Els Amics i amigues de la lectura

Amics i amigues de lectura és una experiència d’aprenentatge servei en la que alumnes de l’assignatura de Teoria de l’Educació de les Facultats de Pedagogia i Formació del Professorat de la Universitat de Barcelona ajuden a millorar la competència lectora i a gaudir llegint a alumnes de diferents centres de Primària i Secundària. L’experiència es realitza en col·laboració amb el programa Èxit del Consorci d’Educació de Barcelona i el projecte Una altra lectura de la Fundació Adsis

El Wiki: un nou entorn afavoridor del treball en grups d'aprenentatge cooperatius

Aquest projecte presenta una prova pilot que s'ha desenvolupant en la diplomatura de Magisteri de la Facultat de Psicologia Ciències de l’Educació i l’Esport1 Blanquerna de la URL durant el curs 2008/09 en el marc del procés d'implantació dels crèdits ECTS en els futurs graus d'Educació Primària i Educació Infantil. L'experiència forma part dels projectes seleccionats per al disseny, la planificació i l’avaluació de mòduls docents i seminaris dels nous plans d'estudis de grau de la FPCEE. Les assignatures i professorat que han dut a terme l'experimentació són Bases psicopedagògiques de l'educació especial (9 crèdits) i les professores Annabel Fontanet Caparrós i Elisabeth Alomar Kurz; Didàctica de les ciències socials (10,5 crèdits), i el professor Francesc Riera Piferrer, ambdues de tercer curs conjuntament amb el suport del professor Jordi Simón Llovet, de Noves tecnologies aplicades a l'educació. L'objectiu principal del projecte ha estat organitzar i experimentar les assignatures anteriorment esmentades, amb un enfocament metodològic basat en equips d'aprenentatge cooperatius amb el suport TIC. Des del convenciment que el treball cooperatiu és una proposta didàctica molt eficaç per afavorir l'aprenentatge de tots els alumnes en una escola inclusiva, volem que els nostres estudiants -futurs mestres- aprenguin els continguts de les assignatures amb un plantejament de treball cooperatiu estable. L'experiència s'ha portat a terme amb 260 estudiants distribuïts en 52 grups de treball cooperatiu, dels quals 10 comparteixen les dues assignatures d’aquest projecte. Per al seguiment i elaboració del treball, s'ha escollit utilitzar els Wikis com a eina que facilita el treball cooperatiu, i així cada grup ha creat el seu wiki en wikispaces: http://www.wikispaces.com/site/for/teachers. Finalment, hem analitzat i valorat el grau de satisfacció dels estudiants i professorat que ha participat tant en el disseny com en la realització de l'experiència, la consecució dels objectius previstos, la valoració de les eines de treball en línia (on-line) com a afavoridores de l'aprenentatge cooperatiu en entorns d'educació presencials i la dedicació personal que ha suposat tant per als estudiants com per al professorat

Caracter??sticas de forma y contenido que predicen la capacidad discriminativa en ??tems de personalidad : un an??lisis basado en la Teor??a de Respuesta a los ??tems

Resumen tomado de la publicaci??n

Tecnologia: el factor temps

Conjunt d'articles amb anàlisis i reflexions sobre el factor temps l'àmbit de la tècnica des de diferents punts de vista

Presentació: qualitat d'ensenyament i finançament

Presentació a càrrec del director de l'Escola Politècnica superior sobre la nova ordenació dels ensenyaments universitaris i l’assoliment dels objectius de la declaració de Bolonya

Implementació dels Graus a l'EPS

Conferència emmarcada dins el III Workshop Biblioteca UdG en l'apartat de valoració de la implementació dels Graus: el punt de vista docent, on es parla de l'adaptació als nous estudis de Grau de l'Escola Politècnica Superior i de la influència de la Biblioteca en aquest procés

Multicast extension of unicast charging for QoS Services

In order to successfully deploy multicast services in QoS-aware networks, pricing architectures must take into account the particular characteristics of multicast sessions. With this objective, we propose a charging scheme for QoS multicast services, assuming that the unicast cost of each interconnecting link is determined and that such cost is expressed in terms of quality of service (QoS) parameters. Our scheme allows determining the cost distribution of a multicast session along a cost distribution tree (CDT), and basing such distribution in those pre-existing unicast cost functions. The paper discusses in detail the main characteristics of the problem in a realistic interdomain scenario and how the proposed scheme would contribute to its solution

A quality-based cost distribution charging scheme for QoS multicast networks

This paper presents a new charging scheme for cost distribution along a point-to-multipoint connection when destination nodes are responsible for the cost. The scheme focus on QoS considerations and a complete range of choices is presented. These choices go from a safe scheme for the network operator to a fair scheme to the customer. The in-between cases are also covered. Specific and general problems, like the incidence of users disconnecting dynamically is also discussed. The aim of this scheme is to encourage the users to disperse the resource demand instead of having a large number of direct connections to the source of the data, which would result in a higher than necessary bandwidth use from the source. This would benefit the overall performance of the network. The implementation of this task must balance between the necessity to offer a competitive service and the risk of not recovering such service cost for the network operator. Throughout this paper reference to multicast charging is made without making any reference to any specific category of service. The proposed scheme is also evaluated with the criteria set proposed in the European ATM charging project CANCAN

