A characterisation of passive and active interactions and their influence on student's achievement using Moodle LMS Logs

During the last years, there has been much concern about learning management systems' (LMS) effectiveness when compared to traditional learning and about how to assess students' participation during the course. The tracking and monitoring capabilities of most recent LMS have made it possible to analyse every interaction in the system. The issues addressed on this study are: a) Is LMS student's interaction an indicator of academic performance?; b) Are different results in performance expected between distance and in-class LMS-supported education?; c) How can LMS interactions from logs be categorised?; d) May this categorisation detect 'learning witnesses'? To answer these questions, a set of interaction types from Moodle LMS activity record logs has been analysed during two years in online and in-class Master's degrees at the UPM. The results show partial or no evidence of influence between interaction indicators and academic performance, although the proposed categorisation may help detect learning witnesses.

Assessing the suitability of student interactions from Moodle data logs as predictors of cross-curricular competencies

In the past decades, online learning has transformed the educational landscape with the emergence of new ways to learn. This fact, together with recent changes in educational policy in Europe aiming to facilitate the incorporation of graduate students to the labor market, has provoked a shift on the delivery of instruction and on the role played by teachers and students, stressing the need for development of both basic and cross-curricular competencies. In parallel, the last years have witnessed the emergence of new educational disciplines that can take advantage of the information retrieved by technology-based online education in order to improve instruction, such as learning analytics. This study explores the applicability of learning analytics for prediction of development of two cross-curricular competencies – teamwork and commitment – based on the analysis of Moodle interaction data logs in a Master’s Degree program at Universidad a Distancia de Madrid (UDIMA) where the students were education professionals. The results from the study question the suitability of a general interaction-based approach and show no relation between online activity indicators and teamwork and commitment acquisition. The discussion of results includes multiple recommendations for further research on this topic.

Évaluation de l’aléa et du risque sismique en Haïti dirigée vers la conception parasismique

Après le séisme qui eut lieu en Haïti le 12 janvier 2010, dont l’épicentre a été localisé non loin de la capitale, Port-au-Prince (25 km en direction sud-est), d’une magnitude Mw 7.0 et à une profondeur de 13 km, le pays s’est retrouvé dans une situation catastrophique et d’extrême pauvreté, avec des graves carences en matière de santé, nutrition, éducation et logement. Les effets du tremblement de terre ont été dévastateurs pour la population : on compte plus de 300.000 morts, presque autant de blessés et 1,3 millions de sans-abri logès dans des campements « provisoires ». Quant aux conséquences matérielles, le séisme a totalement détruit près de 100.000 maisons et endommagé près de 200.000 (source : USGS). Ce tremblement de terre a été le plus fort enregistré dans la zone depuis 1770. De plus le séisme fut perceptible dans des pays voisins comme Cuba, la Jamaïque et la République Dominicaine, où il a provoqué l’alarme et des évacuations préventives. La reconstruction du pays reste un sujet prioritaire pour la coopération internationale. Le présent projet, SISMO-HAITÍ, a été développé dans le but d’apporter la connaissance et l’information nécessaires afin de faciliter la prise de mesures préventives face au risque sismique existant, afin d’éviter qu’un éventuel futur séisme ne déclenche une nouvelle catastrophe. Dans le cas d’Haïti, aucune institution n’était chargée d’assurer une surveillance sismique, mais un contact direct a été établi avec l’Observatoire National de l’Environnement et de la Vulnérabilité (ONEV) en Haïti à travers son directeur Dwinel Belizaire Ing. M. Sc., qui est précisément celui qui a sollicité l’aide qui a motivé la présente proposition. Le but ultime de ce projet est l’étude des mesures d’atténuation du risque élevé qui demeure, contribuant ainsi au développement durable de la région. Dans cette optique, la menace sismique en Haïti a été évaluée, constituant la base sur laquelle on prétend élaborer des critères de conception parasismique pour la reconstruction du pays qui pourront être inclus dans la première version de la norme antisismique, ainsi que le risque sismique à Port-au-Prince, dont les résultats serviront de base pour élaborer les plans d’urgence face à ce risque naturel. Les objectifs spécifiques atteints sont : • Évaluation de l'aléa sismique en Haïti. On en obtient des cartes de différents paramètres de mouvement pour différentes probabilités de dépassement (ce qui suppose connaître la probabilité associée aux mouvements dus à des tremblements futurs). • Évaluation de l'effet local à Port-au-Prince et élaboration d'une carte de microzonage de la ville. • Étude de la vulnérabilité sismique locale à Port-au-Prince. • Estimation du risque sismique à Port-au-Prince. • Mesures d'atténuation du risque et de conception parasismique. Ce rapport résume les activités et les résultats obtenus a cours de l'année 2011 lors de la mise en œuvre de ce projet. Le groupe de travail est une équipe multidisciplinaire composée de chercheurs de différents établissements universitaires et de recherche (Université Polytechnique de Madrid-UPM-, Conseil Supérieur de la Recherche Scientifique (CSIC) ; U. Complutense de Madrid-UCM-, U-UA-Alicante, Almeria-UAL-U., U. Autonome de Saint-Domingue, UASD et Université de Porto Rico Mayagüez--UPRM) experts dans les diverses matières impliquées dans le projet: géologie, sismologie, génie parasismique, architecture et gestion de l'information géographique. Tous les membres de cette équipe ont travaillé ensemble tout au long de l'année, en réalisant des réunions, des ateliers de travail, des vidéoconférences, en plus d'une visite à Port-au-Prince en Juillet 2011 afin de procéder à la première collecte de données.

