IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i6p2548-d336301.html
   My bibliography  Save this article

Protected Users: A Moodle Plugin To Improve Confidentiality and Privacy Support through User Aliases

Author

Listed:
  • Daniel Amo

    (Departament d’Informàtica, Universitat Ramón Llull, La Salle, 08022 Barcelona, Spain)

  • Marc Alier

    (Departament d’Enginyeria de Serveis i Sistemes d’Informació, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain)

  • Francisco José García-Peñalvo

    (Departamento de Informática y Automática, Instituto Universitario de Ciencias de la Educación, Grupo GRIAL, Universidad de Salamanca, 37008 Salamanca, Spain)

  • David Fonseca

    (Departament d’Arquitectura, Universitat Ramón Llull, La Salle, 08022 Barcelona, Spain)

  • María José Casañ

    (Departament d’Enginyeria de Serveis i Sistemes d’Informació, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain)

Abstract

The privacy policies, terms, and conditions of use in any Learning Management System (LMS) are one-way contracts. The institution imposes clauses that the student can accept or decline. Students, once they accept conditions, should be able to exercise the rights granted by the General Data Protection Regulation (GDPR). However, students cannot object to data processing and public profiling because it would be conceived as an impediment to teachers to execute their work with normality. Nonetheless, regarding GDPR and consulted legal advisors, a student could claim identity anonymization in the LMS, if adequate personal justifications are provided. Per contra, the current LMSs do not have any functionality that enables identity anonymization. This is a big problem that generates undesired situations which urgently requires a definitive solution. In this work, we surveyed students and teachers to validate the feasibility and acceptance of using aliases to anonymize their identity in LMSs as a sustainable solution to the problem. Considering the positive results, we developed a user-friendly plugin for Moodle that enables students’ identity anonymization by the use of aliases. This plugin, presented in this work and named Protected users, is publicly available online at GitHub and published under GNU General Public License.

Suggested Citation

  • Daniel Amo & Marc Alier & Francisco José García-Peñalvo & David Fonseca & María José Casañ, 2020. "Protected Users: A Moodle Plugin To Improve Confidentiality and Privacy Support through User Aliases," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2548-:d:336301
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/6/2548/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/6/2548/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marc Alier & Maria Jose Casañ Guerrero & Daniel Amo & Charles Severance & David Fonseca, 2021. "Privacy and E-Learning: A Pending Task," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    2. Daniel Amo & Sandra Cea & Nicole Marie Jimenez & Pablo Gómez & David Fonseca, 2021. "A Privacy-Oriented Local Web Learning Analytics JavaScript Library with a Configurable Schema to Analyze Any Edtech Log: Moodle’s Case Study," Sustainability, MDPI, vol. 13(9), pages 1-28, May.
    3. Francisco José García-Peñalvo, 2021. "Avoiding the Dark Side of Digital Transformation in Teaching. An Institutional Reference Framework for eLearning in Higher Education," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    4. Vacius Jusas & Rita Butkiene & Algimantas Venčkauskas & Renata Burbaite & Daina Gudoniene & Šarūnas Grigaliūnas & Diana Andone, 2021. "Models for Administration to Ensure the Successful Transition to Distance Learning during the Pandemic," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    5. Vacius Jusas & Rita Butkiene & Algimantas Venčkauskas & Šarūnas Grigaliūnas & Daina Gudoniene & Renata Burbaite & Boriss Misnevs, 2022. "Sustainable and Security Focused Multimodal Models for Distance Learning," Sustainability, MDPI, vol. 14(6), pages 1-26, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2548-:d:336301. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.