Tecnología digital y sistema educativo : el reto de la globalización.

Digitalismo, mundialización y sociedades del conocimiento y civilización científico-técnica son conceptos que inciden en la educación en el marco general de la globalización. Los efectos de la nueva economía están sometidos a análisis, actualmente, pero está claro que la innovación y la competitividad en un mundo globalizado, así como el uso de las nuevas tecnologías, está afectando a los procesos educativos. La tecnología digital plantea nuevos retos a la educación desde la perspectiva de la globalización. En relación con estas corrientes se ha generado una actitud de mayor compromiso por parte de los profesionales para no abandonar a los jóvenes en la cultura globalizada de la comunicación sin formarlos acerca de cuándo, cómo y por qué usar las tecnologías emergentes.

Artesan??a digital y modernidad educativa

Resumen basado en el de la publicaci??n

Mediamorfosis y desinformaci??n en la infoesfera : alfabetizaci??n medi??tica, digital e informacional ante los cambios de h??bitos de consumo informativo

El ecosistema comunicacional y digital se ha convertido paulatinamente en un escenario sobresaturador e infoxicador. Los medios tradicionales buscan competir por la audiencia frente a las propuestas digitales, generalmente difundiendo contenidos pseudoinformativos de gran valor l??mbico, pero carente de utilidad en el proceso de toma de decisiones. Se revisan y refieren distintas contribuciones acad??micas multidisciplinares que, desde el seno de las teor??as de la alfabetizaci??n medi??tica, digital e informacional, proponen recomendaciones para enfrentar la situaci??n. Se habla de la sociedad medi??tico-digital en un contexto de convergencia de medios y pantallas, esbozando los cambios sociales en que est??n insertas las audiencias. Se concluye que es necesario adaptar una ecolog??a de medios desde la perspectiva del usuario, sin abandonar los esfuerzos que desde la Educomunicaci??n y la pol??tica de comunicaci??n para promover contenidos educativos, culturales e informativos de calidad desde una ??ptica de pluralismo, participaci??n ciudadana.

La ca??da de los muros del conocimiento en la sociedad digital y las pedagog??as emergentes

Resumen basado en el de la publicaci??n

Una eina innovadora per a la informació i la divulgació geogràfica: l’Atles comarcal de Catalunya en format digital

Due to the edition of the new Atles comarcal de Catalunya by the Institut Cartogràfic de Catalunya in digital format, we look at the structure of their contents and the dynamics of its use. Likewise, it is detailed which methodology was utilized to perform it. Finally, some reflections on the innovations that this new product entails in textual and cartographic areas are proposed, especially related to the current socioeconomic context and new employed technologies

A hybrid approach of knowledge-based reasoning for structural assessment

La idea básica de detección de defectos basada en vibraciones en Monitorización de la Salud Estructural (SHM), es que el defecto altera las propiedades de rigidez, masa o disipación de energía de un sistema, el cual, altera la respuesta dinámica del mismo. Dentro del contexto de reconocimiento de patrones, esta tesis presenta una metodología híbrida de razonamiento para evaluar los defectos en las estructuras, combinando el uso de un modelo de la estructura y/o experimentos previos con el esquema de razonamiento basado en el conocimiento para evaluar si el defecto está presente, su gravedad y su localización. La metodología involucra algunos elementos relacionados con análisis de vibraciones, matemáticas (wavelets, control de procesos estadístico), análisis y procesamiento de señales y/o patrones (razonamiento basado en casos, redes auto-organizativas), estructuras inteligentes y detección de defectos. Las técnicas son validadas numérica y experimentalmente considerando corrosión, pérdida de masa, acumulación de masa e impactos. Las estructuras usadas durante este trabajo son: una estructura tipo cercha voladiza, una viga de aluminio, dos secciones de tubería y una parte del ala de un avión comercial.

The applicability of The Test of Word Knowledge to hearing-impaired children

This paper evaluates a receptive and expressive vocabulary test, The Test of Word Knowledge, to determine its applicability to deaf students and to compare its results with other vocabulary tests.

Comparison of NRT based MAPs and preferred MAPs in adult Nucleus CI24 cochlear implant users

Comparison of subjects' preferred MAPs worn in everyday life and MAPs created using electrically evoked compound action potentials using neural response telemetry measures in adult Nucleus CI24 implant users.

Survey of hearing-impaired adults and parents of hearing-impaired children and their knowledge of the Americans with Disabilities Act

This paper discusses the results of a survey about awareness of the American with Disabilities Act.

A consumer survey designed to identify attitudes, knowledge, acceptance, and use of assistive listening devices in public facilities

This paper presents a consumer survey of hearing-impaired persons used to identify their attitudes, knowledge, acceptance, and use of assistive listening devices in public facilities.

Case-based analysis in user requirements modelling for knowledge construction

Context: Learning can be regarded as knowledge construction in which prior knowledge and experience serve as basis for the learners to expand their knowledge base. Such a process of knowledge construction has to take place continuously in order to enhance the learners’ competence in a competitive working environment. As the information consumers, the individual users demand personalised information provision which meets their own specific purposes, goals, and expectations. Objectives: The current methods in requirements engineering are capable of modelling the common user’s behaviour in the domain of knowledge construction. The users’ requirements can be represented as a case in the defined structure which can be reasoned to enable the requirements analysis. Such analysis needs to be enhanced so that personalised information provision can be tackled and modelled. However, there is a lack of suitable modelling methods to achieve this end. This paper presents a new ontological method for capturing individual user’s requirements and transforming the requirements onto personalised information provision specifications. Hence the right information can be provided to the right user for the right purpose. Method: An experiment was conducted based on the qualitative method. A medium size of group of users participated to validate the method and its techniques, i.e. articulates, maps, configures, and learning content. The results were used as the feedback for the improvement. Result: The research work has produced an ontology model with a set of techniques which support the functions for profiling user’s requirements, reasoning requirements patterns, generating workflow from norms, and formulating information provision specifications. Conclusion: The current requirements engineering approaches provide the methodical capability for developing solutions. Our research outcome, i.e. the ontology model with the techniques, can further enhance the RE approaches for modelling the individual user’s needs and discovering the user’s requirements.