Historia holocena de los pinares montanos de los sistemas Central y Cantábrico: Un objetivo con dos enfoques, biogeográfico y dendroecológico

Los estudios paleoecológicos holocenos basados en macro- y megafósiles encierran un gran valor debido a que su información tiene generalmente carácter local, su origen es conocido, pueden ser datados directamente mediante el método radiocarbónico, y pueden identificarse a un nivel taxonómicamente preciso. Sin embargo son pocas las áreas del Sur de Europa en las que sea conocida una alta densidad de yacimientos con restos leñosos de gran tamaño. En esta tesis, se presentan datos de 53 yacimientos de la sierra de Gredos y de la cordillera Cantábrica (Península Ibérica). Los restos fueron hallados en ambientes variados, como zonas higroturbosas, turberas erosionadas o lagos, y fueron identificadas mediante el estudio de la anatomía de la madera o mediante rasgos morfológicos. En la sierra de Gredos, la evidencia paleobotánica indica la existencia de un panorama relativamente estable a lo largo del Holoceno medio y principio del Holoceno final y sugiere la persistencia, a lo largo de milenios, de un piso de pinares ampliamente distribuído en cotas altas de la sierra. La información obtenida de piñas y frutos mejoran la información taxonómica disponible y revelan la existencia tanto de Pinus sylvestris como de Pinus nigra en estas sierras durante el Holoceno. La datación radiocarbónica, medición de anillos de crecimiento y sincronización preliminar de 26 secciones de troncos de subfósiles demuestran el potencial de este material de las montañas de Iberia central en la obtención de cronologías holocenas de pino. En la cordillera Cantábrica, los datos aportan información espacialmente precisa de distribuciones de ciertas especies arbóreas durante el Holoceno. En las zonas centrales de la cordillera, han sido hallados fundamentalmente restos de pino, mientras que en las zonas más occidentales los pinos estás ausentes y los restos encontrados corresponden a otras especies de caducifolios (Betula, Salix, Quercus) y arbustos (Erica, Fabaceae) Esta información paleobiogeográfica constrasta con la distribución natural actual de Pinus sylvestris y Pinus nigra en el área de estudio. En la sierra de Gredos, la naturalidad de las escasos rodales de pinos que aún persisten ha sido discutida, mientras que en la cordillera Cantábrica, la única especie del grupo que persiste es P. sylvestris y está localizada en unos pocos relictos. El clima pudo haber jugado un papel importante en una primera fase de declive de los pinares durante el Holoceno inicial, mostrado en numerosos registros polínicos de manera casi sincrónica y asociada a una expansión de frondosas. Sin embargo la información histórica disponible y la comparación entre las áreas de distribución de los pinares en el presente, modelizada y en momentos anteriores a la la generalización de la presión antrópica sugiere que durante los últimos dos milenios, la actividad humana ha sido responsable de la desaparición de estas especies como árboles naturales en áreas extensas. ABSTRACTMacro- and megafossil studies provide information of great value in palaeoecology because such evidence is spatially precise, directly radiocarbon dated and usually taxon-specific. However, few areas of southern Europe have a high density of sites with Holocene woody remains. Here, local data from 53 sites in the Gredos Mountains and the Cantabrian Range (Iberian Peninsula) is presented. Woody remains were recovered from mires, eroded peat bogs and lakes and were identified by their wood anatomy or morphological traits. In the Gredos Mountains, palaeobotanical evidence portrays a relatively stable picture of tree distribution over the mid- and beggining of the late-Holocene, and suggests the persistence of a widespread belt of pinewoods. Cones and fruits enlarge the taxonomic information available and reveal that both Pinus sylvestris and Pinus nigra were present locally during the Holocene. Radiocarbon dating, tree ring measurement and preliminary cross-dating of 26 pine sub-fossil logs demonstrate the potential of obtaining a long pine chronology from subfossil wood from the mountains of Central Iberia. In the Cantabrian Range the data provide spatially precise evidence of tree distribution in the region during the Holocene. Pines were mostly identified in the central areas, whereas at the western edge no pine evidence was detected and deciduous trees (Betula, Salix, Quercus) and shrubs (Erica, Fabaceae) were identified. This palaeoecological information contrasts with the current natural distribution ranges of P. sylvestris and P. nigra in the study area. In the Gredos Mountains, the naturality of the few pine stands currently growing has been heavily debated. In the Cantabrian Range P. sylvestris is the only pine species that is today present, and its natural presence is now limited to a few enclaves. Climate may have played a key role in the early-Holocene, as pollen archives document a pine demise that is synchronous with the spread of broadleaved taxa. However, available historical data and the comparison of the reconstructed distribution of pinewoods before extensive human forest disturbance with both present and modelled distributions suggests that during the last two millennia, anthropogenic activity may have removed these species as native trees from a large territory.

