El despliegue de un servicio de préstamo y consulta de libros electrónicos : la experiencia de la Biblioteca Virtual de la Universitat Oberta de Catalunya (BUOC)

La Biblioteca de la UOC (BUOC) ha ofert durant tres mesos (octubre-desembre09), en fase de prova pilot, un servei de consulta i préstec de lectors dellibres electrònics (e-readers). Aquest nou desplegament s'ha desenvolupat d'acordamb l'aposta general de la Universitat per la innovació en tecnologies aplicades al'ensenyament, i la voluntat de potenciar les col·leccions de llibres electrònics i l'úsdels dispositius de lectura de llibres electrònics com una extensió més de latecnologia del Campus 5.0, en el suport a l'aprenentatge dels estudiants durant laseva formació a la Universitat. Aquest treball presenta en detall les especificacionsde la prova pilot, a més de contenir una anàlisi i una avaluació dels resultatsobtinguts: punts forts i punts febles, i relació dels aspectes que cal millorar i modificaramb vista a la consolidació final del servei.

La gestió dels recursos documentals a les aules de la UOC

La gestió dels recursos documentals a les aules de la UOC es fa de manera compartida entre el professorat i la Biblioteca de la Universitat. La responsabilitat dels continguts que trobem com a 'recursos de l'aula' i de l'actualització d'aquests recau en el professor/a responsable de l'assignatura que és qui decideix quins recursos electrònics han de tenir les aules de les seves assignatures i comunica a la Biblioteca aquests recursos i les possibles actualitzacions i/o modificacions que cal fer-hi. La gestió d'aquests recursos que es fa des de la biblioteca és un element clau perquè, a través d'aquest procés, la biblioteca esdevingui un element realment facilitador de l'aprenentatge i la docència, i situa la biblioteca com un element central en el model d'aprenentatge de la UOC. S'inclou al final de la presentació un seguit de recomanacions per a l'èxit dels recursos documentals a les aules virtuals.

La gestió dels recursos documentals a les aules de la Universitat Oberta de Catalunya

The management of the documental resources in the classrooms of the UOC is shared between the teaching staff and the Library of the University. The responsibility of the contents that we find as "resources of the classroom" and updating these falls on the teacher responsible for the course which is the one who decides which electronic resources must have the classrooms of his/her courses and communicates these resources and the possible updates or modifications to the Library. The management of these resources done from the library is a key element because, through this process, the library becomes a really facilitating element of the learning and the teaching, and places the library like a central element in the learning model of the UOC. A series of recommendations for the success of the documental resources in the virtual classrooms are included at the end of the presentation.

The deployment of an e-book consultation and loan service : the experience of the Open University of Catalonia Library

La Biblioteca de la UOC (UOC Library) ha ofert durant tres mesos (octubre-desembre 09), en fase de prova pilot, un servei de consulta i préstec de lectors de llibres electrònics (e-readers). Aquest nou desplegament s'ha desenvolupat en consonància amb l'aposta general de la Universitat en innovació en tecnologies aplicades a l'educació, i la voluntat de potenciar les col·leccions de llibres electrònics i l'ús dels dispositius de lectura de llibres electrònics com una extensió més de la tecnologia del Campus 5.0, en el suport a l'aprenentatge dels seus estudiants durant la seva formació a la Universitat. Aquest treball presenta en detall les especificacions de la prova pilot, a més de contenir una anàlisi i avaluació dels resultats obtinguts: punts forts i punts febles, relació dels aspectes a millorar i modificar, de cara a la consolidació final del servei.

La gestión de los recursos digitales en una biblioteca virtual : la Biblioteca virtual de la UOC

Les Biblioteques i Centres de Documentació han exercit sempre un paper molt important en el desenvolupament de l'aprenentatge, de la docència i de la investigació, però el canvi experimentat en aquests últims anys en l'àmbit docent, ha potenciat la funció d'aquest tipus de centres que han incorporat paulatinament una gran quantitat i varietat de recursos multimèdia d'informació, dissenyant i incorporant al mateix temps sistemes i programes de gestió que permetin un accés fàcil, amigable i eficient a aquests recursos. En el present article s'exposa l'experiència d'una biblioteca / centre de documentació virtual, per donar solució a una realitat que a poc a poc estan assumint la majoria de biblioteques universitàries espanyoles.

Testing Delivery Systems in Transnational virtual learning: the vocational management training for the european tourism industry (VocMat) case study

This article discusses the lessons learned from developing and delivering the Vocational Management Training for the European Tourism Industry (VocMat) online training programme, which was aimed at providing flexible, online distance learning for the European tourism industry. The programme was designed to address managers ‘need for flexible, senior management level training which they could access at a time and place which fitted in with their working and non-work commitments. The authors present two main approaches to using the Virtual Learning Environment, the feedback from the participants, and the implications of online Technology in extending tourism training opportunities

Using problem-based learning for introducing producer theory and market structure in intermediate microeconomics

This paper shows how instructors can use the problem‐based learning method to introduce producer theory and market structure in intermediate microeconomics courses. The paper proposes a framework where different decision problems are presented to students, who are asked to imagine that they are the managers of a firm who need to solve a problem in a particular business setting. In this setting, the instructors’ role isto provide both guidance to facilitate student learning and content knowledge on a just‐in‐time basis

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

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

Policy gradient based Reinforcement Learning for real autonomous underwater cable tracking

This paper proposes a field application of a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is characterized by using a direct policy search method for learning the internal state/action mapping. Policy only algorithms may suffer from long convergence times when dealing with real robotics. In order to speed up the process, the learning phase has been carried out in a simulated environment and, in a second step, the policy has been transferred and tested successfully on a real robot. Future steps plan to continue the learning process on-line while on the real robot while performing the mentioned task. We demonstrate its feasibility with real experiments on the underwater robot ICTINEU AUV

Autonomous underwater vehicle control using reinforcement learning policy search methods

Autonomous underwater vehicles (AUV) represent a challenging control problem with complex, noisy, dynamics. Nowadays, not only the continuous scientific advances in underwater robotics but the increasing number of subsea missions and its complexity ask for an automatization of submarine processes. This paper proposes a high-level control system for solving the action selection problem of an autonomous robot. The system is characterized by the use of reinforcement learning direct policy search methods (RLDPS) for learning the internal state/action mapping of some behaviors. We demonstrate its feasibility with simulated experiments using the model of our underwater robot URIS in a target following task