Fonaments d'una plataforma digital universitària lliure com a reforç en l'aprenentatge de les matemàtiques

El canvi cap a un paradigma d’ensenyament centrat en l’alumne ha incrementat el debat dels processos d’ensenyament i d’aprenentatge. En aquest marc de treball, el debat originat en torn de si un alumne universitari disposa dels suficients recursos per repassar autònomament principis matemàtics bàsics no ofereix una resposta gens clara. I aquesta resposta és important, especialment en les titulacions on les matemàtiques s’utilitzen principalment com a eina de modelatge, tal i com succeeix en les titulacions impartides en la Facultat de Ciències Econòmiques i Empresarials(FCEE) de la Universitat de Girona(UdG). L’equip docent en Matemàtiques per a l’Economia de la UdG està duent a terme la construcció d’un recurs que intenta fomentar el treball continu de les lleis matemàtiques. Aquesta eina didàctica tecnològica, anomenada plataforma virtual universitària lliure, neix de l’aplicació a les plataformes universitàries de les idees aportades pels corrents de ideologia lliure, com són la famosa enciclopèdia digital Wikipedia o el projecte gnui. La plataforma virtual universitària lliure és un recurs tecnològic format per la combinació de dos recursos independents habituals en tota plataforma universitària, com són un servidor d’arxius ftp i una eina d’avaluació, amb una estructura de funcionament modelada per les següents condicions: 1) Tota llei matemàtica de qualsevol assignatura de les titulacions impartides en la FCEE de la UdG pot ser treballada en el recurs. 2) Només les lleis matemàtiques podran ser treballades en el recurs. 3) El recurs ha de facilitar als alumnes el llistat de lleis que ha de dominar en una assignatura qualsevol. 4) El recurs ha de facilitar als alumnes material de treball per a una llei d’un llistat. 5) Només les lleis que surtin en un llistat poden contenir materials de treball. 6) Tots els alumnes de la FCEE de la UdG poden entrar al recurs. 7) Tots els professors de la FCEE de la UdG poden crear o modificar qualsevol arxiu o prova d’avaluació. 8) Només els professors de la FCEE de la UdG poden crear o modificar arxius o proves d’avaluació. 9) El recurs d’avaluació ha de proporcionar a un alumne informació immediata sobre el coneixement actual de les lleis d’un llistat. 10) Els enunciats dels exercicis de lleis dels materials de treball sempre han d’anar acompanyats amb la solució corresponent. 11) Tot enunciat d’un exercici de llei ha de tenir associat un exemple completament resolt

LiDAR data filtering with GRASS GIS for the determination of digital terrain models

In the last years, the use of every type of Digital Elevation Models has iimproved. The LiDAR (Light Detection and Ranging) technology, based on the scansion of the territory b airborne laser telemeters, allows the construction of digital Surface Models (DSM), in an easy way by a simple data interpolation

Sistema de geocodificación libre: Callejero Digital de Andalucía

La Junta de Andalucía dentro de su proyecto de Sistema de Información Geográfico Corporativo (SIGC), ha desarrollado un módulo de Callejero Digital de Andalucía (CDA) que recoge la información de direcciones de los 770 municipios de Andalucía. El Callejero Digital de Andalucía se articula en torno a los datos espaciales, una aplicación web de consulta, un motor de búsqueda (geocoder) y una serie de servicios OGC y SOAP. Todas los desarrollos están basados en software libre y pretenden convertirse en la herramienta corporativa para establecer la geoinformación asociada a registros y direcciones postales de la Junta de Andalucía. (...)

Resum del "VII Workshop REBIUN sobre proyectos digitales: la estrategia digital: ¿hacia donde?"

Resum del "VII Workshop REBIUN sobre proyectos digitales". Ens dóna el marc tecnològic (Driver) i legal (Cedro, Rebiun), parla del Open Access i exposa alguns projectes digitals de biblioteques

Practicum 2.0. El diario digital compartido sustituye a la memoria tradicional

La utilización de la Web 2.0 surge como una oportunidad para potenciar cada uno de los aspectos relacionados al acto educativo y por tanto es una herramienta enriquecedora de los procesos de enseñanza y de aprendizaje. Dentro del campo de la evaluación, la colaboración entre pares permite un aprendizaje más significativo, cómo lo explican algunas teorías por ejemplo, la del aprendizaje social. A través de las redes sociales y el conectivismo propio de la Web 2.0, se enriquece cada vez más el proceso evaluativo, ya que no sólo participan pares si no también otras personas que forman parte del contexto, puntualmente en cada momento de la formación. El diario digital compartido a través de la Web 2.0 puede ser una alternativa para potenciar el practicum de los estudiantes de magisterio e incluso de cualquier otro grado que requiera el desarrollo de memorias que reflejen una práctica profesionalizadora. Dentro del ámbito del Espacio Europeo de Educación Superior, la evaluación por competencias es un factor inminente y determinante para el logro de ciertas habilidades propias de las profesiones en las que se están formando los estudiantes de todas las carreras, es por esto necesario replantearse el desarrollo de estrategias así como de herramientas que permitan la integración de las nuevas tendencias educativas y los avances tecnológicos, sin olvidar los principios fundamentales de la formación de profesionales eficientes dentro del campo laboral. Se plantea por tanto, a través de diversos instrumentos desarrollados en la Web 2.0 contribuir en los procesos evaluativos de estudiantes de magisterio que cursan el practicum, potenciando procesos reflexivos y permitiendo la generación de conocimientos a través de la autoevaluación y la colaboración de todos los individuos implicados en el proceso, incluso, facilitan al profesor el llevar a cabo una evaluación continua más práctica y objetiva