Hydrogeochemistry of surface and spring waters in the surroundings of the CO2 injection site at Hontomín–Huermeces (Burgos, Spain)

In this paper the very first geochemical and isotopic data related to surface and spring waters and dissolved gases in the area of Hontomín–Huermeces (Burgos, Spain) are presented and discussed. Hontomín–Huermeces has been selected as a pilot site for the injection of pure (>99%) CO2. Injection and monitoring wells are planned to be drilled close to 6 oil wells completed in the 1980s for which detailed stratigraphical logs are available, indicating the presence of a confined saline aquifer at the depth of about 1500 m into which less than 100,000 tons of iquid CO2 will be injected, possibly starting in 2013. The chemical and features of the spring waters suggest that they are related to a shallow hydrogeological system as the concentration of the Total Dissolved Solids approaches 800 mg/L with a Ca2+(Mg2+)-HCO3− composition, similar to that of the surface waters. This is also supported by the oxygen and hydrogen isotopic ratios that have values lying between those of the Global and the Mediterranean Meteoric Water Lines. Some spring waters close to the oil wells are haracterized by relatively high concentrations of NO3− (up to 123 mg/L), unequivocally suggesting an anthropogenic source that adds to the main water–rock interaction processes. The latter can be referred to Ca-Mg-carbonate and, at a minor extent, Al-silicate dissolution, being the outcropping sedimentary rocks characterized by Palaeozoic to Quaternary rocks. Anomalous concentrations of Cl−, SO42−, As, B and Ba were measured in two springs discharging a few hundred meters from the oil wells and in the Rio Ubierna. These contents are significantly higher than those of the whole set of the studied waters and are possibly indicative of mixing processes, although at very low extent, between deep and shallow aquifers. No evidence of deep-seated gases interacting with the Hontomín–Huermeces waters was recognized in the chemistry of the disolved gases. This is likely due to the fact that they are mainly characterized by an atmospheric source as highlighted by the high contents of N2, O2 and Ar and by N2/Ar ratios that approach that of ASW (Air Saturated Water) and possibly masking any contribution related to a deep source. Nevertheless, significant concentrations (up to 63% by vol.) of isotopically negative CO2 (<−17.7‰ V-PDB) were found in some water samples, likely related to a biogenic source. The geochemical and isotopic data of this work are of particular importance when a monitoring program will be established to verify whether CO2 leakages, induced by the injection of this greenhouse gas, may be affecting the quality of the waters in the shallow hydrological circuits at Hontomín–Huermeces. In this respect, carbonate chemistry, the isotopic carbon of dissolved CO2 and TDIC (Total Dissolved Inorganic Carbon) and selected trace elements can be considered as useful parameters to trace the migration of the injected CO2 into near-surface environments.

Water chemistry at Hontomín-Huermeces (Burgos, Spain): insights for a pre-, intra- and post-CO2 injection geochemical monitoring.

