AuxAula: contruyendo puentes entre alumno y profesor. Transformar la distracción en productividad

La rápida evolución de la tecnología móvil y su democratización, debido al decremento de su coste y a su alta variedad de gamas en el mercado; junto a la inexistencia de una educación de manejo responsable y a su uso inadecuado, han conllevado a que las nuevas generaciones cada vez tengan mayor dependencia de estos dispositivos. Este uso continuado afecta, en consecuencia, a muchos aspectos de nuestras vidas, incluyendo las relaciones personales, laborales o académicas. El objetivo de este proyecto es el de desarrollar una herramienta que, utilizando el potencial positivo de esta tecnología, ayude a los usuarios a disminuir las distracciones y a enfocar su atención, inhibiendo factores disruptivos de la concentración mostrando, de forma transparente, el uso del dispositivo y utilizando métodos de la educación dinámica. Para ello, tras realizar un estudio de la situación actual, se ha diseñado e implementado el prototipo de una aplicación académica para alumnos y profesores, que, utilizando los métodos ya mencionados, incremente los resultados del aprendizaje en el aula, a la par que intenta construir buenos hábitos de uso y recuperar la confianza en la tecnología

Evaluación de la realimentación semántica de SQL en DES

El objetivo de este proyecto ha sido evaluar en clase la herramienta de realimentación semántica de consultas SQL, desarrollada sobre el sistema DES, ampliarla y mejorarla. Esta solicitud es continuación de un proyecto de la convocatoria anterior (curso 2017-2018). Se ha mejorado tanto el componente nuclear DES como la interfaz de usuario web. Los alumnos han usado y evaluado la herramienta en clases de bases de datos de varias facultades, completando las encuentas que se les han proporcionado

Diseño de una metodología para la implantación de herramientas automáticas de corrección de estilo y buenas prácticas en asignaturas de programación

Depto. de Sistemas Informáticos y ComputaciónFac. de InformáticaFALSEsubmitte

Juez automático para el aprendizaje de bases de datos

Proponemos desarrollar un juez automático para el aprendizaje de bases de datos. Este sistema web permitirá a los estudiantes practicar con diferentes ejercicios de bases de datos desde casa y recibir retroalimentación inmediata sobre los fallos

SQLab Extension: Laboratorio virtual lenguaje SQL

Extensión de la plataforma SQLab con nuevas funcionalidades que permitan a estudiantes de Bases de Datos evaluar sus conocimientos de diseño de instrucciones DML del lenguaje SQL y a los docentes hacer un seguimiento de la evolucion de sus alumnos

Health care and societal costs of the management of children and adolescents with attention-deficit/hyperactivity disorder in Spain: a descriptive analysis

Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental condition in childhood (5.3% to 7.1% worldwide prevalence), with substantial overall financial burden to children/adolescents, their families, and society. The aims of this study were to describe the clinical characteristics of children and adolescents with ADHD in Spain, estimate the associated direct/indirect costs of the disorder, and assess whether the characteristics and financial costs differed between children/adolescents adequately responding to currently available pharmacotherapies compared with children/adolescents for whom pharmacotherapies failed. Methods: This was a multicenter, cross-sectional, descriptive analysis conducted in 15 health units representative of the overall Spanish population. Data on demographic characteristics, socio-occupational status, social relationships, clinical variables of the disease, and pharmacological and non-pharmacological treatments received were collected in 321 children and adolescents with ADHD. Direct and indirect costs were estimated over one year from both a health care system and a societal perspective. Results: The estimated average cost of ADHD per year per child/adolescent was €5733 in 2012 prices; direct costs accounted for 60.2% of the total costs (€3450). Support from a psychologist/educational psychologist represented 45.2% of direct costs and 27.2% of total costs. Pharmacotherapy accounted for 25.8% of direct costs and 15.5% of total costs. Among indirect costs (€2283), 65.2% was due to caregiver expenses. The total annual costs were significantly higher for children/adolescents who responded poorly to pharmacological treatment (€7654 versus €5517; P = 0.024), the difference being mainly due to significantly higher direct costs, particularly with larger expenses for non-pharmacological treatment (P = 0.012). Conclusions: ADHD has a significant personal, familial, and financial impact on the Spanish health system and society. Successful pharmacological intervention was associated with lower overall expenses in the management of the disorde

Health care and societal costs of the management of children and adolescents with attention-deficit/hyperactivity disorder in Spain: a descriptive analysis.

Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental condition in childhood (5.3% to 7.1% worldwide prevalence), with substantial overall financial burden to children/adolescents, their families, and society. The aims of this study were to describe the clinical characteristics of children and adolescents with ADHD in Spain, estimate the associated direct/indirect costs of the disorder, and assess whether the characteristics and financial costs differed between children/adolescents adequately responding to currently available pharmacotherapies compared with children/adolescents for whom pharmacotherapies failed. Methods: This was a multicenter, cross-sectional, descriptive analysis conducted in 15 health units representative of the overall Spanish population. Data on demographic characteristics, socio-occupational status, social relationships, clinical variables of the disease, and pharmacological and non-pharmacological treatments received were collected in 321 children and adolescents with ADHD. Direct and indirect costs were estimated over one year from both a health care system and a societal perspective. Results: The estimated average cost of ADHD per year per child/adolescent was ¿5733 in 2012 prices; direct costs accounted for 60.2% of the total costs (¿3450). Support from a psychologist/educational psychologist represented 45.2% of direct costs and 27.2% of total costs. Pharmacotherapy accounted for 25.8% of direct costs and 15.5% of total costs. Among indirect costs (¿2283), 65.2% was due to caregiver expenses. The total annual costs were significantly higher for children/adolescents who responded poorly to pharmacological treatment (¿7654 versus ¿5517; P = 0.024), the difference being mainly due to significantly higher direct costs, particularly with larger expenses for non-pharmacological treatment (P = 0.012). Conclusions: ADHD has a significant personal, familial, and financial impact on the Spanish health system and society. Successful pharmacological intervention was associated with lower overall expenses in the management of the disorder

Non-Cumulative Resource Analysis (Author’s version)

Existing cost analysis frameworks have been defined for cumulative resources which keep on increasing along the computation. Traditional cumulative resources are execution time, number of executed steps, amount of memory allocated, and energy consumption. Noncumulative resources are acquired and (possibly) released along the execution. Examples of non-cumulative cost are memory usage in the presence of garbage collection, number of connections established that are later closed, or resources requested to a virtual host which are released after using them. We present, to the best of our knowledge, the first generic static analysis framework to infer an upper bound on the peak cost for non-cumulative types of resources. Our analysis comprises several components: (1) a pre-analysis to infer when resources are being used simultaneously, (2) a program-point resource analysis which infers an upper bound on the cost at the points of interest (namely the points where resources are acquired) and (3) the elimination from the upper bounds obtained in (2) of those resources accumulated that are not used simultaneously. We report on a prototype implementation of our analysis that can be used on a simple imperative language

A Multi-Domain Incremental Analysis Engine and its Application to Incremental Resource Analysis

The aim of incremental analysis is, given a program, its analysis results, and a series of changes to the program, to obtain the new analysis results as eficiently as possible and, ideally, without having to (re-)analyze fragments of code which are not affected by the changes. Incremental analysis can significantly reduce both the time and the memory requirements of analysis. The first contribution of this article is a multi-domain incremental fixed-point algorithm for a sequential Java-like language. The algorithm is multi-domain in the sense that it interleaves the (re-)analysis for multiple domains by taking into account dependencies among them. Importantly, this allows the incremental analyzer to invalidate only those analysis results previously inferred by certain dependent domains. The second contribution is an incremental resource usage analysis which, in its first phase, uses the multi-domain incremental fixed-point algorithm to carry out all global pre-analyses required to infer cost in an interleaved way. Such resource analysis is parametric on the cost metrics one wants to measure (e.g., number of executed instructions, number of objects created, etc.). Besides, we present a novel form of cost summaries which allows us to incrementally reconstruct only those components of cost functions affected by the changes. Experimental results in the costa system show that the proposed incremental analysis provides significant performance gains, ranging from a speedup of 1.48 up to 5.13 times faster than non-incremental analysis