Gamificação: modelagem de conteúdos para programas e aplicativos educativos no ambiente da TV digital interativa

With the deployment of Digital TV in Brazil, there is a need to foment the development and production of interactive audiovisual quality content, especially for programs that present educational messages from the entertainment concept - defined as Edutertainment. The objective of this study is to propose application of the gamification as a link of communication to encourage and modify user behavior, through a narrative that encourages intrinsic motivation for learning and entertainment in this media. This paper points out that there are few models of screenplays for applications production, particularly educational, with simultaneous interactive applications for television flow or complementary programming content offered. For this reason, a special attention is given to the screenplay, by virtue of inserting in its construction, the elements that make up the mechanics and dynamics of games. As a result, is shown the entry "Gamification-iDTV", which defines these two scenarios, as well as the development of a modeling methodology of a content and process, supported by conceptual maps, wireframes and roadmaps, substantiating the conception and elaboration of screenplay's prototype with elements of gamification for educational programs and its interaction applications.

Movimentos sociais, ecologia digital, mídias radicais e as narrativas anticapitalistas na esfera pública alternativa global

This article seeks to contribute to the debate on the importance of cultural collective producers of anti-capitalist content, ownership of digital ecology by subaltern segments, the creation of the opposition media to exclusionary globalization and the articulation of alternative and radical public sphere for the recent demonstrations policies in planetary scale. Data were collected in the first half of 2013, on a course completion project in vehicles with citizen journalism characteristics ["Portal Fórum", "Outras Palavras" and "Observatório da Imprensa"]. Partial these mapping results indicate that these manifestations inherited anti-capitalist demands of previous decades, and amplified in [by digitally pathways] in political demonstrations that swept those abrasive months in major cities worldwide.

Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.