In this study, the very first geochemical and isotopic data related to surface and spring waters and dissolved gases in the area of Hontomín-Huermeces (Burgos, Spain) are presented and discussed. Hontomín-Huermeces was selected as a pilot site for the injection of pure (>99 %) CO2. Injection and monitoring wells are planned to be drilled close to 6 oil wells completed in the 1980’s. Stratigraphical logs indicate the presence of a confined saline aquifer at the depth of about 1,500 m into which less than 100,000 tons of liquid CO2 will be injected, possibly starting in 2013. The chemical and isotopic features of the spring waters suggest the occurrence of a shallow aquifer having a Ca2+(Mg2+)-HCO3- composition, relatively low salinity (Total Dissolved Solids _800 mg/L) and a meteoric isotopic signature. Some spring waters close to the oil wells are characterized by relatively high concentrations of NO3- (up to 123 mg/L), unequivocally indicating anthropogenic contamination that adds to the main water-rock interaction processes. The latter can be referred to Ca-Mg-carbonate and, at a minor extent, Al-silicate dissolution, being the outcropping sedimentary rocks characterized by Palaeozoic to Quaternary rocks. Anomalous concentrations of Cl-, SO42-, As, B and Ba were measured in two springs discharging a few hundreds meters from the oil wells and in the Rio Ubierna, possibly indicative of mixing processes, although at very low extent, between deep and shallow aquifers. Gases dissolved in spring waters show relatively high concentrations of atmospheric species, such as N2, O2 and Ar, and isotopically negative CO2 (<-17.7 h V-PDB), likely related to a biogenic source, possibly masking any contribution related to a deep source. The geochemical and isotopic data of this study are of particular importance when a monitoring program will be established to verify whether CO2 leakages, induced by the injection of this greenhouse gas, may affect the quality of the waters of the shallow Hontomín-Huermeces hydrological circuit. In this respect, carbonate chemistry, the isotopic carbon of dissolved CO2 and TDIC (Total Dissolved Inorganic Carbon) and selected trace elements can be considered as useful parameters to trace the migration of the injected CO2 into near-surface environments.

An online failure prediction system for private IaaS platforms

The size and complexity of cloud environments make them prone to failures. The traditional approach to achieve a high dependability for these systems relies on constant monitoring. However, this method is purely reactive. A more proactive approach is provided by online failure prediction (OFP) techniques. In this paper, we describe a OFP system for private IaaS platforms, currently under development, that combines di_erent types of data input, including monitoring information, event logs, and failure data. In addition, this system operates at both the physical and virtual planes of the cloud, taking into account the relationships between nodes and failure propagation mechanisms that are unique to cloud environments.

CsRAV1: a candidate gene for improving lignocellulosic biomass yield

Fast-growing tree species of Populus spp.,Salix spp. and Eucalyptus spp. are cultivated to produce wood in a short time. Poplars are cultivated with cycles of 15-18 years to obtain saw timber and peeler logs, but when grown as short -rotation coppice(SRC) to produce biomass, planting density increases and rotation is considerably reduced (3-5 years). In this regard, research efforts are focused in the identification of traits and loci that allow the generation of improved SRC biomass-yielding genotypes. Biomass yield is a highly complex trait as it is the combined outcome of many other complex traits, each under separate polygenic control. Among profitable biomass yield-related traits are the amount of sylleptic branching and the length of winter dormancy. In poplar and in a few other Salicaceae species some lateral buds grow out sylleptically, the same season in which they form without the need of an intervening rest period. Sylleptic branching in poplar increases branch number, leaf area and general growth of the tree in its early years, and is a reasonable predictor of coppice yield. On the other hand, the length of winter dormancy determines the extent of the growth period. Our group has characterized the RAV1 gene of Castanea sativa (CsRAV1), encoding a transcription factor of the subfamily RAV (Related to ABI3/VP1). CsRAV1 expression shows a marked seasonal pattern, being higher in autumn and winter both in stems and buds. We generated transgenic lines of the hybrid clone Populus tremulax P. alba INRA 717 1B4 constitutively expressing CsRAV 1. These CsRAV1-expressing poplars develop sylleptic branches only a few weeks after potting. In addition to the sylleptic branching phenotype, these trees show phenological features that could give rise to an extended growth period. We are currently assessing the phenotype and behavior of these transgenic trees in a field trial, and ultimately, we will evaluate the impact on lignocellulosic biomass quality and production.

