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    A proposal to a decision support system with learning analytics

    Autor: 
    Nieto Acevedo, Yuri Vanessa
    ;
    Montenegro Marin, Carlos Enrique
    ;
    Gaona-Garcia, Paulo Alonso
    ;
    González-Crespo, Rubén (1)
    Fecha: 
    2018
    Palabra clave: 
    Data Mining (DM); Decision Support System (DSS); Learning Analytics (LA); Scopus(2)
    Tipo de Ítem: 
    conferenceObject
    URI: 
    https://reunir.unir.net/handle/123456789/10483
    DOI: 
    https://doi.org/10.1109/EDUCON.2018.8363223
    Dirección web: 
    https://ieeexplore.ieee.org/document/8363223
    Resumen:
    Learning Analytics has acquire significance on the educational field due to it discovers hidden patterns once the data is processed and integrated in real case of use. Additionally it offers to stakeholder's support to improve their task into educational context. Authors integrated Learning Analytics techniques with a Decision Support System in a proposal to help Educational Institution's administrators in developing decision making process and collaterally improve student performance. In this paper, authors define a Decision Support System and describe its usage in a Educational Institution. The functionalities of Learning Analytics are presented and the integration to help departments administrators to improve decision impact.
    Descripción: 
    Ponencia de la conferencia "2018 IEEE Global Engineering Education Conference - Emerging Trends and Challenges of Engineering Education, EDUCON 2018; Santa Cruz de Tenerife, Canary Islands; Spain; 17 April 2018 through 20 April 2018"
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