Abstract
O Brasil tem desenvolvido recentemente diversos programas de inclusão digital a partir das escolas públicas, envolvendo ações como a entrega de equipamentos, a conexão à Internet e a capacitação no uso pedagógico das tecnologias digitais (TD). No Rio Grande do Sul, o Programa Província de São Pedro (PPSP) tem como meta distribuir netbooks e tablets para professores e alunos, priorizando, inicialmente, escolas estaduais localizadas em cidades que desenvolvem o Programa Territórios de Paz (PTP). Qual o sentido de associar um Programa educacional de inclusão digital a um Programa de segurança pública? O presente artigo apresenta uma cartografia inicial das ações nos contextos do PPSP e do PTP a fim de investigar as articulações entre tais Programas. Apresenta a cartografia digital como proposição metodológica capaz de promover articulações entre as políticas de cultura e de educação de tais Programas, bem como caminho para a reconfiguração das políticas da atenção nas escolas.

Abstract
Frequently, research on management education does not take into account the role of Information Technology as a key resource to support teaching and learning processes. In this article, the authors explore the current applications of Three Dimensional Virtual Worlds (3DVW) for Management education. The authors researched the educational institutions subscribed to Second Life (SL) (http://secondlife.com/), as it is one of the most popular open 3DVW available worldwide. The results reveal that only 31% of the institutions that answered the authors' questionnaire actually use SL in Management education. Regarding the acceptance of SL in Management education, one third of the 15 institutions using it claim that it has been well received and accepted both by students and lecturers/professors. These results lead to several questions for further research and development of practices concerning the use of 3DVW for Management education.

Abstract
The potential of virtual world technologies to improve teaching and learning has been recognized in recent years, creating new possibilities for teaching and learning processes, with virtual environments impacting the achievement of student learning and collaboration. Learning in Metaverses: Co-Existing in Real Virtuality discusses a better way to understand this new learning universe, exploring the possibilities of new social organization through the use of avatars in virtual worlds. Examining platforms such as Web 3D, metaverse, MDV3D, ECODI, hybrid living and sharing spaces, gamification, alternate reality, mingled reality, and augmented reality to evaluate the possibilities for their implementation in education, this reference book will be of use to academics, educators, students, researchers, gamers, and professionals.

Abstract

Abstract
While Cluster-Tree network topologies look promising for WSN applications with timeliness and energy-efficiency requirements, we are yet to witness its adoption in commercial and academic solutions. One of the arguments that hinder the use of these topologies concerns the lack of flexibility in adapting to changes in the network, such as in traffic flows. This paper presents a solution to enable these networks with the ability to self-adapt their clusters' duty-cycle and scheduling, to provide increased quality of service to multiple traffic flows. Importantly, our approach enables a network to change its cluster scheduling without requiring long inaccessibility times or the re-association of the nodes. We show how to apply our methodology to the case of IEEE 802.15.4/ZigBee cluster-tree WSNs without significant changes to the protocol. Finally, we analyze and demonstrate the validity of our methodology through a comprehensive simulation and experimental validation using commercially available technology on a Structural Health Monitoring application scenario.

Abstract
The methods used to produce news rankings by recommender systems are not public and it is unclear if they reflect the real importance assigned by readers. We address the task of trying to forecast the number of times a news item will be tweeted, as a proxy for the importance assigned by its readers. We focus on methods for accurately forecasting which news will have a high number of tweets as these are the key for accurate recommendations. This type of news is rare and this creates difficulties to standard prediction methods. Recent research has shown that most models will fail on tasks where the goal is accuracy on a small sub-set of rare values of the target variable. In order to overcome this, resampling approaches with several methods for handling imbalanced regression tasks were tested in our domain. This paper describes and discusses the results of these experimental comparisons.