Diseño y desarrollo de un sistema basado en Learning Analytics para evaluar la competencia de trabajo en equipo.Design and development of a Learning Analytics System to evaluate group work competence

La adquisición de la competencia grupal es algo básico en la docencia universitaria. Esta tarea va a suponer evaluar diferentes factores en un número elevado de alumnos, lo que puede supone gran complejidad y un esfuerzo elevado. De cara a evitar este esfuerzo se puede pensar en emplear los registros de la interacción de los usuarios almacenados en las plataformas de aprendizaje. Para ello el presente trabajo se basa en el desarrollo de un sistema de Learning Analytics que es utilizado como herramienta para analizar las evidencias individuales de los distintos miembros de un equipo de trabajo. El trabajo desarrolla un modelo teórico apoyado en la herramienta, que permite relacionar las evidencias observadas de forma empírica para cada alumno, con indicadores obtenidos tanto de la acción individual como cooperativo de los miembros de un equipo realizadas a través de los foros de trabajo. Abstract — The development of the group work competence is something basic in university teaching. It should be evaluated, but this means to analyze different issues about the participation of a high number of students which is very complex and implies a lot of effort. In order to facilitate this evaluation it is possible to analyze the logs of students’ interaction in Learning Management Systems. The present work describes the development of a Learning Analytics system that analyzes the interaction of each of the members of working group. This tool is supported by a theoretical model, which allows establishing links between the empirical evidences of each student and the indicators of their action in working forums

An investigation into the perspectives of providers and learners on MOOC accessibility

An effective open eLearning environment should consider the target learner’s abilities, learning goals, where learning takes place, and which specific device(s) the learner uses. MOOC platforms struggle to take these factors into account and typically are not accessible, inhibiting access to environments that are intended to be open to all. A series of research initiatives are described that are intended to benefit MOOC providers in achieving greater accessibility and disabled learners to improve their lifelong learning and re-skilling. In this paper, we first outline the rationale, the research questions, and the methodology. The research approach includes interviews, online surveys and a MOOC accessibility audit; we also include factors such the risk management of the research programme and ethical considerations when conducting research with vulnerable learners. Preliminary results are presented from interviews with providers and experts and from analysis of surveys of learners. Finally, we outline the future research opportunities. This paper is framed within the context of the Doctoral Consortium organised at the TEEM'17 conference

Statistical analysis of reinforced concrete bridges in Estonia

This paper introduces a possible way to use a multivariate methodology, called principal component analysis, to reduce the dimensionality of condition state database of bridge elements, collected during visual inspections. Attention is paid to the condition assessment of bridges in Estonian national roads and collected data, which plays an important role in the selection of correct statistical technique and obtaining reliable results. Additionally, detailed overview of typical road bridges and examples of collected information is provided. Statistical analysis is carried out by most natural reinforced concrete bridges in Estonia and comparison is made among different typologies. The introduced multivariate technique algorithms are presented and collated in two different formulations, with contrast on unevenness in variables and taking into account the missing data. Principal components and weighing factors, which are calculated for bridges with different typology, also have differences in results and element groups where variation is retainedTU1406 – Quality Specifications for Roadway Bridges, standardiza- tion at a European level (BridgeSpec), a COST Action sup- ported by EU Framework Programme Horizon 2020info:eu-repo/semantics/publishedVersio

Theory of Myelin Coiling

A new model is proposed to explain coiling of myelins composed of fluid bilayers. This model allows the constituent bilayer cylinders of a myelin to be non-coaxial and the bilayer lateral tension to vary from bilayer to bilayer. The calculations show that a myelin would bend or coil to lower its free energy when the bilayer lateral tension is sufficiently large. From a mechanical point of view, the proposed coiling mechanism is analogous to the classical Euler buckling of a thin elastic rod under axial compression. The analysis of a simple two-bilayer case suggests that a bilayer lateral tension of about 1 dyne/cm can easily induce coiling of myelins of typical lipid bilayers. This model signifies the importance of bilayer lateral tension in determining the morphology of myelinic structures.Comment: 17 pages, 8 figures, submitted to Eur. Phys. J.

