• Mi Re-Unir
    Búsqueda Avanzada
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Ver ítem 
    •   Inicio
    • RESULTADOS DE INVESTIGACIÓN
    • Artículos Científicos WOS y SCOPUS
    • Ver ítem
    •   Inicio
    • RESULTADOS DE INVESTIGACIÓN
    • Artículos Científicos WOS y SCOPUS
    • Ver ítem

    A Ubiquitous Learning Model for Education and Training Processes Supported by TV Everywhere Platforms

    Autor: 
    Moreno-Lopez, Gustavo A.
    ;
    Burgos, Daniel (1)
    ;
    Jimenez-Builes, Jovani A.
    Fecha: 
    2022
    Palabra clave: 
    u-learning; multiscreen; model; TV everywhere; cloud computing; Emerging
    Tipo de Ítem: 
    Articulo Revista Indexada
    URI: 
    https://reunir.unir.net/handle/123456789/14073
    DOI: 
    https://doi.org/10.3991/ijet.v17i11.30265
    Dirección web: 
    https://online-journals.org/index.php/i-jet/article/view/30265
    Open Access
    Resumen:
    Advances in technology and digital convergence, for example Netflix, enable users to view TV and video without time or place restrictions. These advances can be applied in education and training processes to enable ubiquitous learning (u-learning). However, a literature review (of the years 2002 to 2018) on u-learning models yielded scarce information about its implementation, specifically demonstrating a lack of application alternatives that could provide access to TV regardless of place and device. To contribute to this and other challenges in education, the objective of this study is to propose a reference model for u-learning implementation involving cloud-supported TV/video platforms. The model was validated in a university context by a group of experts and applied through a prototype in a real setting with students, and it showed favourable results and improvement in student performance.
    Mostrar el registro completo del ítem
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • Artículos Científicos WOS y SCOPUS

    Estadísticas de uso

    Año
    2012
    2013
    2014
    2015
    2016
    2017
    2018
    2019
    2020
    2021
    2022
    2023
    Vistas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    16
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • The Case for Serious Games Analytics 

      Moreno-Ger, Pablo (1); Burgos, Daniel (1) (Radical Solutions and Learning Analytics. Lecture Notes in Educational Technology, 2020)
      Learning analytics have become a solidly established line of research, leveraging the large amounts of data that students generate while interacting with online materials such as those stored in a learning management system ...
    • Machine Learning and Student Activity to Predict Academic Grades in Online Settings in Latam 

      Moreno-Ger, Pablo (1); Burgos, Daniel (1) (Springer Science and Business Media Deutschland GmbH, 2021)
      In the past few years, interest in applying intelligent data-mining techniques to educational datasets has increased rapidly, with goals ranging from identifying students who need further support to being able to infer or ...
    • La competencia aprender a aprender: valoración de un modelo teórico 

      Gargallo López, Bernardo; García-García, Fran J.; López-Fracncés, Inmaculada; Jiménez Rodríguez, Miguel Ángel; Moreno Navarro, Salomé (Revista Española de Pedagogía, 01/05/2020)
      La competencia aprender a aprender (AaA) es una competencia clave (Comisión Europea [CE], 2006, 2018). Su incorporación en el sistema educativo precisa de un modelo teórico sólido y compartido por los investigadores, pero ...

    Mi cuenta

    AccederRegistrar

    ¿necesitas ayuda?

    Manual de UsuarioAutorización TFG-M

    Listar

    todo Re-UnirComunidades y coleccionesPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de accesoEsta colecciónPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de acceso






    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja
     
    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja