Sistema CSCW para la ense??anza de composici??n escrita basado en una interfaz de l??piz electr??nico

Estudiar la aplicabilidad de t??cnicas CSCW (Computer Supported Collaborative Work) en el trabajo diario, tanto en un aula, como en educaci??n a distancia. Analizar la idoneidad de las distintas plataformas de redes subyacentes, sistemas operativos, etc., as?? como estudiar otros aspectos de CSCW, como seguridad y registro de usuarios, ergonom??a... Dise??ar y desarrollar el prototipo ya que es necesario tener una aplicaci??n software que pudiera implantarse cuanto antes y con el m??ximo nivel de funcionalidad. Comparar el rendimiento de ordenadores basados en l??piz, con los ordenadores tradicionales port??tiles o de sobremesa ya que deben probarse nuevos m??todos de interacci??n con los ordenadores. Se pretende estudiar los problemas de CSCW (concurrencias, coordinaci??n, derechos,...) asociados al car??cter recursivo de la escritura y la interacci??n entre un grupo peque??o de estudiantes y el profesor, creando as?? una clase electr??nica. Se decide crear un sistema que pueda servir de apoyo a los alumnos de la asignatura 'T??cnica de escritura' impartido en la Facultad de Educaci??n. Se estudia la aplicaci??n de los ordenadores y las redes como elementos de apoyo a la ense??anza, especialmente al aprendizaje de la composici??n escrita, tanto de forma individual, como de forma cooperativa, incluyendo los m??todos de an??lisis de los textos generados por los alumnos. Se hace una rese??a hist??rica del Trabajo Coperativo Soportado por Ordenador (CSCW) present??ndose las distintas clasificaciones y arquitecturas existentes para estos sistemas, vi??ndose las caracter??sticas que las difeencian y haciendo una comparaci??n con los del sistema propuesto. Se tratan las interfaces multiusuario y sus implicaciones de dise??o, comentando los distintos problemas que surgen cuando hay que implementar un sistema CSCW y describi??ndose las soluciones adoptadas. Durante los dos a??os de utilizaci??n del sistema como apoyo a la signatura 'T??cnicas de escritura' han ido surgiendo distintos problemas tanto del tipo funcional, como inform??tico y-o telem??tico, cuyas soluciones m??s importantes han sido: consciencia del espacio de trabajo compartido, implementaci??n de roles y organizaci??n del trabajo en las fases cooperativas, soporte adecuado para la comunicaci??n, almacenamiento de la informaci??n generada por la interfaz basada en l??piz electr??nico, almacenamiento y recupaeraci??n del trabajo de sesiones anteriores y tama??o de cada ventana de trabajo. En la presente tesis se ha dise??ado e implantado un nuevo sistema CSCW basado en una interfaz de l??piz electr??nico para la ense??anza y aprendizaje de la composici??n de textos. El sistema, llamado PENCACOLAS (PEN Computer Aided Composing COLlAborative System) permite la interacci??n entre alumnos (grupos de 2 ?? 3) y la supervisi??n e interacci??n con el profesor, posibilita el paso del alumno por las distintas fases que subyacen en el proceso de composici??n de un documento, dota tanto al profesor como a los alumnos de una interfaz que les permite visualizar el trabajo de los dem??s e intervenir en ciertas circunstancias, permite la creaci??n de las llamadas aulas virtuales.

Desarrollo de sistemas groupware basado en modelos : integración con el Proceso de Desarrollo de Software.

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Transformaci??n de interfaces abstractas a concretas para la obtenci??n de IU

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Generación de interfaces de Usuarios para Ambientes Colaborativos : escritura en Grupo.

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Assessment of the usability of the 'alpha' version of the prototype 'Octopus'-application of the heuristic evaluation model of user's graphic interfaces. 'Evaluación de la utilidad de la versión 'alfa' del prototipo 'Octopus'-uso del modelo de evaluación heurístico de los interfaces gráficos del usuario'.