Análisis del contenido en frecuencias de vibraciones por voladura

Este proyecto tiene por objeto el análisis de las diferentes frecuencias y tipos de onda presentes en los registros de vibraciones de las voladuras. Se han utilizado 108 registros de 4 barrenos sencillos disparados individualmente y una voladura de producción. Se estudian así mismo la evolución de las frecuencias (en relación a la distancia y a la geología particular de cresta y plaza) y la ley de atenuación del terreno que relaciona la evolución velocidad de partícula en función de la distancia escalada. Para la voladura de producción se analiza si las vibraciones cumplen la normativa vigente según la norma UNE 22.381.93 “Control de Vibraciones Producidas por Voladuras”. Abstract The main objective of this project is to analyze the different types and frequencies of seismic waves found in blasting logs. 108 logs from 4 single shots and a standard production blasting have been used. The evolution of frequencies (regarding distance and different geologies of crest and toe) and the attenuation law which allows us to obtain peak particle velocity regarding distance are also studied. For the production blasting, data is compared to the limits set by current regulations following the standard UNE 22.381.93 “Control de Vibraciones Producidas por Voladuras”.

Herramienta para la gestión de diarios de entretenimientos configurables

El Trabajo Fin de Grado ha consistido en el diseño e implementación de una herramienta para la gestión y administración de los entrenamientos de atletas de deportes individuales. Hasta ahora los deportistas debían gestionar sus entrenamientos a través de hojas de cálculo, teniendo que dedicar tiempo al aprendizaje de herramientas como Microsoft Excel u OpenOffice Excel para personalizar las plantillas y guardar los datos, utilizar otras herramientas como Google Calendar para obtener una visión de un calendario con los entrenamientos realizados o bien utilizar programas hechos a medida para un deporte e incluso para un deportista. El objetivo principal consistía en desarrollar una herramienta que unificara todas las tareas para ofrecer al deportista las funciones de configuración de plantillas, registro y generación de gráficas de los datos registrados y visionado del calendario de entrenamientos de una forma ágil, sencilla e intuitiva, adaptándose a las necesidades de cualquier deporte o deportista. Para alcanzar el objetivo principal realizamos encuestas a atletas de una gran diversidad de deportes individuales, detectando las particularidades de cada deporte y analizando los datos que nos ofrecían para alcanzar el objetivo de diseñar una herramienta versátil que permitiera su uso independientemente de los parámetros que se quisiera registrar de cada entrenamiento. La herramienta generada es una herramienta programada en Java, que ofrece portabilidad a cualquier sistema operativo que lo soporte, sin ser necesario realizar una instalación previa. Es una aplicación plug and play en la que solo se necesita del fichero ejecutable para su funcionamiento; de esta forma facilitamos que el deportista guarde toda la información en muy poco espacio, 6 megabytes aproximadamente, y pueda llevarla a cualquier lado en un pen drive o en sistemas de almacenamiento en la nube. Además, los ficheros en los que se registran los datos son ficheros CSV (valores separados por comas) con un formato estandarizado que permite la exportación a otras herramientas. Como conclusión el atleta ahorra tiempo y esfuerzo en tareas ajenas a la práctica del deporte y disfruta de una herramienta que le permite analizar de diferentes maneras cada uno de los parámetros registrados para ver su evolución y ayudarle a mejorar aquellos aspectos que sean deficientes. ---ABSTRACT---The Final Project consists in the design and implementation of a tool for the management and administration of training logs for individual athletes. Until now athletes had to manage their workouts through spreadsheets, having to spend time in learning tools such as Microsoft Excel or OpenOffice in order to save the data, others tools like Google Calendar to check their training plan or buy specifics programs designed for a specific sport or even for an athlete. The main purpose of this project is to develop an intuitive and straightforward tool that unifies all tasks offering setup functions, data recording, graph generation and training schedule to the athletes. Whit this in mind, we have interviewed athletes from a wide range of individual sports, identifying their specifications and analyzing the data provided to design a flexible tool that registers multitude of training parameters. This tool has been coded in Java, providing portability to any operating system that supports it, without installation being required. It is a plug and play application, that only requires the executable file to start working. Accordingly, athletes can keep all the information in a relative reduced space (aprox 6 megabytes) and save it in a pen drive or in the cloud. In addition, the files whit the stored data are CSV (comma separated value) files whit a standardized format that allows exporting to other tools. Consequently athletes will save time and effort on tasks unrelated to the practice of sports. The new tool will enable them to analyze in detail all the existing data and improve in those areas with development opportunities.

