Pratiques d’enseignement en lecture-écriture et apprentissages des élèves au début du primaire

Esta investigação pretende contribuir para o desenvolvimento da investigação interessada nas questões relativas ao ensino/ aprendizagem do modo escrito nos primeiros anos do primeiro ciclo do ensino básico, particularmente tendo em conta as práticas mais propensas a apoiar a aprendizagem bem-sucedida da leitura e de escrita. Especificamente, esta investigação tem como objetivo descrever as práticas de ensino observadas nas áreas da leitura e da escrita com 22 professores, mas também para relacionar essas práticas observadas com o desempenho em leitura e escrita dos seus alunos do primeiro e do segundo ano. Globalmente, os resultados indicam que as práticas observadas, tanto do ponto de vista dos Dispositivos mobilizados como do conteúdo ensinado, são variadas e contribuem para uma visão complexa da entrada na escrita. As análises de correlação sugerem que determinadas práticas, que geralmente procuram a participação activa das crianças e as interações com os outros, estão relacionados com o progresso dos alunos durante o ano letivo.

An Interface to Retrieve Personal Memories Using an Iconic Visual Language

Relevant past events can be remembered when visualizing related pictures. The main difficulty is how to find these photos in a large personal collection. Query definition and image annotation are key issues to overcome this problem. The former is relevant due to the diversity of the clues provided by our memory when recovering a past moment and the later because images need to be annotated with information regarding those clues to be retrieved. Consequently, tools to recover past memories should deal carefully with these two tasks. This paper describes a user interface designed to explore pictures from personal memories. Users can query the media collection in several ways and for this reason an iconic visual language to define queries is proposed. Automatic and semi-automatic annotation is also performed using the image content and the audio information obtained when users show their images to others. The paper also presents the user interface evaluation based on tests with 58 participants.

Complementary filter design with three frequency bands: robot attitude estimation

This paper extents the by now classic sensor fusion complementary filter (CF) design, involving two sensors, to the case where three sensors that provide measurements in different bands are available. This paper shows that the use of classical CF techniques to tackle a generic three sensors fusion problem, based solely on their frequency domain characteristics, leads to a minimal realization, stable, sub-optimal solution, denoted as Complementary Filters3 (CF3). Then, a new approach for the estimation problem at hand is used, based on optimal linear Kalman filtering techniques. Moreover, the solution is shown to preserve the complementary property, i.e. the sum of the three transfer functions of the respective sensors add up to one, both in continuous and discrete time domains. This new class of filters are denoted as Complementary Kalman Filters3 (CKF3). The attitude estimation of a mobile robot is addressed, based on data from a rate gyroscope, a digital compass, and odometry. The experimental results obtained are reported.