Microcalcification evaluation in computer assisted diagnosis for digital mammography

In order to develop applications for z;isual interpretation of medical images, the early detection and evaluation of microcalcifications in digital mammograms is verg important since their presence is often associated with a high incidence of breast cancers. Accurate classification into benign and malignant groups would help improve diagnostic sensitivity as well as reduce the number of unnecessa y biopsies. The challenge here is the selection of the useful features to distinguish benign from malignant micro calcifications. Our purpose in this work is to analyse a microcalcification evaluation method based on a set of shapebased features extracted from the digitised mammography. The segmentation of the microcalcifications is performed using a fixed-tolerance region growing method to extract boundaries of calcifications with manually selected seed pixels. Taking into account that shapes and sizes of clustered microcalcifications have been associated with a high risk of carcinoma based on digerent subjective measures, such as whether or not the calcifications are irregular, linear, vermiform, branched, rounded or ring like, our efforts were addressed to obtain a feature set related to the shape. The identification of the pammeters concerning the malignant character of the microcalcifications was performed on a set of 146 mammograms with their real diagnosis known in advance from biopsies. This allowed identifying the following shape-based parameters as the relevant ones: Number of clusters, Number of holes, Area, Feret elongation, Roughness, and Elongation. Further experiments on a set of 70 new mammogmms showed that the performance of the classification scheme is close to the mean performance of three expert radiologists, which allows to consider the proposed method for assisting the diagnosis and encourages to continue the investigation in the sense of adding new features not only related to the shape

I-SS: integrated supervision systems approach based on interactive components

Process supervision is the activity focused on monitoring the process operation in order to deduce conditions to maintain the normality including when faults are present Depending on the number/distribution/heterogeneity of variables, behaviour situations, sub-processes, etc. from processes, human operators and engineers do not easily manipulate the information. This leads to the necessity of automation of supervision activities. Nevertheless, the difficulty to deal with the information complicates the design and development of software applications. We present an approach called "integrated supervision systems". It proposes multiple supervisors coordination to supervise multiple sub-processes whose interactions permit one to supervise the global process

Interacting software-agents to support a kind of expert supervision systems

Expert supervision systems are software applications specially designed to automate process monitoring. The goal is to reduce the dependency on human operators to assure the correct operation of a process including faulty situations. Construction of this kind of application involves an important task of design and development in order to represent and to manipulate process data and behaviour at different degrees of abstraction for interfacing with data acquisition systems connected to the process. This is an open problem that becomes more complex with the number of variables, parameters and relations to account for the complexity of the process. Multiple specialised modules tuned to solve simpler tasks that operate under a co-ordination provide a solution. A modular architecture based on concepts of software agents, taking advantage of the integration of diverse knowledge-based techniques, is proposed for this purpose. The components (software agents, communication mechanisms and perception/action mechanisms) are based on ICa (Intelligent Control architecture), software middleware supporting the build-up of applications with software agent features

Embodied Autonomy in Digital Ecosystems: From Bio-Inspired Agents to Cognitive Systems

This paper proposes to promote autonomy in digital ecosystems so that it provides agents with information to improve the behavior of the digital ecosystem in terms of stability. This work proposes that, in digital ecosystems, autonomous agents can provide fundamental services and information. The final goal is to run the ecosystem, generate novel conditions and let agents exploit them. A set of evaluation measures must be defined as well. We want to provide an outline of some global indicators, such as heterogeneity and diversity, and establish relationships between agent behavior and these global indicators to fully understand interactions between agents, and to understand the dependence and autonomy relations that emerge between the interacting agents. Individual variations, interaction dependencies, and environmental factors are determinants of autonomy that would be considered. The paper concludes with a discussion of situations when autonomy is a milestone

Expert supervision based on cases

The paper focuses on taking advantage of large amounts of data that are systematically stored in plants (by means of SCADA systems), but not exploited enough in order to achieve supervisory goals (fault detection, diagnosis and reconfiguration). The methodology of case base reasoning (CBR) is proposed to perform supervisory tasks in industrial processes by re-using the stored data. The goal is to take advantage of experiences, registered in a suitable structure as cam, avoiding the tedious task of knowledge acquisition and representation needed by other reasoning techniques as expert systems. An outlook of CBR terminology and basic concepts are presented. The adaptation of CBR in performing expert supervisory tasks, taking into account the particularities and difficulties derived from dynamic systems, is discussed. A special interest is focused in proposing a general case definition suitable for supervisory tasks. Finally, this structure and the whole methodology is tested in a application example for monitoring a real drier chamber

Probabilistic models to assist maintenance of multiple instruments

The paper discusses maintenance challenges of organisations with a huge number of devices and proposes the use of probabilistic models to assist monitoring and maintenance planning. The proposal assumes connectivity of instruments to report relevant features for monitoring. Also, the existence of enough historical registers with diagnosed breakdowns is required to make probabilistic models reliable and useful for predictive maintenance strategies based on them. Regular Markov models based on estimated failure and repair rates are proposed to calculate the availability of the instruments and Dynamic Bayesian Networks are proposed to model cause-effect relationships to trigger predictive maintenance services based on the influence between observed features and previously documented diagnostics