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.

Haptic robot-environment interaction for self-supervised learning in ground mobility

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores

Learning new tricks: Corticostriatal dynamics during novel skill learning

Learning novel actions and skills is a prevalent ability across multiple species and a critical feature for survival and competence in a constantly changing world. Novel actions are generated and learned through a process of trial and error, where an animal explores the environment around itself, generates multiple patterns of behavior and selects the ones that increase the likelihood of positive outcomes. Proper adaptation and execution of the selected behavior requires the coordination of several biomechanical features by the animal. Cortico-basal ganglia circuits and loops are critically involved in the acquisition, learning and consolidation of motor skills.(...)

Peer interaction and learning opportunities in cohesive and less cohesive L2 classrooms

The present study investigates peer to peer oral interaction in two task based language teaching classrooms, one of which was a self-declared cohesive group, and the other a self- declared less cohesive group, both at B1 level. It studies how learners talk cohesion into being and considers how this talk leads to learning opportunities in these groups. The study was classroom-based and was carried out over the period of an academic year. Research was conducted in the classrooms and the tasks were part of regular class work. The research was framed within a sociocognitive perspective of second language learning and data came from a number of sources, namely questionnaires, interviews and audio recorded talk of dyads, triads and groups of four students completing a total of eight oral tasks. These audio recordings were transcribed and analysed qualitatively for interactions which encouraged a positive social dimension and behaviours which led to learning opportunities, using conversation analysis. In addition, recordings were analysed quantitatively for learning opportunities and quantity and quality of language produced. Results show that learners in both classes exhibited multiple behaviours in interaction which could promote a positive social dimension, although behaviours which could discourage positive affect amongst group members were also found. Analysis of interactions also revealed the many ways in which learners in both the cohesive and less cohesive class created learning opportunities. Further qualitative analysis of these interactions showed that a number of factors including how learners approach a task, the decisions they make at zones of interactional transition and the affective relationship between participants influence the amount of learning opportunities created, as well as the quality and quantity of language produced. The main conclusion of the study is that it is not the cohesive nature of the group as a whole but the nature of the relationship between the individual members of the small group completing the task which influences the effectiveness of oral interaction for learning.This study contributes to our understanding of the way in which learners individualise the learning space and highlights the situated nature of language learning. It shows how individuals interact with each other and the task, and how talk in interaction changes moment-by-moment as learners react to the ‘here and now’ of the classroom environment.

Aprendizagem autónoma (self-directed learning): relatório de um atelier pedagógico

Educação Médica. 1994, 5(3):178-181.

Learning in higher education: strategies to overcome challenges faced by adult students – lessons drawn from two case studies in Portugal

This paper appears in International Journal of Information and Communication Technology Education edited by Lawrence A. Tomei (Ed.) Copyright 2007, IGI Global, www.igi-global.com. Posted by permission of the publisher. URL:http://www.idea-group.com/journals/details.asp?id=4287.

Vision based context categorization for all-terrain robot

Dissertation presented at the Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa to obtain the Master degree in Electrical and Computer Engineering.

Positive Epistasis Drives the Acquisition of Multidrug Resistance

The evolution of multiple antibiotic resistance is an increasing global problem. Resistance mutations are known to impair fitness, and the evolution of resistance to multiple drugs depends both on their costs individually and on how they interact-epistasis. Information on the level of epistasis between antibiotic resistance mutations is of key importance to understanding epistasis amongst deleterious alleles, a key theoretical question, and to improving public health measures. Here we show that in an antibiotic-free environment the cost of multiple resistance is smaller than expected, a signature of pervasive positive epistasis among alleles that confer resistance to antibiotics. Competition assays reveal that the cost of resistance to a given antibiotic is dependent on the presence of resistance alleles for other antibiotics. Surprisingly we find that a significant fraction of resistant mutations can be beneficial in certain resistant genetic backgrounds, that some double resistances entail no measurable cost, and that some allelic combinations are hotspots for rapid compensation. These results provide additional insight as to why multi-resistant bacteria are so prevalent and reveal an extra layer of complexity on epistatic patterns previously unrecognized, since it is hidden in genome-wide studies of genetic interactions using gene knockouts.

Emotion-oriented interventions for environment and the facilitation of pro-environmental behavior

Dissertação para obtenção do Grau de Doutor em Ambiente, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Context-aware personalization environment for mobile computing

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

An approach to teach Calculus/Mathematical Analysis (for engineering students) using computers and active learning – its conception, development of materials and evaluation

Dissertação para obtenção do Grau de Doutor em Ciências da Educação

Adapter module for self-learning production systems

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica, Sistemas e Computadores

Learning domain-specific sentiment lexicons with applications to recommender systems

Search is now going beyond looking for factual information, and people wish to search for the opinions of others to help them in their own decision-making. Sentiment expressions or opinion expressions are used by users to express their opinion and embody important pieces of information, particularly in online commerce. The main problem that the present dissertation addresses is how to model text to find meaningful words that express a sentiment. In this context, I investigate the viability of automatically generating a sentiment lexicon for opinion retrieval and sentiment classification applications. For this research objective we propose to capture sentiment words that are derived from online users’ reviews. In this approach, we tackle a major challenge in sentiment analysis which is the detection of words that express subjective preference and domain-specific sentiment words such as jargon. To this aim we present a fully generative method that automatically learns a domain-specific lexicon and is fully independent of external sources. Sentiment lexicons can be applied in a broad set of applications, however popular recommendation algorithms have somehow been disconnected from sentiment analysis. Therefore, we present a study that explores the viability of applying sentiment analysis techniques to infer ratings in a recommendation algorithm. Furthermore, entities’ reputation is intrinsically associated with sentiment words that have a positive or negative relation with those entities. Hence, is provided a study that observes the viability of using a domain-specific lexicon to compute entities reputation. Finally, a recommendation system algorithm is improved with the use of sentiment-based ratings and entities reputation.