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Lenguajes y especificaciones para la generaci??n de interfaces de usuario

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La din??mica del capital humano y las interfaces del nuevo entorno

El art??culo forma parte de la secci??n ???Discursos y contextos??? del monogr??fico ???Los contenidos???.

A new competence-based approach for personalizing MOOCs in a mobile collaborative and networked environment

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Elimination of collaborative inhibition effect using the Method of Loci

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Didactics–promoting collaborative work and personal learning environment. Critical, creative and autonomous roles in a competitive society

School has evolved from a place where knowledge is provided to a place where learners are helped to develop their professional and social skills. Consequently, education must evolve through big challenges in order to face the changes of society in the XXIst century

Selenium cycling in volcanic environments: the role of soils as reactive interfaces

Selenium (Se) is an element with important health implications that is emitted in significant amounts from volcanoes. Attracted by the fertility of volcanic soils, around 10% of the world population lives within 100 km of an active volcano. Nevertheless, the behaviour of Se in volcanic environments is poorly understood. Therefore, the main aim of this thesis is to investigate the role of soils in the Se cycling in volcanic environments. Prior to the geochemical studies, precise and accurate methods for the determination of Se contents, speciation and isotopic signatures were developed. Afterwards, a combination of field studies and lab controlled experiments were performed with soils from two contrasting European volcanic settings: Mount Etna in Sicily (Italy) and Mount Teide in Tenerife (Spain). The results showed a strong link between Se behaviour and soil development, indicating that Se mobility in volcanic soils is controlled by sorption processes and soil mineralogy.

Collaborative recommender agents based on case-based reasoning and trust

La comunitat científica que treballa en Intel·ligència Artificial (IA) ha dut a terme una gran quantitat de treball en com la IA pot ajudar a les persones a trobar el que volen dins d'Internet. La idea dels sistemes recomanadors ha estat extensament acceptada pels usuaris. La tasca principal d'un sistema recomanador és localitzar ítems, fonts d'informació i persones relacionades amb els interessos i preferències d'una persona o d'un grup de persones. Això comporta la construcció de models d'usuari i l'habilitat d'anticipar i predir les preferències de l'usuari. Aquesta tesi està focalitzada en l'estudi de tècniques d'IA que millorin el rendiment dels sistemes recomanadors. Inicialment, s'ha dut a terme un anàlisis detallat de l'actual estat de l'art en aquest camp. Aquest treball ha estat organitzat en forma de taxonomia on els sistemes recomanadors existents a Internet es classifiquen en 8 dimensions generals. Aquesta taxonomia ens aporta una base de coneixement indispensable pel disseny de la nostra proposta. El raonament basat en casos (CBR) és un paradigma per aprendre i raonar a partir de la experiència adequat per sistemes recomanadors degut als seus fonaments en el raonament humà. Aquesta tesi planteja una nova proposta de CBR aplicat al camp de la recomanació i un mecanisme d'oblit per perfils basats en casos que controla la rellevància i edat de les experiències passades. Els resultats experimentals demostren que aquesta proposta adapta millor els perfils als usuaris i soluciona el problema de la utilitat que pateixen el sistemes basats en CBR. Els sistemes recomanadors milloren espectacularment la qualitat dels resultats quan informació sobre els altres usuaris és utilitzada quan es recomana a un usuari concret. Aquesta tesi proposa l'agentificació dels sistemes recomanadors per tal de treure profit de propietats interessants dels agents com ara la proactivitat, la encapsulació o l'habilitat social. La col·laboració entre agents es realitza a partir del mètode de filtratge basat en la opinió i del mètode col·laboratiu de filtratge a partir de confiança. Els dos mètodes es basen en un model social de confiança que fa que els agents siguin menys vulnerables als altres quan col·laboren. Els resultats experimentals demostren que els agents recomanadors col·laboratius proposats milloren el rendiment del sistema mentre que preserven la privacitat de les dades personals de l'usuari. Finalment, aquesta tesi també proposa un procediment per avaluar sistemes recomanadors que permet la discussió científica dels resultats. Aquesta proposta simula el comportament dels usuaris al llarg del temps basat en perfils d'usuari reals. Esperem que aquesta metodologia d'avaluació contribueixi al progrés d'aquesta àrea de recerca.

