Diseño e implementación de 4SPPIces Tool: Una aplicación web para dar apoyo a la creación de actividades educativas colaborativas en entornos mezclados

La introducción de dispositivos tecnológicos como PDAs, móviles o portátiles, en la educación ofrece nuevas oportunidades para el aprendizaje. El uso apropiado de estas herramientas abre la posibilidad a un abanico de escenarios educativos colaborativos que no serían posibles sin la tecnología. Sin embargo, uno de los problemas principales que dificulta la adopción de estos dispositivos en entornos educativos reales es el comprender cómo aplicarlos de forma adecuada y beneficiosa para cubrir los objetivos de aprendizaje esperados. Para ello es necesario establecer vínculos entre educadores y tecnólogos para que este tipo de escenarios se puedan llevar a cabo. Por un lado, los educadores tienen conocimientos sobre prácticas educativas y, por otro lado, los tecnólogos pueden aportar con sus conocimientos acerca de las oportunidades que las tecnologías ofrecen. 4SPPIces es un modelo conceptual que tiene como objetivo establecer este puente entre las dos comunidades. Concretamente, se trata de un modelo que propone 4 factores interrelacionados que deben considerarse en el diseño de experiencias educativas colaborativas que combinen actividades dentro y fuera del aula: (1) el método pedagógico (Pedagiocal Method), (2) los participantes (Participants), (3) el espacio (Space) y (4) el historial (History). El objetivo de este proyecto es desarrollar una aplicación web para que educadores y tecnólogos colaboren en el diseño de escenarios basados en este modelo. Concretamente, este trabajo presenta el proceso de desarrollo de la aplicación así como algunas pruebas con usuarios para analizar la usabilidad y utilidad del sistema.

Evaluación de la experiencia Google: temas de satisfacción y mejoras al diseño de la búsqueda web

En este proyecto se va a realizar una evaluación a Google para encontrar los puntos débiles de la aplicación y proponer soluciones y/o mejoras.Empezaremos introduciendo la historia de Google para tener referencias de cómo y dónde surgió, el algoritmo de PageRank que es el núcleo del motor de búsqueda y el hardware y software que ha desarrollado con su propia tecnología.Previamente se introducirán los requisitos que se necesitarán para entender cómo se van a evaluar los cuestionarios, es decir, se explicará la escalera Likert y las dos aplicaciones desarrolladas para realizar el análisis de las queries obtenidas.A continuación se detallará como se realizará la evaluación y se propondrá un cuestionario para este fin. Una vez enviado el cuestionario, obtendremos los datos necesarios para poder evaluar Google.Al concluir la evaluación, se propondrán 5 mejoras para dar más control al usuario y para poder evaluarlas se creará otro cuestionario. Con los datos que se obtendrán de este, se realizará una evaluación de las mejoras y se analizará si tienen una buena acogidas por parte de los usuarios.Para finalizar el proyecto, se realizarán unas conclusiones globales de todos los datos analizados y de las propuestas de mejora.

Dispositius de control a la web: una topologia dels llocs webs a l'Estat Espanyol

Navegar per la World Wide Web és avui una acció rutinària per milions de persones arreu del globus terraqui. En el transcurs d'aquesta activitat cada individu deixa traces digitals a mesura que es va relacionant amb cada un dels elements que integren la Web. Aquest treball de recerca es proposa analitzar el codi font de llocs web per trobar evidències d'aquest procés latent de recollida de dades i, en la mesura del possible (i també del factible), identificar actors, establir usos potencials i cartografiar els espais de la web tenint en compte el grau de monitorització al que està sotmès l'usuari quan els visita.

Testing I(1) against I(d) alternatives in the presence of deteministic components

This paper discusses the role of deterministic components in the DGP and in the auxiliary regression model which underlies the implementation of the Fractional Dickey-Fuller (FDF) test for I(1) against I(d) processes with d ∈ [0, 1). This is an important test in many economic applications because I(d) processess with d & 1 are mean-reverting although, when 0.5 ≤ d & 1,, like I(1) processes, they are nonstationary. We show how simple is the implementation of the FDF in these situations, and argue that it has better properties than LM tests. A simple testing strategy entailing only asymptotically normally distributed tests is also proposed. Finally, an empirical application is provided where the FDF test allowing for deterministic components is used to test for long-memory in the per capita GDP of several OECD countries, an issue that has important consequences to discriminate between growth theories, and on which there is some controversy.

