Collaborative learning in a qeb-accessible workbench

Web-based course management and delivery is regarded by many institutions as a key factor in an increasingly competitive education and training world, but the systems currently available are largely unsatisfactory in terms of supporting collaborative work and access to practical science facilities. These limitations are less important in areas where “pen-and-paper” courseware is the mainstream, but become unacceptably restrictive when student assignments require real-time teamwork and access to laboratory equipment. This paper presents a web-accessible workbench for electronics design and test, which was developed in the scope of an European IST project entitled PEARL, with the aim of supporting two main features: full web access and collaborative learning facilities.

Metalearner based on Dynamic Neural Network for Strategic Bidding in electricity Markets

The restructuring of electricity markets, conducted to increase the competition in this sector, and decrease the electricity prices, brought with it an enormous increase in the complexity of the considered mechanisms. The electricity market became a complex and unpredictable environment, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. Software tools became, therefore, essential to provide simulation and decision support capabilities, in order to potentiate the involved players’ actions. This paper presents the development of a metalearner, applied to the decision support of electricity markets’ negotiation entities. The proposed metalearner executes a dynamic artificial neural network to create its own output, taking advantage on several learning algorithms implemented in ALBidS, an adaptive learning system that provides decision support to electricity markets’ players. The proposed metalearner considers different weights for each strategy, depending on its individual quality of performance. The results of the proposed method are studied and analyzed in scenarios based on real electricity markets’ data, using MASCEM - a multi-agent electricity market simulator that simulates market players’ operation in the market.

Design and implementation of 3D buildings integration for a Webgl-Based Virtual Globe: a case study of Valencian Cadastre and Fide Building Mode

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Learning joint representations for order and timing of perceptual-motor sequences: a dynamic neural field approach

Many of our everyday tasks require the control of the serial order and the timing of component actions. Using the dynamic neural field (DNF) framework, we address the learning of representations that support the performance of precisely time action sequences. In continuation of previous modeling work and robotics implementations, we ask specifically the question how feedback about executed actions might be used by the learning system to fine tune a joint memory representation of the ordinal and the temporal structure which has been initially acquired by observation. The perceptual memory is represented by a self-stabilized, multi-bump activity pattern of neurons encoding instances of a sensory event (e.g., color, position or pitch) which guides sequence learning. The strength of the population representation of each event is a function of elapsed time since sequence onset. We propose and test in simulations a simple learning rule that detects a mismatch between the expected and realized timing of events and adapts the activation strengths in order to compensate for the movement time needed to achieve the desired effect. The simulation results show that the effector-specific memory representation can be robustly recalled. We discuss the impact of the fast, activation-based learning that the DNF framework provides for robotics applications.

Off-line simulation inspires insight: a neurodynamics approach to efficient robot task learning

There is currently an increasing demand for robots able to acquire the sequential organization of tasks from social learning interactions with ordinary people. Interactive learning-by-demonstration and communication is a promising research topic in current robotics research. However, the efficient acquisition of generalized task representations that allow the robot to adapt to different users and contexts is a major challenge. In this paper, we present a dynamic neural field (DNF) model that is inspired by the hypothesis that the nervous system uses the off-line re-activation of initial memory traces to incrementally incorporate new information into structured knowledge. To achieve this, the model combines fast activation-based learning to robustly represent sequential information from single task demonstrations with slower, weight-based learning during internal simulations to establish longer-term associations between neural populations representing individual subtasks. The efficiency of the learning process is tested in an assembly paradigm in which the humanoid robot ARoS learns to construct a toy vehicle from its parts. User demonstrations with different serial orders together with the correction of initial prediction errors allow the robot to acquire generalized task knowledge about possible serial orders and the longer term dependencies between subgoals in very few social learning interactions. This success is shown in a joint action scenario in which ARoS uses the newly acquired assembly plan to construct the toy together with a human partner.

General Practitioners' willingness to pay for continuing medical education in a fee-for-service universal coverage health care system

Background: Sponsoring of physicians meetings by life science companies has led to reduced participation fees but might influence physician's prescription practices. A ban on such sponsoring may increase participation fees. We aimed to evaluate factors associated with physicians' willingness to pay for medical meetings, their position on the sponsoring of medical meetings and their opinion on alternative financing options. Methods: An anonymous web-based questionnaire was sent to 447 general practitioners in one state in Switzerland, identified through their affiliation to a medical association. The questionnaire evaluated physicians' willingness to pay for medical meetings, their perception of a bias in prescription practices induced by commercial support, their opinion on the introduction of a binding legislation and alternative financing options, their frequency of exchange with sales representatives and other relevant socioeconomic factors. We built a multivariate predictor logistic regression model to identify determinants of willingness to pay. Results: Of the 115 physicians who responded (response rate 26%), 48% were willing to pay more than what they currently pay for congresses, 79% disagreed that commercial support introduced a bias in their prescription practices and 61% disagreed that it introduced a bias in their colleagues' prescription practices. Based on the multivariate logistic regression, perception of a bias in peers prescription practices (OR=7.47, 95% CI 1.65-38.18) and group practice structure (OR=4.62, 95% CI 1.34-22.29) were significantly associated with an increase in willingness to pay. Two thirds (76%) of physicians did not support the introduction of a binding legislation and 53% were in favour of creating a general fund administered by an independent body. Conclusion: Our results suggest that almost half of physicians surveyed are willing to pay more than what they currently pay for congresses. Predictors of an increase in physicians' willingness to pay were perception of the influence of bias in peers prescription practices and group practice structure. Most responders did not agree that sponsoring introduced prescribing bias nor did they support the 2 introduction of a binding legislation prohibiting sponsoring but a majority did agree to an independent body that would centrally administer a general fund.

