850 resultados para Integrated learning systems


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The brain is a complex system, which produces emergent properties such as those associated with activity-dependent plasticity in processes of learning and memory. Therefore, understanding the integrated structures and functions of the brain is well beyond the scope of either superficial or extremely reductionistic approaches. Although a combination of zoom-in and zoom-out strategies is desirable when the brain is studied, constructing the appropriate interfaces to connect all levels of analysis is one of the most difficult challenges of contemporary neuroscience. Is it possible to build appropriate models of brain function and dysfunctions with computational tools? Among the best-known brain dysfunctions, epilepsies are neurological syndromes that reach a variety of networks, from widespread anatomical brain circuits to local molecular environments. One logical question would be: are those complex brain networks always producing maladaptive emergent properties compatible with epileptogenic substrates? The present review will deal with this question and will try to answer it by illustrating several points from the literature and from our laboratory data, with examples at the behavioral, electrophysiological, cellular and molecular levels. We conclude that, because the brain is a complex system compatible with the production of emergent properties, including plasticity, its functions should be approached using an integrated view. Concepts such as brain networks, graphics theory, neuroinformatics, and e-neuroscience are discussed as new transdisciplinary approaches dealing with the continuous growth of information about brain physiology and its dysfunctions. The epilepsies are discussed as neurobiological models of complex systems displaying maladaptive plasticity.

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National Centre for Aquatic Animal Health, Cochin University of Science and Technology

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Learning Disability (LD) is a classification including several disorders in which a child has difficulty in learning in a typical manner, usually caused by an unknown factor or factors. LD affects about 15% of children enrolled in schools. The prediction of learning disability is a complicated task since the identification of LD from diverse features or signs is a complicated problem. There is no cure for learning disabilities and they are life-long. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. The aim of this paper is to develop a new algorithm for imputing missing values and to determine the significance of the missing value imputation method and dimensionality reduction method in the performance of fuzzy and neuro fuzzy classifiers with specific emphasis on prediction of learning disabilities in school age children. In the basic assessment method for prediction of LD, checklists are generally used and the data cases thus collected fully depends on the mood of children and may have also contain redundant as well as missing values. Therefore, in this study, we are proposing a new algorithm, viz. the correlation based new algorithm for imputing the missing values and Principal Component Analysis (PCA) for reducing the irrelevant attributes. After the study, it is found that, the preprocessing methods applied by us improves the quality of data and thereby increases the accuracy of the classifiers. The system is implemented in Math works Software Mat Lab 7.10. The results obtained from this study have illustrated that the developed missing value imputation method is very good contribution in prediction system and is capable of improving the performance of a classifier.

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The Central Library of Cochin University of Science and Technology (CUSAT) has been automated by proprietary software (Adlib Library) since 2000. After 11 years, in 2011, the university authorities decided to shift to an open source software (OSS), for integrated library management system (ILMS), Koha for automating the library housekeeping operations. In this context, this study attempts to share the experiences in cataloging with both type of software. The features of the cataloging modules of both the software are analysed on the badis of certain check points. It is found that the cataloging module of Koha is almost in par with that of proven proprietary software that has been in market for the past 25 years. Some suggestions made by this study may be incorporated for the further development and perfection of Koha.

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Our work is focused on alleviating the workload for designers of adaptive courses on the complexity task of authoring adaptive learning designs adjusted to specific user characteristics and the user context. We propose an adaptation platform that consists in a set of intelligent agents where each agent carries out an independent adaptation task. The agents apply machine learning techniques to support the user modelling for the adaptation process

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The Integrated Mass Transit Systems are an initiative of the Colombian Government to replicate the experience of Bogota’s Bus Rapid Transit System —Transmilenio— in large urban areas of the country, most of them over municipal perimeters to provide transportation services to areas undergoing a metropolization process. Management of these large scale metropolitan infrastructure projects involves complex setups that present new challenges in the interaction between stakeholders and interests between municipalities, tiers of government and public and private sectors. This article presents a compilation of the management process of these projects from the national context, based on a document review of the regulatory framework, complemented by interviews with key stakeholders at the national level. Research suggests that the implementation of large-scale metropolitan projects requires a management framework orientated to overcome the traditional tensions between centralism and municipal autonomy.

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Se pretende la elaboración una plataforma capaz de implementar sistemas de tutoría inteligente, orientada al problema de la adaptación del secuenciamiento; la creación de una herramienta o método que defina secuenciamientos adaptativos de material educativo; el desarrollo, empleando la herramienta anterior, de uno o más tutores y adaptar las técnicas de inteligencia de enjambre al campo de los cursos impartidos a través de Internet, Elearning.. En primer lugar se analiza el estado de la cuestión, destacando los aspectos novedosos. A continuación se presentan las aportaciones de la investigación. Por último, se exponen las conclusiones y las líneas de investigación abiertas. También se incluyen apéndices con información adicional que puede ser relevante para algunos lectores. Se investiga el uso de técnicas de inteligencia de enjambre para obtener sistemas educativos robustos y con capacidad de autoorganización. Las lecciones aprendidas de los sistemas cristalizan en la creación de un módulo para SIT.. Las principales contribuciones son: el diseño de una plataforma para el desarrollo de Sistemas de Tutoría Inteligentes (ITS); se presenta una herramienta para la adaptación de secuencias de unidades de aprendizaje, grafos de secuenciamiento (Sequencing Graphs, SG) y se analizan las iniciativas actuales relacionadas con las técnicas de enjambre en educación. Estas técnicas tienen un interés especial para los sistemas de elearning dada su complejidad. .

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Este texto proporciona detallados consejos prácticos y sugerencias para los educadores de escuelas pertenecientes a comunidades muy diversas, culturalmente y lingüísticamente. Algunos capítulos se centran en las necesidades de los estudiantes de comunidades de inmigrantes, especialmente los que están aprendiendo la lengua de enseñanza, aunque también se incluyen otros grupos minoritarios.

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En este artículo se presenta el caso de Milao, un entorno virtual que ofrece a los estudiantes de idiomas extranjeros la oportunidad de desarrollar y mejorar sus habilidades comunicativas dialogando en escenarios de conversación predefinidos que simulan la interacción con un nativo. Esta tecnología propone una solución a uno de los mayores retos en el aprendizaje de lenguas extranjeras: la falta de oportunidades para poner en práctica la gramática y el vocabulario recién adquiridos. Combinando la investigación sobre la lingüística y el aprendizaje de lenguas con los avances tecnológicos en el campo del Procesamiento del Lenguaje Natural (NPL), particularmente sobre sistemas de diálogo, hemos creado oportunidades en la demanda de los estudiantes a conversar en la lengua que tratan de aprender.

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Resumen basado en el de la publicaci??n

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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

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The main objective pursued in this thesis targets the development and systematization of a methodology that allows addressing management problems in the dynamic operation of Urban Wastewater Systems. The proposed methodology will suggest operational strategies that can improve the overall performance of the system under certain problematic situations through a model-based approach. The proposed methodology has three main steps: The first step includes the characterization and modeling of the case-study, the definition of scenarios, the evaluation criteria and the operational settings that can be manipulated to improve the system’s performance. In the second step, Monte Carlo simulations are launched to evaluate how the system performs for a wide range of operational settings combinations, and a global sensitivity analysis is conducted to rank the most influential operational settings. Finally, the third step consists on a screening methodology applying a multi-criteria analysis to select the best combinations of operational settings.