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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/6244

    Título
    Monitoring Students at the University: Design and Application of a Moodle Plugin
    Autor
    Sáiz Manzanares, María ConsueloUBU authority Orcid
    Marticorena Sánchez, RaúlUBU authority Orcid
    García Osorio, CésarUBU authority Orcid
    Publicado en
    Applied Sciences. 2020, V. 10, n. 10, 3469
    Editorial
    MDPI
    Fecha de publicación
    2021-05
    ISSN
    2076-3417
    DOI
    10.3390/app10103469
    Abstract
    Early detection of at-risk students is essential, especially in the university environment. Moreover, personalized learning has been shown to increase motivation and lower student dropout rates. At present, the average dropout rates among students following courses leading to the award of Spanish university degrees are around 18% and 42.8% for presential teaching and online courses, respectively. The objectives of this study are: (1) to design and to implement a Modular Object-Oriented Dynamic Learning Environment (Moodle) plugin, “eOrientation”, for the early detection of at-risk students; (2) to test the effectiveness of the “eOrientation” plugin on university students. We worked with 279 third-year students following health sciences degrees. A process for extracting information records was also implemented. In addition, a learning analytics module was developed, through which both supervised and unsupervised Machine Learning techniques can be applied. All these measures facilitated the personalized monitoring of the students and the easier detection of students at academic risk. The use of this tool could be of great importance to teachers and university governing teams, as it can assist the early detection of students at academic risk. Future studies will be aimed at testing the plugin using the Moodle environment on degree courses at other universities.
    Palabras clave
    Student guidance
    Personalized learning
    Machine Learning
    Moodle
    Plugin
    Materia
    Enseñanza superior
    Education, Higher
    Psicología
    Psychology
    Informática
    Computer science
    URI
    http://hdl.handle.net/10259/6244
    Versión del editor
    https://doi.org/10.3390/app10103469
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