IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i9p5177-d549373.html
   My bibliography  Save this article

A Methodology to Study the University’s Online Teaching Activity from Virtual Platform Indicators: The Effect of the Covid-19 Pandemic at Universitat Politècnica de Catalunya

Author

Listed:
  • Joana Prat

    (ICE, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain)

  • Ariadna Llorens

    (ICE, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain)

  • Francesc Salvador

    (ICE, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain)

  • Marc Alier

    (ICE, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain)

  • Daniel Amo

    (La Salle, Universitat Ramon Llull, 08022 Barcelona, Spain)

Abstract

The Covid-19 pandemic led Catalan universities to do all teaching and evaluation online from 11 March 2020 until the end of term on 30 July. Conventional universities made the transition to online teaching in just a few days and suddenly virtual platforms become the centre of interaction between lecturers and students. Data that were obtained from the virtual platforms gave extremely valuable information about what was being done in class. This paper analyses data taken from Atenea, the Moodle virtual platform at the Universitat Politècnica de Catalunya (UPC), during quarantine. The key indicators and a data analysis design for Moodle have been proposed, which reveal teaching developments at various levels (overall and at the centre and subject level). This is applied to study data from the UPC Moodle and the results are discussed. The methodology can be extrapolated to other universities with Moodle platforms because the UPC is a set of small campuses and centres.

Suggested Citation

  • Joana Prat & Ariadna Llorens & Francesc Salvador & Marc Alier & Daniel Amo, 2021. "A Methodology to Study the University’s Online Teaching Activity from Virtual Platform Indicators: The Effect of the Covid-19 Pandemic at Universitat Politècnica de Catalunya," Sustainability, MDPI, vol. 13(9), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5177-:d:549373
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/9/5177/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/9/5177/
    Download Restriction: no
    ---><---

    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:13:y:2021:i:9:p:5177-:d:549373. 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.