Gamification or Gaming Techniques Applied to Pedagogy Foundations of the Cognitive Neuroscience Applied to the Education

The game in addition to a ludic activity has didactic applications in different stages of the learning process of a subject The game has components and pedagogic cultural social emotional and neurocognitive significances which position it as an educational resource of excellence when designing teaching strategies The aim of this article was to describe the foundations of the gamification applied to teaching from the perspective of the cognitive neuroscience with a focus in the recent developments which provide the studies of neuroimages and neurophysiology and its utilization in the classroom environmen

End-to-End Joint Antenna Selection Strategy and Distributed Compress and Forward Strategy for Relay Channels

Multi-hop relay channels use multiple relay stages, each with multiple relay nodes, to facilitate communication between a source and destination. Previously, distributed space-time codes were proposed to maximize the achievable diversity-multiplexing tradeoff, however, they fail to achieve all the points of the optimal diversity-multiplexing tradeoff. In the presence of a low-rate feedback link from the destination to each relay stage and the source, this paper proposes an end-to-end antenna selection (EEAS) strategy as an alternative to distributed space-time codes. The EEAS strategy uses a subset of antennas of each relay stage for transmission of the source signal to the destination with amplify and forwarding at each relay stage. The subsets are chosen such that they maximize the end-to-end mutual information at the destination. The EEAS strategy achieves the corner points of the optimal diversity-multiplexing tradeoff (corresponding to maximum diversity gain and maximum multiplexing gain) and achieves better diversity gain at intermediate values of multiplexing gain, versus the best known distributed space-time coding strategies. A distributed compress and forward (CF) strategy is also proposed to achieve all points of the optimal diversity-multiplexing tradeoff for a two-hop relay channel with multiple relay nodes.Comment: Accepted for publication in the special issue on cooperative communication in the Eurasip Journal on Wireless Communication and Networkin

MEVEA: ¿ESPACIOS DE ENSEÑANZA SIN LÍMITES?

RESUMENLa  heterogeneidad  socioeconómica  determinó  sesgos  en  nuestros  resultados obtenidos,  desde  la  investigación  referente  al  uso,  adherencia  subjetiva  y rendimiento por parte de nuestros alumnos, frente al espacio virtual de enseñanza y aprendizaje (EVEA). Determinamos  la existencia de usuarios que  ingresaban con  instrumentos  y  conexión  móviles,  quienes  presentaban  especifcidades sociopedagógicas  y  constituían  un  subtipo  de  EVEA móviles  (mEVEA).  Por medio  de  esta  investigación,  buscamos  evaluar  la  adhesión  y  prevalencia  de uso  de  los mEVEA  en  alumnos  cursantes  de Anatomía,  con  especifcación  de sus  características  socioeconómicas.  Se  trata  de  un  estudio  observacional  y transversal, mediante una encuesta estandarizada, normalizada y anónima, con sistema de elección múltiple, que  incluyó 285 alumnos de Anatomía en el año 2011. Se aplicaron parámetros estadísticos y se cumplió con requisitos éticos y legales. Obtuvimos que  los  alumnos  con  tareas  laborales  (62,46%)  registraron mayor cantidad de  ingresos desde computadoras con conexiones móviles y de instrumentos  tecnológicos utilizados para el desarrollo de  las actividades en el EVEA. Los usuarios de mEVEA refrieron ingresar desde lugares públicos cerrados y  consideraron  que  la  herramienta móvil  los  ayudó  a  compartir  información, poder fjar e interrelacionar mejor los conceptos, mediante estrategias educativas análogas.Palabras clave: Espacio virtual, enseñanza, anatomía.MVLTS: TEACHING SPACES WITHOUT LIMITS?  ABSTRACTSocioeconomic  heterogeneity  determined  bias  in  our  obtained  results  on research  regarding  student  use,  subjective  adherence  and  performance  in  a virtual learning and teaching space (VLTS).   We determined the existence of users who  signed  in with mobile  tools  and  connections, which  had  specifc socio-pedagogies  and  constituted  a  sub-type  of  mobile  VLTS  (mVLTS). Through this investigation, we sought to evaluate the adhesion and prevalence of  the  use  of  mVLTS  by  students  enrolled  in  Anatomy,  specifying  their socioeconomic  characteristics.   This  is  a  cross-sectional observational  study using a standardized, normalized and anonymous multiple-choice questionnaire that  included  285 Anatomy  students  in  2011.    Statistical  parameters  were applied  and  it  complies with  legal  and  ethical  requirements.   We  observed that  students with  job duties  (62.46%)  recorded higher  log-in numbers  from computers  with  mobile  connections  and  mobile  technological  instruments used for the development of mVLTS activities. mVLTS users reported logging in  from  enclosed  public  spaces  and  considered  that  the mobile  tool  helped them  share  information, fxate  and  interconnect  the  concepts better,  through analogous educational strategies.Key words: Virtual space, learning, anatom

Data-precoded algorithm for multiple-relay-assisted systems

A data-precoded relay-assisted (RA) scheme is proposed for a system cooperating with multiple relay nodes (RNs), each equipped with either a single-antenna or a two-antenna array. The classical RA systems using distributed space-time/frequency coding algorithms, because of the half-duplex constraint at the relays, require the use of a higher order constellation than in the case of a continuous link transmission from the base station to the user terminal. This implies a penalty in the power efficiency. The proposed precoding algorithm exploits the relation between QPSK and 4 L -QAM, by alternately transmitting through L relays, achieving full diversity, while significantly reducing power penalty. This algorithm explores the situations where a direct path (DP) is not available or has poor quality, and it is a promising solution to extend coverage or increase system capacity. We present the analytical derivation of the gain obtained with the data-precoded algorithm in comparison with distributed space-frequency block code (SFBC) ones. Furthermore, analysis of the pairwise error probability of the proposed algorithm is derived and confirmed with numerical results. We evaluate the performance of the proposed scheme and compare it relatively to the equivalent distributed SFBC scheme employing 16-QAM and non-cooperative schemes, for several link quality scenarios and scheme configurations, highlighting the advantages of the proposed scheme

Privacy-Preserving Release of Spatio-temporal Density

International audienceIn today’s digital society, increasing amounts of contextually rich spatio-temporal information are collected and used, e.g., for knowledge-based decision making, research purposes, optimizing operational phases of city management, planning infrastructure networks, or developing timetables for public transportation with an increasingly autonomous vehicle fleet. At the same time, however, publishing or sharing spatio-temporal data, even in aggregated form, is not always viable owing to the danger of violating individuals’ privacy, along with the related legal and ethical repercussions. In this chapter, we review some fundamental approaches for anonymizing and releasing spatio-temporal density, i.e., the number of individuals visiting a given set of locations as a function of time. These approaches follow different privacy models providing different privacy guarantees as well as accuracy of the released anonymized data. We demonstrate some sanitization (anonymization) techniques with provable privacy guarantees by releasing the spatio-temporal density of Paris, in France. We conclude that, in order to achieve meaningful accuracy, the sanitization process has to be carefully customized to the application and public characteristics of the spatio-temporal data