Aplicació Web de Gestió de Cursos TFC - J2EE

Aquest treball de fi de carrera es desenvolupa dins l'àrea de J2EE. Es basa en el desenvolupament d'una aplicació web destinada a gestionar els cursos que s'imparteixen en un ajuntament pels habitants del poble que ho desitjin.

Filtre de pàgines web

Aquest projecte final de carrera té la finalitat d'elaborar un filtre de continguts Web de paraula clau. S'ha tractat exclusivament de crear una aplicació que funcioni sobre el protocol http controlant les dades que circulen a través del port 80.

RDF i Web Semàntica

En aquest treball s'explica el concepte de Web Semàntica, junt amb la seva estructura i els diferents termes relacionats amb aquesta idea. A més, es fa especial atenció al paper dels sistemes gestors de bases de dades en aquest camp, tenint en compte sobretot el nivell de compatibilitat que ofereixen aquests per a tracta dades en notació RDF, basada en el llenguatge XML.

Aplicació de la Web Semàntica : Anotació semàntica de pàgines Web

Aquest treball, basant-se en una aplicació concreta d'aquest concepte de web semàntic anomenada anotació semàntica de pàgines web, presenta els conceptes i els elements propis, com ara les ontologies i els llenguatges semàntics, i també un cas pràctic de disseny i desenvolupament d'una ontologia i una anotació semàntica de les pàgines d'un web a partir de l'ontologia creada.

Creació d'un entorn web de treball per a una biblioteca : Fent ús de Struts, Tiles i Hibernate

El següent projecte final de carrera vol assolir assolir la creació d'un entorn web de treball per a una Biblioteca. L'aplicació al món real es base en un mòdul administratiu, que podrà ser utilitzat pels treballadors de la pròpia Biblioteca i un mòdul que servirà de consulta als socis.

Llenguatges de consulta en l'àmbit de la Web Semàntica : Cas d'estudi SPARQL

El projecte es basa en estudiar i avaluar diferents sistemes gestors de bases de dades (SGBD) per desar informació dins del context de la Web Semàntica., tal com es veurà en el capítol 4. La Web Semàntica permet dotar de significat al contingut textual de la web, permetent que sigui interpretable per una màquina.

Ús de l'entorn virtual LAMS per a la creació de seqüències didàctiques col·laboratives i personalitzables

LAMS (Learning Activity Management System), com a projecte de programari lliure basat en tecnologies web, va ser alliberat a la comunitat d'usuaris i desenvolupadors el Febrer del 2005, des d'aquesta data fins avui s'han produït una sèrie d'avenços i innovacions que ha permès fer extensiu l'ús d'aquest entorn a persones amb pocs coneixements de programació i relacionades amb la pedagogia i el disseny instruccional. La investigació portada a terme ha permès a un grup d'investigadors de la Universitat Oberta de Catalunya (UOC) aprofundir en el disseny instruccional de seqüències didàctiques amb LAMS potenciant dos aspectes clau, el treball col·laboratiu virtual i també la personalització de l'aprenentatge per part de l'estudiant. Durant la recerca es va elaborar una guia de disseny instruccional per implementar activitats didàctiques amb LAMS que tinguin les dos característiques anteriorment descrites, i va servir com a referència per portar a terme una prova pilot amb estudiants de la universitat per tal de valorar el seu grau de satisfacció amb el procés d'aprenentatge mitjançant l'ús de l'entorn virtual LAMS. L'estudi revela un elevat grau de satisfacció en quant als dos factors examinats, d'una banda, els estudiants consideren que les activitats proporcionades afavoreixen la construcció de coneixement col·lectiu i, d'altra banda, també consideren que és molt positiu que es pugui personalitzar l'aprenentatge mitjançant l'elecció de les activitats a fer per adquirir una competència específica.

Open to the users' needs : combining user-centered design, standards and open source software

This case study introduces our continuous work to enhance the virtual classroom in order to provide faculty and students with an environment open to their needs, compliant with learning standards and, therefore compatible with other e-learning environments, and based on open source software. The result is a modulable, sustainable and interoperable learning environment that can be adapted to different teaching and learning situations by incorporating the LMS integrated tools as well as wikis, blogs, forums and Moodle activities among others.

The Value of Imperfection : the Wabi-Sabi Principle in Aesthetics and Learning

OER-based learning has the potential to overcome many shortcomings and problems of traditional education. It is not hampered by IP restrictions; can depend on collaborative, cumulative, iterative refinement of resources; and the digital form provides unprecedented flexibility with respect to configuration and delivery. The OER community is a progressive group of educators and learners with decades of learning research to draw from, who know that we must prepare learners for an evolving and diverse reality. Despite this OER tends to replicate the unsuccessful characteristics of traditional education. To remedy this we may need to remember the importance of imperfection, mistakes, problems, disagreement, and the incomplete for engaged learning, and relinquish our notions of perfection, acknowledging that learners learn differently and we need diverse learners. We must stretch our perceptions of quality and provide mechanisms for engaging the incredible pool of educators globally to fulfill the promise of inclusive education.