Person:
Sarasa Cabezuelo, Antonio

First Name

Antonio

Last Name

Sarasa Cabezuelo

URI

https://hdl.handle.net/20.500.14352/78724

Affiliation

Universidad Complutense de Madrid

Faculty / Institute

Informática

Department

Sistemas Informáticos y Computación

Area

Lenguajes y Sistemas Informáticos

Identifiers

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Search Results

Now showing 1 - 10 of 26

Herramienta de evaluación de la calidad de los Materiales Educativos Digitales: perfiles de aplicación del profesor y del alumno
(UNE 71362 Calidad de los materiales educativos digitales, 2017) Fernández-Pampillón Cesteros, Ana María; Porras Guardo, Arturo de; González Serrano, Ángel Luis; García Villalobos, Julián; Moreno López, Lourdes; Domínguez Romero, Elena; Armas Ranero, Isabel de; Rodrigo, Covadonga; Sarasa Cabezuelo, Antonio; Arús Hita, Jorge; Sierra Rodríguez, Jose Luis; Cabanilles Gomar, Juan Pedro; Vizoso Martín, Clara María; González Maroto, Yolanda; Camacho Fernández, Patricia; Iglesias Vázquez, Pedro Luis; Pons Betrián, Daniel; Castro Soriano, Luis de; Delgado Leal, Jose Luis
Este documento contiene dos adaptaciones de la herramienta de evaluación de la calidad de materiales educativos digitales (MED) del estándar UNE 71362 al profesor y al alumno que no son especialistas en Tecnologías ni en Accesibilidad con el fin de facilitar o mejorar la creación y selección de MED. Estos perfiles de aplicación no garantizan el cumplimiento del 100% de los criterios de calidad, por lo que no pueden ser usados como herramienta para certificar la calidad de los MED. Sin embargo, sí pueden ser usados para asegurar/comprobar con más facilidad determinados aspectos de la calidad.
Development of a Management System for Short Online Learning Courses
(Education Sciences, 2021) Sarasa Cabezuelo, Antonio
In all areas of knowledge, there is a set of basic concepts or ideas that are essential to understand. A very common problem that arises among students is the difficulty in acquiring these concepts. One way to solve this problem is by carrying out small knowledge tests where these concepts are put into practice. To develop these tests there are multiple options, however, in general, the applications that allow for these tests to be implemented are usually very complex and are often included within other larger systems. This article describes a tool to develop short online courses that presents an interface and a functionality that allows a teacher to create and manage courses in a very simple and intuitive way. In the same way, it offers the student an Android app to be able to access the courses published by the teacher to be able to take them, as well as to manage all the activity of it.
Desarrollo de una red de repositorios distribuidos de objetos de aprendizaje
(IV Jornada Campus Virtual UCM: Experiencias en el Campus Virtual (Resultados), 2008) Bartolomé, Jesús; DiPierro, Gerónimo; Marcos, Jesús Javier; Ortega, Alberto; Sarasa Cabezuelo, Antonio; Fernández-Valmayor Crespo, Alfredo; Sanz Cabrerizo, Amelia; Merino Granizo, Jorge
En este artículo se describe una aplicación que implementa una red de repositorios distribuidos de objetos de aprendizaje, realizada en el contexto de un proyecto fin de carrera de la Facultad de Informática de la Universidad Complutense de Madrid. También como parte de esta red se ha desarrollado en paralelo en el contexto de una beca de colaboración un editor de objetos de aprendizaje para entornos web inspirada en la famosa herramienta Reload Editor.
Development of a Mobile Application to Buy Books through Visual Recognition
(Knowledge, 2022) Sarasa Cabezuelo, Antonio
Mobile devices have become the most used tool for a large number of tasks that we regularly perform such as relating them, searching for information, and in particular for making purchases. A situation that is frequently repeated in many areas is discovering an object that belongs to another person but we would be interested in being able to acquire it. However, the problem arises of knowing where to buy it. For example, this happens with the clothes that other people are wearing. Today, technology offers recognition mechanisms that can help solve this problem. This article presents an Android app that can recognize a book based on an image and offer places where it can be purchased. For this, Google technology was used to recognize objects from images and it has been combined with the information provided by Google Books to find stores that sell recognized books. In this way, a system has been created that makes it easier for any user to identify and purchase books that they discover at any given time.
Project number: 219
Creación de una red de centros docentes para la aplicación, evaluación y difusión de un método innovador cognitivo-constructivista de iniciación al aprendizaje de lenguas con aplicación al latín y alemán
(2021) Márquez Cruz, Manuel; Fernández-Pampillón Cesteros, Ana María; Sánchez Hernández, Paloma; Vicente Espinosa, José Miguel; Ardoiz Galaz, Alfonso Carlos; López Martín, Iván; Tur Altarriba, Cristina; Carrera Huertas, María Elena; Ferreiro Yanes, María Dolores; Patón Cordero, Óscar; Cuadra García, María Florencia; Retuerto Mendaña, Antonio; Chaves Yuste, Beatriz; Mañana Rodríguez, Jorge; Caerols Pérez, José Joaquín; López Fonseca, Antonio; Sierra Rodríguez, José Luis; Sarasa Cabezuelo, Antonio; Fernández-Valmayor Crespo, Alfredo; Gómez González, Miriam; De Ágreda Coso, Eduardo Gonzalo; Del Olmo Suárez, Elena; Arias Rodríguez, Iván; Moreno López, María Lourdes; Romera García, Francisco Julián; Muñoz Pérez, Julián
El proyecto tiene como objetivo crear y poner en funcionamiento una red de centros docentes que apliquen y valoren el uso de una metodología innovadora de corte cognitivo-constructivista para el aprendizaje de lenguas declinables, así como difundir los resultados y la metodología en los foros académicos y educativos apropiados. La metodología ha sido probada con resultados satisfactorios en prototipos enfocados a un formato presencial y semipresencial para el aprendizaje del latín y del alemán. Se utiliza como herramienta didáctica un espacio virtual autoformativo -que incluye un diccionario didáctico digital innovador- diseñado para cada una de las lenguas estudiadas (alemán y latín), un espacio virtual que necesita ser evaluado respecto a su eficacia didáctica para su posterior difusión.
Project number: 245
Evaluación científica de la eficacia del nuevo método cognitivo-constructivista de iniciación al aprendizaje de nuevas lenguas. Implantación y difusión de resultados
(2020) Fernández-Pampillón Cesteros, Ana María; Ardoiz Galaz, Alfonso Carlos; Caerols Pérez, José Joaquín; Cuadra García, María Floencia; Olmo Suarez, Elena del; Fernández-Valmayor Crespo, Alfredo; Mañana Rodríguez, Jorge; Márquez Cruz, Manuel; Moreno Martín, María Lourdes; Muñoz Pérez, Julian; Patón Cordero, Oscar; Retuerto Espinosa, Antonio; Sánchez Hernández, Paloma; Sarasa Cabezuelo, Antonio; Schwandtner, Kerstin; Sierra Rodríguez, José Luis; Vicente Espinosa, José Miguel
El objetivo general del proyecto es evaluar, corregir, implantar y difundir un modelo de espacio autoformativo virtual dedicado al aprendizaje de nuevas lenguas. En concreto este modelo se ha implementado en dos espacios formativos para dos lenguas diferentes: latín y alemán. Dichos espacios están localizados en: - Curso de iniciación al aprendizaje de latín: https://cv4.ucm.es/moodle/course/view.php?id=115039 - Curso de iniciación al aprendizaje de alemán: https://cv4.ucm.es/moodle/course/view.php?id=115038 Ambos cursos tienen como soporte sendos diccionarios didácticos digitales desde los que también son accesibles los cursos: - Diccionario Didáctico Digital de latín: http://repositorios.fdi.ucm.es/DiccionarioDidacticoLatin - Diccionario Didáctico Digital de alemán: http://repositorios.fdi.ucm.es/DiccionarioDidacticoAleman
Application of Artificial Intelligence Techniques to Predict Survival in Kidney Transplantation: A Review
(Journal of Clinical Medicine, 2020) Díez Sanmartín, Covadonga; Sarasa Cabezuelo, Antonio
A key issue in the field of kidney transplants is the analysis of transplant recipients’ survival. By means of the information obtained from transplant patients, it is possible to analyse in which cases a transplant has a higher likelihood of success and the factors on which it will depend. In general, these analyses have been conducted by applying traditional statistical techniques, as the amount and variety of data available about kidney transplant processes were limited. However, two main changes have taken place in this field in the last decade. Firstly, the digitalisation of medical information through the use of electronic health records (EHRs), which store patients’ medical histories electronically. This facilitates automatic information processing through specialised software. Secondly, medical Big Data has provided access to vast amounts of data on medical processes. The information currently available on kidney transplants is huge and varied by comparison to that initially available for this kind of study. This new context has led to the use of other non-traditional techniques more suitable to conduct survival analyses in these new conditions. Specifically, this paper provides a review of the main machine learning methods and tools that are being used to conduct kidney transplant patient and graft survival analyses.
