DEI

Assessment is essential for certification, regulation and feedback within the education process. Our research effort focus on the last two features, and tries to identify the strengths and weaknesses of the students, in order to adapt assessment activities for better learning results. The approach consists in designing a technological artefact for formative assessment with visual feedback during the learning process, to meet students' demands for personalised tests in order to effectively assess the learning outcomes. While many of the ...

Abstract: In this paper we present a technology enhanced learning (TEL) conceptual proposal in a Portuguese high school learning scenario. We consider technology should be on actor's goals and interests service rather than other way round. Therefore our approach method consists in developing an e-assessment based tool that teachers can easily use and students will have fun in doing assessments. During the framework conceptualization some questions were raised. What are the advantages in using such learning space compared ...

Abstact–Formative assessment gives information about the current degree of knowledge acquisition within learning activities made by students. Although being an important mechanism for learning adjustments, it isn't very often used in high school classes. In this paper we present a Web 2.0 tool usage in a Portuguese high school context in order to increase the formative assessment levels in those courses. The approach method consists in developing a gadget, to incorporate formative assessment in Hi5, a social network site, ...

Abstract. Our focus is on a Web-based Knowledge Portal for educational purposes. We consider a distributed system for information retrieval and document collection, which will enable different forms of knowledge construction. Also accessing information from multiple information systems and integrating them into a knowledge portal are key issues in developing our system. Some tools are considered to be used namely ontologies, concept maps and software agents to deal with semantic issues.

We discuss the application of Modular Neural Networks (MNNs) for high-performance, high rate classification of HEP events, both in terms of the algorithms involved, and their hardware implementation. Three different problems were treated successfully with the MNN framework, namely the identification of electrons and photons in the first and second trigger levels of the CMS experiment and the classification of

In this paper we describe a visualization system for an emergency simulation. We start by presenting a flooding emergency case scenario and all the elements that are involved in it. Then we describe the design decisions that were made in order to create a credible representation of the scene. This includes using a game engine to render the scenario using a three-dimensional terrain, with objects and information retrieved from geographic information systems. Additionally we describe experiments with new touch and tangible devices that support a war table like interaction with the simulation. We further describe our ideas for the emergency interface and conclude describing the directions for future work.

This article addresses the problem of creating interactive mixed reality applications where virtual objects interact in images of real world sce- narios. This is relevant to create games and architectural or space planning applications that interact with visual elements in the images such as walls, floors and empty spaces. These scenarios are intended to be captured by the users with regular cameras or using previously taken photographs. Introduc- ing virtual objects in photographs presents several challenges, such as pose estimation and the creation of a visually correct interaction between virtual objects and the boundaries of the scene. The two main research questions ad- dressed in this article include, the study of the feasibility of creating interactive augmented reality (AR) applications where virtual objects interact in a real world scenario using the image detected high-level features and, also, verifying if untrained users are capable and motivated enough to perform AR initial- ization steps. The proposed system detects the scene automatically from an image with additional features obtained using basic annotations from the user. This operation is significantly simple to accommodate the needs of non-expert users. The system analyzes one or more photos captured by the user and de- tects high-level features such as vanishing points, floor and scene orientation. Using these features it will be possible to create mixed and augmented reality applications where the user interactively introduces virtual objects that blend with the picture in real time and respond to the physical environment. To validate the solution several system tests are described and compared using available external image datasets.