Detección de intrusiones basada en análisis de eventos del DNS

En este proyecto se hace un análisis en profundidad de las técnicas de ataque a las redes de ordenadores conocidas como APTs (Advanced Persistent Threats), viendo cuál es el impacto que pueden llegar a tener en los equipos de una empresa y el posible robo de información y pérdida monetaria que puede llevar asociada. Para hacer esta introspección veremos qué técnicas utilizan los atacantes para introducir el malware en la red y también cómo dicho malware escala privilegios, obtiene información privilegiada y se mantiene oculto. Además, y cómo parte experimental de este proyecto se ha desarrollado una plataforma para la detección de malware de una red en base a las webs, URLs e IPs que visitan los nodos que la componen. Obtendremos esta visión gracias a la extracción de los logs y registros de DNS de consulta de la compañía, sobre los que realizaremos un análisis exhaustivo. Para poder inferir correctamente qué equipos están infectados o no se ha utilizado un algoritmo de desarrollo propio inspirado en la técnica Belief Propagation (“Propagación basada en creencia”) que ya ha sido usada antes por desarrolladores cómo los de los Álamos en Nuevo México (Estados Unidos) para fines similares a los que aquí se muestran. Además, para mejorar la velocidad de inferencia y el rendimiento del sistema se propone un algoritmo adaptado a la plataforma Hadoop de Apache, por lo que se modifica el paradigma de programación habitual y se busca un nuevo paradigma conocido como MapReduce que consiste en la división de la información en conceptos clave-valor. Por una parte, los algoritmos que existen basados en Belief Propagation para el descubrimiento de malware son propietarios y no han sido publicados completamente hasta la fecha, por otra parte, estos algoritmos aún no han sido adaptados a Hadoop ni a ningún modelo de programación distribuida aspecto que se abordará en este proyecto. No es propósito de este proyecto desarrollar una plataforma comercial o funcionalmente completa, sino estudiar el problema de las APTs y una implementación que demuestre que la plataforma mencionada es factible de implementar. Este proyecto abre, a su vez, un horizonte nuevo de investigación en el campo de la adaptación al modelo MapReduce de algoritmos del tipo Belief Propagation basados en la detección del malware mediante registros DNS. ABSTRACT. This project makes an in-depth investigation about problems related to APT in computer networks nowadays, seeing how much damage could they inflict on the hosts of a Company and how much monetary and information loss may they cause. In our investigation we will find what techniques are generally applied by attackers to inject malware into networks and how this malware escalates its privileges, extracts privileged information and stays hidden. As the main part of this Project, this paper shows how to develop and configure a platform that could detect malware from URLs and IPs visited by the hosts of the network. This information can be extracted from the logs and DNS query records of the Company, on which we will make an analysis in depth. A self-developed algorithm inspired on Belief Propagation technique has been used to infer which hosts are infected and which are not. This technique has been used before by developers of Los Alamos Lab (New Mexico, USA) for similar purposes. Moreover, this project proposes an algorithm adapted to Apache Hadoop Platform in order to improve the inference speed and system performance. This platform replaces the traditional coding paradigm by a new paradigm called MapReduce which splits and shares information among hosts and uses key-value tokens. On the one hand, existing algorithms based on Belief Propagation are part of owner software and they have not been published yet because they have been patented due to the huge economic benefits they could give. On the other hand these algorithms have neither been adapted to Hadoop nor to other distributed coding paradigms. This situation turn the challenge into a complicated problem and could lead to a dramatic increase of its installation difficulty on a client corporation. The purpose of this Project is to develop a complete and 100% functional brand platform. Herein, show a short summary of the APT problem will be presented and make an effort will be made to demonstrate the viability of an APT discovering platform. At the same time, this project opens up new horizons of investigation about adapting Belief Propagation algorithms to the MapReduce model and about malware detection with DNS records.

A sharing-based approach to supporting adaptation in service compositions

Data-related properties of the activities involved in a service composition can be used to facilitate several design-time and run-time adaptation tasks, such as service evolution, distributed enactment, and instance-level adaptation. A number of these properties can be expressed using a notion of sharing. We present an approach for automated inference of data properties based on sharing analysis, which is able to handle service compositions with complex control structures, involving loops and sub-workflows. The properties inferred can include data dependencies, information content, domain-defined attributes, privacy or confidentiality levels, among others. The analysis produces characterizations of the data and the activities in the composition in terms of minimal and maximal sharing, which can then be used to verify compliance of potential adaptation actions, or as supporting information in their generation. This sharing analysis approach can be used both at design time and at run time. In the latter case, the results of analysis can be refined using the composition traces (execution logs) at the point of execution, in order to support run-time adaptation.