Application of Machine Learning Techniques to Analyze Patient Returns to the Emergency Department
(Journal of Personalized Medicine, 2020) Sarasa Cabezuelo, Antonio
The study of the quality of hospital emergency services is based on analyzing a set of indicators such as the average time of first medical attention, the average time spent in the emergency department, degree of completion of the medical report and others. In this paper, an analysis is presented of one of the quality indicators: the rate of return of patients to the emergency service less than 72 h from their discharge. The objective of the analysis was to know the variables that influence the rate of return and which prediction model is the best. In order to do this, the data of the activity of the emergency service of a hospital of a reference population of 290,000 inhabitants were analyzed, and prediction models were created for the binary objective variable (rate of return to emergencies) using the logistic regression techniques, neural networks, random forest, gradient boosting and assembly models. Each of the models was analyzed and the result shows that the best model is achieved through a neural network with activation function tanh, algorithm levmar and three nodes in the hidden layer. This model obtains the lowest mean squared error (MSE) and the best area under the curve (AUC) with respect to the rest of the models used.
Provenance Data Management in Health Information Systems: A Systematic Literature Review
(Journal of Personalized Medicine, 2023) Sembay, Márcio José; Jeronimo de Macedo, Douglas Dyllon; Pioli Júnior, Laércio; Maciel Braga, Regina Maria; Sarasa Cabezuelo, Antonio
Aims: This article aims to perform a Systematic Literature Review (SLR) to better understand the structures of different methods, techniques, models, methodologies, and technologies related to provenance data management in health information systems (HISs). The SLR developed here seeks to answer the questions that contribute to describing the results. Method: An SLR was performed on six databases using a search string. The backward and forward snowballing technique was also used. Eligible studies were all articles in English that presented on the use of different methods, techniques, models, methodologies, and technologies related to provenance data management in HISs. The quality of the included articles was assessed to obtain a better connection to the topic studied. Results: Of the 239 studies retrieved, 14 met the inclusion criteria described in this SLR. In order to complement the retrieved studies, 3 studies were included using the backward and forward snowballing technique, totaling 17 studies dedicated to the construction of this research. Most of the selected studies were published as conference papers, which is common when involving computer science in HISs. There was a more frequent use of data provenance models from the PROV family in different HISs combined with different technologies, among which blockchain and middleware stand out. Despite the advantages found, the lack of technological structure, data interoperability problems, and the technical unpreparedness of working professionals are still challenges encountered in the management of provenance data in HISs. Conclusion: It was possible to conclude the existence of different methods, techniques, models, and combined technologies, which are presented in the proposal of a taxonomy that provides researchers with a new understanding about the management of provenance data in HISs.
Project number: 68-2014
Desarrollo de un módulo de análisis y explotación de datos de un Mooc mediante técnicas de Big Data y gramáticas de atributos, y su incorporación a un sistema de gestión de MOOC
(2015) Sarasa Cabezuelo, Antonio
Memoria del proyecto de innovación docente PIMCD 68-2014 de la convocatoria 2014.