Uses of airborne scanning laser altimetry for river flood modelling and coastal geomorphology

Two ongoing projects at ESSC that involve the development of new techniques for extracting information from airborne LiDAR data and combining this information with environmental models will be discussed. The first project in conjunction with Bristol University is aiming to improve 2-D river flood flow models by using remote sensing to provide distributed data for model calibration and validation. Airborne LiDAR can provide such models with a dense and accurate floodplain topography together with vegetation heights for parameterisation of model friction. The vegetation height data can be used to specify a friction factor at each node of a model’s finite element mesh. A LiDAR range image segmenter has been developed which converts a LiDAR image into separate raster maps of surface topography and vegetation height for use in the model. Satellite and airborne SAR data have been used to measure flood extent remotely in order to validate the modelled flood extent. Methods have also been developed for improving the models by decomposing the model’s finite element mesh to reflect floodplain features such as hedges and trees having different frictional properties to their surroundings. Originally developed for rural floodplains, the segmenter is currently being extended to provide DEMs and friction parameter maps for urban floods, by fusing the LiDAR data with digital map data. The second project is concerned with the extraction of tidal channel networks from LiDAR. These networks are important features of the inter-tidal zone, and play a key role in tidal propagation and in the evolution of salt-marshes and tidal flats. The study of their morphology is currently an active area of research, and a number of theories related to networks have been developed which require validation using dense and extensive observations of network forms and cross-sections. The conventional method of measuring networks is cumbersome and subjective, involving manual digitisation of aerial photographs in conjunction with field measurement of channel depths and widths for selected parts of the network. A semi-automatic technique has been developed to extract networks from LiDAR data of the inter-tidal zone. A multi-level knowledge-based approach has been implemented, whereby low level algorithms first extract channel fragments based mainly on image properties then a high level processing stage improves the network using domain knowledge. The approach adopted at low level uses multi-scale edge detection to detect channel edges, then associates adjacent anti-parallel edges together to form channels. The higher level processing includes a channel repair mechanism.

KAIFIA: Knowledge assisted intelligent framework for information access

Accessing information, which is spread across multiple sources, in a structured and connected way, is a general problem for enterprises. A unified structure for knowledge representation is urgently needed to enable integration of heterogeneous information resources. Topic Maps seem to be a solution for this problem. The Topic Map technology enables connecting information, through concepts and relationships, and their occurrences across multiple systems. In this paper, we address this problem by describing a framework built on topic maps, to support the current need of knowledge management. New approaches for information integration, intelligent search and topic map exploration are introduced within this framework.

Semi-automatic knowledge extraction, representation and context-sensitive intelligent retrieval of video content using collateral context modelling with scalable ontological networks

Automatic indexing and retrieval of digital data poses major challenges. The main problem arises from the ever increasing mass of digital media and the lack of efficient methods for indexing and retrieval of such data based on the semantic content rather than keywords. To enable intelligent web interactions, or even web filtering, we need to be capable of interpreting the information base in an intelligent manner. For a number of years research has been ongoing in the field of ontological engineering with the aim of using ontologies to add such (meta) knowledge to information. In this paper, we describe the architecture of a system (Dynamic REtrieval Analysis and semantic metadata Management (DREAM)) designed to automatically and intelligently index huge repositories of special effects video clips, based on their semantic content, using a network of scalable ontologies to enable intelligent retrieval. The DREAM Demonstrator has been evaluated as deployed in the film post-production phase to support the process of storage, indexing and retrieval of large data sets of special effects video clips as an exemplar application domain. This paper provides its performance and usability results and highlights the scope for future enhancements of the DREAM architecture which has proven successful in its first and possibly most challenging proving ground, namely film production, where it is already in routine use within our test bed Partners' creative processes. (C) 2009 Published by Elsevier B.V.

Coordination and control in project-based work: digital objects and infrastructures for delivery

A major infrastructure project is used to investigate the role of digital objects in the coordination of engineering design work. From a practice-based perspective, research emphasizes objects as important in enabling cooperative knowledge work and knowledge sharing. The term ‘boundary object’ has become used in the analysis of mutual and reciprocal knowledge sharing around physical and digital objects. The aim is to extend this work by analysing the introduction of an extranet into the public–private partnership project used to construct a new motorway. Multiple categories of digital objects are mobilized in coordination across heterogeneous, cross-organizational groups. The main findings are that digital objects provide mechanisms for accountability and control, as well as for mutual and reciprocal knowledge sharing; and that different types of objects are nested, forming a digital infrastructure for project delivery. Reconceptualizing boundary objects as a digital infrastructure for delivery has practical implications for management practices on large projects and for the use of digital tools, such as building information models, in construction. It provides a starting point for future research into the changing nature of digitally enabled coordination in project-based work.