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.

Visualization of a student predictive model for 3D virtual environments driven to procedural training

This document presents theimplementation ofa Student Behavior Predictor Viewer(SBPV)for a student predictive model. The student predictive model is part of an intelligent tutoring system, and is built from logs of students’ behaviors in the “Virtual Laboratory of Agroforestry Biotechnology”implemented in a previous work.The SBPVis a tool for visualizing a 2D graphical representationof the extended automaton associated with any of the clusters ofthe student predictive model. Apart from visualizing the extended automaton, the SBPV supports the navigation across the automaton by means of desktop devices. More precisely, the SBPV allows user to move through the automaton, to zoom in/out the graphic or to locate a given state. In addition, the SBPV also allows user to modify the default layout of the automaton on the screen by changing the position of the states by means of the mouse. To developthe SBPV, a web applicationwas designedand implementedrelying on HTML5, JavaScript and C#.

Especificaciones eMathTeacher, creación del Modelo Granular Lingüístico de la evaluación del aprendizaje humano, y diseño de sistemas que implementan estos conceptos

El concepto de algoritmo es básico en informática, por lo que es crucial que los alumnos profundicen en él desde el inicio de su formación. Por tanto, contar con una herramienta que guíe a los estudiantes en su aprendizaje puede suponer una gran ayuda en su formación. La mayoría de los autores coinciden en que, para determinar la eficacia de una herramienta de visualización de algoritmos, es esencial cómo se utiliza. Así, los estudiantes que participan activamente en la visualización superan claramente a los que la contemplan de forma pasiva. Por ello, pensamos que uno de los mejores ejercicios para un alumno consiste en simular la ejecución del algoritmo que desea aprender mediante el uso de una herramienta de visualización, i. e. consiste en realizar una simulación visual de dicho algoritmo. La primera parte de esta tesis presenta los resultados de una profunda investigación sobre las características que debe reunir una herramienta de ayuda al aprendizaje de algoritmos y conceptos matemáticos para optimizar su efectividad: el conjunto de especificaciones eMathTeacher, además de un entorno de aprendizaje que integra herramientas que las cumplen: GRAPHs. Hemos estudiado cuáles son las cualidades esenciales para potenciar la eficacia de un sistema e-learning de este tipo. Esto nos ha llevado a la definición del concepto eMathTeacher, que se ha materializado en el conjunto de especificaciones eMathTeacher. Una herramienta e-learning cumple las especificaciones eMathTeacher si actúa como un profesor virtual de matemáticas, i. e. si es una herramienta de autoevaluación que ayuda a los alumnos a aprender de forma activa y autónoma conceptos o algoritmos matemáticos, corrigiendo sus errores y proporcionando pistas para encontrar la respuesta correcta, pero sin dársela explícitamente. En estas herramientas, la simulación del algoritmo no continúa hasta que el usuario introduce la respuesta correcta. Para poder reunir en un único entorno una colección de herramientas que cumplan las especificaciones eMathTeacher hemos creado GRAPHs, un entorno ampliable, basado en simulación visual, diseñado para el aprendizaje activo e independiente de los algoritmos de grafos y creado para que en él se integren simuladores de diferentes algoritmos. Además de las opciones de creación y edición del grafo y la visualización de los cambios producidos en él durante la simulación, el entorno incluye corrección paso a paso, animación del pseudocódigo del algoritmo, preguntas emergentes, manejo de las estructuras de datos del algoritmo y creación de un log de interacción en XML. Otro problema que nos planteamos en este trabajo, por su importancia en el proceso de aprendizaje, es el de la evaluación formativa. El uso de ciertos entornos e-learning genera gran cantidad de datos que deben ser interpretados para llegar a una evaluación que no se limite a un recuento de errores. Esto incluye el establecimiento de relaciones entre los datos disponibles y la generación de descripciones lingüísticas que informen al alumno sobre la evolución de su aprendizaje. Hasta ahora sólo un experto humano era capaz de hacer este tipo de evaluación. Nuestro objetivo ha sido crear un modelo computacional que simule el razonamiento del profesor y genere un informe sobre la evolución del aprendizaje que especifique el nivel de logro de cada uno de los objetivos definidos por el profesor. Como resultado del trabajo realizado, la segunda parte de esta tesis presenta el modelo granular lingüístico de la evaluación del aprendizaje, capaz de modelizar la evaluación y generar automáticamente informes de evaluación formativa. Este modelo es una particularización del modelo granular lingüístico de un fenómeno (GLMP), en cuyo desarrollo y formalización colaboramos, basado en la lógica borrosa y en la teoría computacional de las percepciones. Esta técnica, que utiliza sistemas de inferencia basados en reglas lingüísticas y es