Looking into the future: Learning services-based technological ecosystems

La gran distancia existente entre la tecnología y las metodologías docentes provoca que los nuevos avances tecnológicos no tengan fácil su integración en los contextos y prácticas metodológicas implantados, y que las tecnologías educativas maduras y los métodos educativos aplicados no respondan a las demandas de la sociedad ni al potencial transformador de la tecnología para la mejora del aprendizaje. Esta contribución plantea la necesidad de ofrecer un entorno tecnológico para el soporte de servicios de aprendizaje, el ecosistema educativo, que rompa con las limitaciones tecnológicas y de proceso de las actuales plataformas tecnológicas para conseguir una mejora de los procesos educativos. La propuesta de ecosistema educativo se concreta en 6 líneas de actuación: 1) arquitectura para la implantación de ecosistemas de servicios de aprendizaje; 2) toma de decisiones basadas en analíticas de aprendizaje; 3) sistemas de gestión de conocimiento adaptativos; 4) formación gamificada; 5) porfolios semánticos para la recogida de evidencias de aprendizaje; 6) metodologías educativas que hagan un uso efectivo de los avances tecnológicos en pro de la mejora del aprendizaje.The existing distance between technology and learning methods have two consequences: on the one hand, it makes the fit of new technological advances and existing educational methods and practices difficult; on the other hand, mature educational technologies and methods might not give an adequate answer to actual society needs and demands, and they may not fully use their transforming potential to improve learning processes. This study discusses the need for a new technological environment supporting learning services: the educational ecosystem. The educational ecosystems must be able to break the technological constraints of existing learning platforms and achieve an effective improvement of learning processes. Our proposal of educational ecosystems pivots around six specific lines of action: 1) an arquitecture that gives support to learning service-based ecosystems; 2) learning analytics for educational decision making; 3) adaptive knowledge systems; 4) gamifications; 5) semantic porfolios to collect learning evidences; 6) learning methods that make and effective use of technology for the improvement of learning processes

Situaciones estresantes asociadas a la presentación del síndrome de fatiga crónica.

Chronic Fatigue Syndrome (CFS) is a complex and multifactorial disease. Stressful situations experienced could be related to the presentation of the disease. Few studies have determined which factors could trigger CFS. The main objective of this study was to explore the stressful situations which can be associated with CFS presentation. METHODS: Retrospective observational case-control study with CFS diagnosed patients according to the Fukuda's criteria. Controls were matched to cases by sex, age and educational level with a 1:1 ratio. Participants aged between 18 and 75 years from the province of Lleida. Information was obtained through personal questionnaires. The measure of association was the odds ratio. RESULTS: In total, 77 cases and 77 controls were included. Association found between stressful life events and presentation of disease were pregnancy ORa=31.7 (CI95%:2.2-456.7), spousal abuse ORa= 10.2 (CI95%:1.2-88.4) and mobbing ORa=6.9 (CI95%:1.3-36.9), eating disorders=7.5 (CI95%:1.3-42.1), car accident ORa=5.5 (CI95%:1.7-17 9), economic problems ORa=5.1 (CI95%:2.1-12.6) and changes in sleep habits ORa=2.8 (CI95%:1.1-7.5). CONCLUSIONS: Stressful life events as pregnancy, spousal abuse, mobbing, eating disorders, car accident, economic problems and changes in sleep habits felt by those affected must be taken into consideration when compiling background information related to the onset of Chronic Fatigue Syndrome. Adequate identification of these stressful life events in risk people could contribute to early diagnosis of Chronic Fatigue Syndrome

Spectral and polarimetric characterization of gazeous and telluric planets with SEE COAST

SEE COAST stands for Super Earth Explorer – Coronagraphic Off-Axis Space Telescope. The concept was initially proposed to ESA for Cosmic Vision. None of the direct detection exoplanet proposals were selected in 2007 and we are now pursuing our efforts to consolidate the astrophysical program and the technical developments for the next call for proposal. The prime objective of SEE COAST is to contribute to the understanding of the formation and evolution of planetary systems. Exploring the diversity of these objects is therefore the main driver to define the instrumentation. In the next decade the improvement of radial velocity instruments and obviously temporal coverage will provide us with a large numbers of long period giants as well as telluric planets, namely Super Earths. Obtaining the spectral and polarimetric signatures of these objects in the visible range to measure atmospheric parameters (molecular composition, clouds, soils, …) will be unique and with important scientific returns. A space mission complementary to near IR instruments like SPHERE, GPI, JWST and later ELTs for the full characterization of giants and Super Earths is a first secure step towards the longer term goal that is the characterization of telluric planets with mass and atmosphere comparable to that of the Earth. An overview of the astrophysical motivation and the trade-off that lead to a simple integrated concept of a space-based high contrast imaging instrument are given here

The short-term effect of swimming training load on shoulder rotational range of motion, shoulder joint position sense and pectoralis minor length

Background: Shoulder pain or injury is the most common issue facing elite competitive swimmers and the most frequent reason for missed or modified training. Literature suggests that highly repetitive upper limb loading leads to inappropriate adaptations within the shoulder complex. The most likely maladaptations to occur are variations in shoulder rotational range of motion, reduction in joint position sense and shortened pectoralis minor length. This has yet to have been confirmed in experimental studies. The aim of this study was to investigate the short-term effects of swimming training load upon internal and external rotation range of motion, joint position sense and pectoralis minor length. Method: Sixteen elite swimmers training in the British Swimming World Class programme participated. Measures of internal and external range of motion, joint position sense error score and pectoralis minor length were taken before and after a typical 2h swimming session. Results: Following swimming training shoulder external rotation range of motion and pectoralis minor length reduced significantly (-3.4°,p=<0.001 and -0.7cm, p=<0.001, respectively), joint position sense error increased significantly (+2.0° error angle, p=<0.001). Internal rotation range of motion demonstrated no significant change (-0.6, p=0.53). Discussion: This study determined that elite level swimming training results in short-term maladaptive changes in shoulder performance that could potentially predispose them to injury