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Collaborative data mining tool for education

Abstract:

This paper describes a collaborative educational data mining tool based on association rule mining for the continuous improvement of e-learning courses allowing teachers with similar course's profile sharing and scoring the discovered information. This mining tool is oriented to be used by instructors non experts in data mining such that, its internal operation is transparent to the user and the instructor can be focused in to the analysis of the results and make decisions about how to improve e-learning courses.

Año de publicación:

2009

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Minería de datos
    • Ciencias de la computación

    Áreas temáticas:

    • Funcionamiento de bibliotecas y archivos

    Contribuidores:

    Carlos De Castro LozanoCarlos De Castro Lozano
    Gea M.Gea M.
    Salcines E.G.Salcines E.G.
    Romero Morales C.Romero Morales C.
    Ventura Soto S.Ventura Soto S.