system was developed and the how it operates, particularly in process visualization and data analysis, we also present the organization model of the system, the ser- vices it disposes, and the interface platforms for exploring data.

Step towards of a homemade business intelligence solution: A case study in textile industry

Nowadays, organizations are increasingly looking to invest in business intelligence solutions, mainly private companies in order to get advantage over its competitors, however they do not know what is necessary. Business intelligence allows an analysis of consolidated information in order to obtain more specific outlets and certain indications in order to support the decision making process. You can take the right decision based on the data collected from different information systems present in the organization and outside of them. The textile sector is a sector where concept of Business Intelligence it is not many explored yet. Actually there are few textile companies that have a BI platform. Thus, the article objective is present an architecture and show all the steps by which companies need to spend to implement a successful free homemade Business Intelligence system. As result the proposed approach it was validated using real data aiming assess the steps defined.

Pervasive business intelligence platform to improve the quality of decision process in primary and secondary education – A Portuguese case study

Business Intelligence (BI) can be seen as a method that gathers information and data from information systems in order to help companies to be more accurate in their decision-making process. Traditionally BI systems were associated with the use of Data Warehouses (DW). The prime purpose of DW is to serve as a repository that stores all the relevant information required for making the correct decision. The necessity to integrate streaming data became crucial with the need to improve the efficiency and effectiveness of the decision process. In primary and secondary education, there is a lack of BI solutions. Due to the schools reality the main purpose of this study is to provide a Pervasive BI solution able to monitoring the schools and student data anywhere and anytime in real-time as well as disseminating the information through ubiquitous devices. The first task consisted in gathering data regarding the different choices made by the student since his enrolment in a certain school year until the end of it. Thereafter a dimensional model was developed in order to be possible building a BI platform. This paper presents the dimensional model, a set of pre-defined indicators, the Pervasive Business Intelligence characteristics and the prototype designed. The main contribution of this study was to offer to the schools a tool that could help them to make accurate decisions in real-time. Data dissemination was achieved through a localized application that can be accessed anywhere and anytime.

As perceções das famílias de crianças com necessidades especiais sobre os benefícios da intervenção precoce: um estudo qualitativo com famílias de Braga

Dissertação de mestrado em Educação Especial (área de especialização em Intervenção Precoce)

Empatia no desenvolvimento típico: relação entre autorrelatos e comportamentos empáticos

Dissertação de mestrado integrado em Psicologia

Prontidão escolar: validação de um instrumento Lollipop Test numa amostra portuguesa: crenças de progenitores e educadores de infância

Dissertação de mestrado integrado em Psicologia