The quality of distance learning courses is determined by an appropriate organization of material and learning forms. Therefore it should be taken into consideration, among other factors, the history of success and failure of previous achievements of the course to be offered and the specific profile of the new class of students. This paper proposes an information visualization environment based on the data of the Learning Analytics of a discipline, that supports the teacher to produce improvements in new editions of a course. It should also be possible to monitor runtime student progress and identify potential problems with the Instructional Design of a discipline.
Resumo.A qualidade do aprendizado no Ensino a Distânciaé determinada por uma organização adequada do material e das formas de ensino. Para tal, deverá ser levado em consideração, entre outros fatores, o histórico de sucessos e insucessos de realizações anteriores das disciplinas e o perfil das novas turmas de alunos. Este trabalho propõe a concepção de formas de visualização dos dados obtidos pelo Learning Analytics de uma disciplina que possibilite ao professor a incorporação de melhorias em novas edições de um curso baseado em edições anteriores do mesmo. Também deverá ser possível acompanhar, em tempo de execução, o progresso do aluno e identificar possíveis problemas no Design Instrucional de uma disciplina.Partindo deste ponto de vista, a análise dos dados computacionais que foram processados e das informações que foram geradas pode ser apoiada por resumos em forma
Distributed Transactional Memory (DTM) is a concurrency mechanism aimed at simplifying distributed programming by allowing operations to execute atomically, mirroring the well-known transaction model of relational databases. DTM can play a fundamental role in the coordination of participants in mobile distributed applications. Most DTM solutions follow a full replication scheme, in spite of recent studies showing that partial replication approaches can present gains in scalability by reducing the amount of data stored at each node. This paper investigates the role of replica location in DTMs. The goal is to understand the effect of latency on the DTM's system performance in face of judicious replica distribution, taking into consideration the locations where data is more frequently accessed.
International audienceCyber foraging seeks to expand the capabilities and battery life of mobile devices by offloading intensive computations to nearby computing nodes (the surrogates). Although promising, current approaches to cyber foraging tend to impose a strict separation between the application state maintained on the mobile device, and data processed on the surrogates. In this paper, we argue that this separation limits the applicability of cyber foraging, and explore how state sharing could be implemented in practice
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