capaz de implementar criterios de evaluación complejos, se ha aplicado a dos casos: la evaluación, basada en criterios, de logs de interacción generados por GRAPHs y de cuestionarios de Moodle. Como consecuencia, se han implementado, probado y utilizado en el aula sistemas expertos que evalúan ambos tipos de ejercicios. Además de la calificación numérica, los sistemas generan informes de evaluación, en lenguaje natural, sobre los niveles de competencia alcanzados, usando sólo datos objetivos de respuestas correctas e incorrectas. Además, se han desarrollado dos aplicaciones capaces de ser configuradas para implementar los sistemas expertos mencionados. Una procesa los archivos producidos por GRAPHs y la otra, integrable en Moodle, evalúa basándose en los resultados de los cuestionarios. ABSTRACT The concept of algorithm is one of the core subjects in computer science. It is extremely important, then, for students to get a good grasp of this concept from the very start of their training. In this respect, having a tool that helps and shepherds students through the process of learning this concept can make a huge difference to their instruction. Much has been written about how helpful algorithm visualization tools can be. Most authors agree that the most important part of the learning process is how students use the visualization tool. Learners who are actively involved in visualization consistently outperform other learners who view the algorithms passively. Therefore we think that one of the best exercises to learn an algorithm is for the user to simulate the algorithm execution while using a visualization tool, thus performing a visual algorithm simulation. The first part of this thesis presents the eMathTeacher set of requirements together with an eMathTeacher-compliant tool called GRAPHs. For some years, we have been developing a theory about what the key features of an effective e-learning system for teaching mathematical concepts and algorithms are. This led to the definition of eMathTeacher concept, which has materialized in the eMathTeacher set of requirements. An e-learning tool is eMathTeacher compliant if it works as a virtual math trainer. In other words, it has to be an on-line self-assessment tool that helps students to actively and autonomously learn math concepts or algorithms, correcting their mistakes and providing them with clues to find the right answer. In an eMathTeacher-compliant tool, algorithm simulation does not continue until the user enters the correct answer. GRAPHs is an extendible environment designed for active and independent visual simulation-based learning of graph algorithms, set up to integrate tools to help the user simulate the execution of different algorithms. Apart from the options of creating and editing the graph, and visualizing the changes made to the graph during simulation, the environment also includes step-by-step correction, algorithm pseudo-code animation, pop-up questions, data structure handling and XML-based interaction log creation features. On the other hand, assessment is a key part of any learning process. Through the use of e-learning environments huge amounts of data can be output about this process. Nevertheless, this information has to be interpreted and represented in a practical way to arrive at a sound assessment that is not confined to merely counting mistakes. This includes establishing relationships between the available data and also providing instructive linguistic descriptions about learning evolution. Additionally, formative assessment should specify the level of attainment of the learning goals defined by the instructor. Till now, only human experts were capable of making such assessments. While facing this problem, our goal has been to create a computational model that simulates the instructor’s reasoning and generates an enlightening learning evolution report in natural language. The second part of this thesis presents the granular linguistic model of learning assessment to model the assessment of the learning process and implement the automated generation of a formative assessment report. The model is a particularization of the granular linguistic model of a phenomenon (GLMP) paradigm, based on fuzzy logic and the computational theory of perceptions, to the assessment phenomenon. This technique, useful for implementing complex assessment criteria using inference systems based on linguistic rules, has been applied to two particular cases: the assessment of the interaction logs generated by GRAPHs and the criterion-based assessment of Moodle quizzes. As a consequence, several expert systems to assess different algorithm simulations and Moodle quizzes have been implemented, tested and used in the classroom. Apart from the grade, the designed expert systems also generate natural language progress reports on the achieved proficiency level, based exclusively on the objective data gathered from correct and incorrect responses. In addition, two applications, capable of being configured to implement the expert systems, have been developed. One is geared up to process the files output by GRAPHs and the other one is a Moodle plug-in set up to perform the assessment based on the quizzes results.