Panel index VAR models: Specification, Estimation, Testing and Leading Indicators

This paper proposes a method to conduct inference in panel VAR models with cross unit interdependencies and time variations in the coefficients. The approach can be used to obtain multi-unit forecasts and leading indicators and to conduct policy analysis in a multiunit setups. The framework of analysis is Bayesian and MCMC methods are used to estimate the posterior distribution of the features of interest. The model is reparametrized to resemble an observable index model and specification searches are discussed. As an example, we construct leading indicators for inflation and GDP growth in the Euro area using G-7 information.

Aplicación de gestión y web para un criadero-residencia canino.

El objetivo de este proyecto es implementar un sitio Web i un programa gestor de datos para el criadero/residencia canino De La Serranía (Madrid). Gracias al desarrollo de esta aplicación y del sitio Web se conseguirá que el cliente suprima el uso de todo el papel utilizado anteriormente para guardar la información relativa a clientes, animales y entradas a la residencia, podrá controlar la ocupación de la residencia y generar automáticamente las facturas, crear automáticamente árboles genealógicos de todos los ejemplares registrados, mejorar el rendimiento del criadero gracias a la opción que controla los datos de cría de cada animal: fecha de monta, fecha de parto, resultados de cada parto, etc. y controlar los gastos y ganancias de la empresa

Stepwise multiple testing as formalized data snooping

It is common in econometric applications that several hypothesis tests arecarried out at the same time. The problem then becomes how to decide whichhypotheses to reject, accounting for the multitude of tests. In this paper,we suggest a stepwise multiple testing procedure which asymptoticallycontrols the familywise error rate at a desired level. Compared to relatedsingle-step methods, our procedure is more powerful in the sense that itoften will reject more false hypotheses. In addition, we advocate the useof studentization when it is feasible. Unlike some stepwise methods, ourmethod implicitly captures the joint dependence structure of the teststatistics, which results in increased ability to detect alternativehypotheses. We prove our method asymptotically controls the familywise errorrate under minimal assumptions. We present our methodology in the context ofcomparing several strategies to a common benchmark and deciding whichstrategies actually beat the benchmark. However, our ideas can easily beextended and/or modied to other contexts, such as making inference for theindividual regression coecients in a multiple regression framework. Somesimulation studies show the improvements of our methods over previous proposals. We also provide an application to a set of real data.

Global Nash convergence of Foster and Young's regret testing

We construct an uncoupled randomized strategy of repeated play such that, if every player follows such a strategy, then the joint mixed strategy profiles converge, almost surely, to a Nash equilibrium of the one-shot game. The procedure requires very little in terms of players' information about the game. In fact, players' actions are based only on their own past payoffs and, in a variant of the strategy, players need not even know that their payoffs are determined through other players' actions. The procedure works for general finite games and is based on appropriate modifications of a simple stochastic learningrule introduced by Foster and Young.

Testing I(1) against I(d) alternatives in the presence of deteministic components

This paper discusses the role of deterministic components in the DGP and in the auxiliaryregression model which underlies the implementation of the Fractional Dickey-Fuller (FDF) test for I(1) against I(d) processes with d [0, 1). This is an important test in many economic applications because I(d) processess with d < 1 are mean-reverting although, when 0.5 = d < 1, like I(1) processes, they are nonstationary. We show how simple is the implementation of the FDF in these situations, and argue that it has better properties than LM tests. A simple testing strategy entailing only asymptotically normally distributedtests is also proposed. Finally, an empirical application is provided where the FDF test allowing for deterministic components is used to test for long-memory in the per capita GDP of several OECD countries, an issue that has important consequences to discriminate between growth theories, and on which there is some controversy.