On the use of QoS requirements as base of multicast charging

We propose a charging scheme for cost distribution along a multicast tree when cost is the responsibility of the receivers. This scheme focuses on QoS considerations and it does not depend on any specific type of service. The scheme has been designed to be used as a bridge between unicast and multicast services, solving the problem of charging multicast services by means of unicast charging and existing QoS routing mechanisms. We also include a numerical comparison and discussions of the case of non-numerical or relative QoS and on the application to some service examples in order to give a better understanding of the proposal

Enhancing MPLS QoS routing algorithms by using the network protection degree paradigm

IP based networks still do not have the required degree of reliability required by new multimedia services, achieving such reliability will be crucial in the success or failure of the new Internet generation. Most of existing schemes for QoS routing do not take into consideration parameters concerning the quality of the protection, such as packet loss or restoration time. In this paper, we define a new paradigm to develop new protection strategies for building reliable MPLS networks, based on what we have called the network protection degree (NPD). This NPD consists of an a priori evaluation, the failure sensibility degree (FSD), which provides the failure probability and an a posteriori evaluation, the failure impact degree (FID), to determine the impact on the network in case of failure. Having mathematical formulated these components, we point out the most relevant components. Experimental results demonstrate the benefits of the utilization of the NPD, when used to enhance some current QoS routing algorithms to offer a certain degree of protection

Hybrid coordination of reinforcement learning-based behaviors for AUV control

This paper proposes a hybrid coordination method for behavior-based control architectures. The hybrid method takes advantages of the robustness and modularity in competitive approaches as well as optimized trajectories in cooperative ones. This paper shows the feasibility of applying this hybrid method with a 3D-navigation to an autonomous underwater vehicle (AUV). The behaviors are learnt online by means of reinforcement learning. A continuous Q-learning implemented with a feed-forward neural network is employed. Realistic simulations were carried out. The results obtained show the good performance of the hybrid method on behavior coordination as well as the convergence of the behaviors

Efficient learning of reactive robot behaviors with a Neural-Q_learning approach

The purpose of this paper is to propose a Neural-Q_learning approach designed for online learning of simple and reactive robot behaviors. In this approach, the Q_function is generalized by a multi-layer neural network allowing the use of continuous states and actions. The algorithm uses a database of the most recent learning samples to accelerate and guarantee the convergence. Each Neural-Q_learning function represents an independent, reactive and adaptive behavior which maps sensorial states to robot control actions. A group of these behaviors constitutes a reactive control scheme designed to fulfill simple missions. The paper centers on the description of the Neural-Q_learning based behaviors showing their performance with an underwater robot in a target following task. Real experiments demonstrate the convergence and stability of the learning system, pointing out its suitability for online robot learning. Advantages and limitations are discussed

Semi-online neural-Q_leaming for real-time robot learning

Reinforcement learning (RL) is a very suitable technique for robot learning, as it can learn in unknown environments and in real-time computation. The main difficulties in adapting classic RL algorithms to robotic systems are the generalization problem and the correct observation of the Markovian state. This paper attempts to solve the generalization problem by proposing the semi-online neural-Q_learning algorithm (SONQL). The algorithm uses the classic Q_learning technique with two modifications. First, a neural network (NN) approximates the Q_function allowing the use of continuous states and actions. Second, a database of the most representative learning samples accelerates and stabilizes the convergence. The term semi-online is referred to the fact that the algorithm uses the current but also past learning samples. However, the algorithm is able to learn in real-time while the robot is interacting with the environment. The paper shows simulated results with the "mountain-car" benchmark and, also, real results with an underwater robot in a target following behavior

Vision-based localization of an underwater robot in a structured environment

This paper presents a vision-based localization approach for an underwater robot in a structured environment. The system is based on a coded pattern placed on the bottom of a water tank and an onboard down looking camera. Main features are, absolute and map-based localization, landmark detection and tracking, and real-time computation (12.5 Hz). The proposed system provides three-dimensional position and orientation of the vehicle along with its velocity. Accuracy of the drift-free estimates is very high, allowing them to be used as feedback measures of a velocity-based low-level controller. The paper details the localization algorithm, by showing some graphical results, and the accuracy of the system

A behavior-based scheme using reinforcement learning for autonomous underwater vehicles

This paper presents a hybrid behavior-based scheme using reinforcement learning for high-level control of autonomous underwater vehicles (AUVs). Two main features of the presented approach are hybrid behavior coordination and semi on-line neural-Q_learning (SONQL). Hybrid behavior coordination takes advantages of robustness and modularity in the competitive approach as well as efficient trajectories in the cooperative approach. SONQL, a new continuous approach of the Q_learning algorithm with a multilayer neural network is used to learn behavior state/action mapping online. Experimental results show the feasibility of the presented approach for AUVs