Collaborative business networks evaluation of technological tools for decision support making

Nowadays, companies are living great difficulties on managing their business due to constant and unpredictable economic market fluctuations. Recent changes in market trends (such as the constant demand for new products and services, mass customization and the drastic reduction of delivery time) lead companies to adopt strategies of creating partnerships with other companies as a way to respond effectively to such difficult economical times. Collaborative Networks’ concept born by the consequence of companies could no longer consider their internal business processes’ management as sufficient and tend to seek for a collaborative approach with other partners for their critical processes. Information technologies (ICT) assumed a major role acting as “enablers” of these kinds of networks, enhancing information sharing and business process integration. Several new trends concerning ICT architectures have been created to support collaborative networks requirements, but still doesn’t exist a common platform to reduce the needed integration effort on virtual organizations. This study aims to investigate the current technological solutions available in the market which enhances the management of companies’ business processes (specially, Collaborative Planning). Finally, the research work ends with the presentation of a conceptual model to answer to the constraints evaluated.

Why language matters: insights and challenges in applying a social determination of health approach in a North-South collaborative research program

Focus on “social determinants of health” provides a welcome alternative to the bio-medical illness paradigm. However, the tendency to concentrate on the influence of “risk factors” related to living and working conditions of individuals, rather than to more broadly examine dynamics of the social processes that affect population health, has triggered critical reaction not only from the Global North but especially from voices the Global South where there is a long history of addressing questions of health equity. In this article, we elaborate on how focusing instead on the language of “social determination of health” has prompted us to attempt to apply a more equity-sensitive approaches to research and related policy and praxis.

Collaborative eLearning Assistant Network: caring agents are conscious agents

Would a research assistant - who can search for ideas related to those you are working on, network with others (but only share the things you have chosen to share), doesn’t need coffee and who might even, one day, appear to be conscious - help you get your work done? Would it help your students learn? There is a body of work showing that digital learning assistants can be a benefit to learners. It has been suggested that adaptive, caring, agents are more beneficial. Would a conscious agent be more caring, more adaptive, and better able to deal with changes in its learning partner’s life? Allow the system to try to dynamically model the user, so that it can make predictions about what is needed next, and how effective a particular intervention will be. Now, given that the system is essentially doing the same things as the user, why don’t we design the system so that it can try to model itself in the same way? This should mimic a primitive self-awareness. People develop their personalities, their identities, through interacting with others. It takes years for a human to develop a full sense of self. Nobody should expect a prototypical conscious computer system to be able to develop any faster than that. How can we provide a computer system with enough social contact to enable it to learn about itself and others? We can make it part of a network. Not just chatting with other computers about computer ‘stuff’, but involved in real human activity. Exposed to ‘raw meaning’ – the developing folksonomies coming out of the learning activities of humans, whether they are traditional students or lifelong learners (a term which should encompass everyone). Humans have complex psyches, comprised of multiple strands of identity which reflect as different roles in the communities of which they are part – so why not design our system the same way? With multiple internal modes of operation, each capable of being reflected onto the outside world in the form of roles – as a mentor, a research assistant, maybe even as a friend. But in order to be able to work with a human for long enough to be able to have a chance of developing the sort of rich behaviours we associate with people, the system needs to be able to function in a practical and helpful role. Unfortunately, it is unlikely to get a free ride from many people (other than its developer!) – so it needs to be able to perform a useful role, and do so securely, respecting the privacy of its partner. Can we create a system which learns to be more human whilst helping people learn?