Bringing game theory to hypothesis testing: Establishing finite sample bounds on inference

Small sample properties are of fundamental interest when only limited data is avail-able. Exact inference is limited by constraints imposed by speci.c nonrandomizedtests and of course also by lack of more data. These e¤ects can be separated as we propose to evaluate a test by comparing its type II error to the minimal type II error among all tests for the given sample. Game theory is used to establish this minimal type II error, the associated randomized test is characterized as part of a Nash equilibrium of a .ctitious game against nature.We use this method to investigate sequential tests for the di¤erence between twomeans when outcomes are constrained to belong to a given bounded set. Tests ofinequality and of noninferiority are included. We .nd that inference in terms oftype II error based on a balanced sample cannot be improved by sequential sampling or even by observing counter factual evidence providing there is a reasonable gap between the hypotheses.

Testing for convergence clubs in income per-capita: A predictive density approach

The paper proposes a technique to jointly test for groupings of unknown size in the cross sectional dimension of a panel and estimates the parameters of each group, and applies it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data, conditional on the parameters of the model. The steady state distribution of European regional data clusters around four poles of attraction with different economic features. The distribution of incomeper-capita of OECD countries has two poles of attraction and each grouphas clearly identifiable economic characteristics.

Testing the descriptive performance of the rank-dependent utility in the domain of health profiles

Expected utility theory (EUT) has been challenged as a descriptive theoryin many contexts. The medical decision analysis context is not an exception.Several researchers have suggested that rank dependent utility theory (RDUT)may accurately describe how people evaluate alternative medical treatments.Recent research in this domain has addressed a relevant feature of RDU models-probability weighting-but to date no direct test of this theoryhas been made. This paper provides a test of the main axiomatic differencebetween EUT and RDUT when health profiles are used as outcomes of riskytreatments. Overall, EU best described the data. However, evidence on theediting and cancellation operation hypothesized in Prospect Theory andCumulative Prospect Theory was apparent in our study. we found that RDUoutperformed EU in the presentation of the risky treatment pairs in whichthe common outcome was not obvious. The influence of framing effects onthe performance of RDU and their importance as a topic for future researchis discussed.

Exact and approximate stepdown methods for multiple hypothesis testing

Consider the problem of testing k hypotheses simultaneously. In this paper,we discuss finite and large sample theory of stepdown methods that providecontrol of the familywise error rate (FWE). In order to improve upon theBonferroni method or Holm's (1979) stepdown method, Westfall and Young(1993) make eective use of resampling to construct stepdown methods thatimplicitly estimate the dependence structure of the test statistics. However,their methods depend on an assumption called subset pivotality. The goalof this paper is to construct general stepdown methods that do not requiresuch an assumption. In order to accomplish this, we take a close look atwhat makes stepdown procedures work, and a key component is a monotonicityrequirement of critical values. By imposing such monotonicity on estimatedcritical values (which is not an assumption on the model but an assumptionon the method), it is demonstrated that the problem of constructing a validmultiple test procedure which controls the FWE can be reduced to the problemof contructing a single test which controls the usual probability of a Type 1error. This reduction allows us to draw upon an enormous resamplingliterature as a general means of test contruction.

Testing financing constraints on firm investment using variable capital

We consider a dynamic multifactor model of investment with financing imperfections,adjustment costs and fixed and variable capital. We use the model to derive a test offinancing constraints based on a reduced form variable capital equation. Simulation resultsshow that this test correctly identifies financially constrained firms even when the estimationof firms investment opportunities is very noisy. In addition, the test is well specified inthe presence of both concave and convex adjustment costs of fixed capital. We confirmempirically the validity of this test on a sample of small Italian manufacturing companies.

Full insurance, asymmetric information and genetic testing

This paper extends previous resuls on optimal insurance trading in the presence of a stock market that allows continuous asset trading and substantial personal heterogeneity, and applies those results in a context of asymmetric informationwith references to the role of genetic testing in insurance markets.We find a novel and surprising result under symmetric information:agents may optimally prefer to purchase full insurance despitethe presence of unfairly priced insurance contracts, and other assets which are correlated with insurance.Asymmetric information has a Hirschleifer-type effect whichcan be solved by suspending insurance trading. Nevertheless,agents can attain their first best allocations, which suggeststhat the practice of restricting insurance not to be contingenton genetic tests can be efficient.