A Widget to Recommend Learning Resources Based on the Learner Affective State

Proceedings of: 3rd International Workshop on Motivational and Affective Aspects in Technology Enhanced Learning (MATEL 2012), Saarbrücken, Germany, 18-19 September , 2012.This paper describes the Learning Resources A ective Recommender, a widget that recommends resources to the learner based on her current a ective state and her learning objectives. The widget is meant to be used in a Personalized Learning Environment in combination with widgets to search for resources. The architecture that supports the widget follows a client-server pattern, with the widget as the client and a recommendation service on the server side. The paper includes the description of both client and server and a discussion about the possibilities of this approach.Work partially funded by the EEE project, "Plan Nacional de I+D+I TIN2011-28308-C03-01", the "eMadrid: Investigación y desarrollo de tecnolog as para el e-learning en la Comunidad de Madrid" project (S2009/TIC-1650), and "Consejo Social - Universidad Carlos III de Madrid".Publicad

A Cloud-Based Architecture for an Affective Recommender System of Learning Resources

Proceedings of: 1st International Workshop on Cloud Education Environments (WCLOUD 2012), Antigua, Guatemala, November 15-16, 2012.One of the most common functionalities in cloudbased learning environments is the recommendation of learning resources. Many approaches have been proposed to deploy recommender systems into an educational environment. Currently, there is an increasing interest in including affective information into the process to generate the recommendations for the learner. In this paper, we propose a cloud-based architecture for a system that recommends learning resources according to the affective state of the learner. Furthermore, we provide the details of an implementation of the architecture along with a discussion on the advantages and disadvantages of the proposal.Work partially funded by the EEE project, “Plan Nacional de I+D+I TIN2011-28308-C03-01”, the “Emadrid: Investigación y desarrollo de tecnologías para el e-learning en la Comunidad de Madrid” project (S2009/TIC-1650), and “Consejo Social - Universidad Carlos III de Madrid”.Publicad

System Virtualization Tools for Software Development

The configuration complexity of preproduction sites coupled with access-control mechanisms often impede the software development life cycle. Virtualization is a cost-effective way to remove such barriers and provide a test environment similar to the production site, reducing the burden in IT administrators. An Eclipse-based virtualization tool framework can offer developers a personal runtime environment for launching and testing their applications. The authors have followed a model-driven architecture (MDA) approach that integrates best-of-breed virtualization technologies, such as Xen and VDE.ITECBAN is an IT innovation project partially funded by CENIT (a Spanish public R&D program). We're grateful to MITYC (Ministerio de Industria, Turismo y Comercio) and CDTI (Centro para el Desarrollo Tecnológico e Industrial) for supporting ITECBAN through CENIT

A Generic Architecture for Emotion-based Recommender Systems in Cloud Learning Environments

Cloud technology has provided a set of tools to learners and tutors to create a virtual personal learning environment. As these tools only support basic tasks, users of learning environments are looking for specialized tools to exploit the uncountable learning elements available on the internet. Thus, one of the most common functionalities in cloud-based learning environments is the recommendation of learning elements and several approaches have been proposed to deploy recommender systems into an educational environment. Currently, there is an increasing interest in including affective information into the process to generate the recommendations for the learner; and services offering this functionality on cloud environments are scarce. Hence in this paper, we propose a generic cloud-based architecture for a system that recommends learning elements according to the affective state of the learner. Furthermore, we provide the description of some use cases along with the details of the implementation of one of them. We also provide a discussion on the advantages and disadvantages of the proposal.Work partially funded by the EEE project, “Plan Nacional de I+D+I TIN2011-28308-C03-01”, the “Emadrid: Investigación y desarrollo de tecnologías para el e-learning en la Comunidad de Madrid” project 2009/TIC-1650), and “Consejo Social - Universidad Carlos III de Madrid”.Publicad

Validación por la Comunidad Docente de una Metodología de Aprendizaje Activo para Cursos de Programación

Actas de: III Jornadas de Innovación Educativa en Ingeniería Telemática (JIE). Granada, 28-30 Octubre 2013.En este artículo se presenta y evalúa una metodología para cursos de programación, basada en el aprendizaje activo y el aprendizaje basado en proyectos. Esta metodología se centra en el trabajo continuo, día a día, del alumno. Por un lado, ofrece pautas para que los alumnos organicen su tiempo, promoviendo el autoaprendizaje y el trabajo individual. Por otro, durante el proyecto los alumnos desarrollan sus capacidades de trabajo en equipo, fomentando el desarrollo de competencias transversales como el aprendizaje colaborativo. La metodología descrita se ha aplicado durante varios cursos en una asignatura de programación en C de segundo curso de los cuatro grados de Ingeniería de Telecomunicaciones. Para poder evaluar, ajustar y mejorar el proceso de enseñanzaaprendizaje propuesto, se utilizan mecanismos de realimentación y seguimiento del alumnado y del profesorado. En este artículo, la implantación de la metodología es evaluada por 40 profesores de distintas universidades españolas que imparten asignaturas en cursos de ingeniería, con objeto de validar su aplicabilidad en otros contextos.Este trabajo ha sido financiado parcialmente por el proyecto nacional del Ministerio de Economía y Competitividad, “Espacios Educativos Especulares” - EEE (TIN2011-28308-C03-01), por el proyecto regional de la Comunidad de Madrid, “eMadrid” (S2009/TIC-1650) y por el programa de estancias postdoctorales Alianza 4 Universidades.Publicad

Detection of cryptic species of Aspergillus with reduced susceptibility to antifungal agents in hospitals

Invasive aspergillosis is a fungal infection caused by Aspergillus spp. affecting mainly the immunocompromised. The mortality rate may reach 85%. Aspergillus identification should be based on molecular methods as there are species morphologically similar but distinct at the molecular level (cryptic species), with variable antifungal susceptibility profiles.info:eu-repo/semantics/publishedVersio