IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v41y2022i1p139-158.html
   My bibliography  Save this article

Problem-based collaborative learning groupware to improve computer programming skills

Author

Listed:
  • Atef Chorfi
  • Djalal Hedjazi
  • Sofiane Aouag
  • Djalleleddine Boubiche

Abstract

In this paper, a new computer-supported collaborative learning-based groupware is proposed for supporting problem-based collaborative learning in computer programming education setting. The geo-distributed learners can collaboratively with their tutor resolve the common programming problem within a shared workspace. The proposed system embeds some synchronous and asynchronous collaborative tools that allow learners and tutor to interact with each other to develop a shared source code of the program. This research work has two main objectives. First, it attempts to present the proposed groupware functionalities. Second, it discusses the experimental study adopted to assess the acceptability of the Groupware. Such study is an empirical method based on the model of unified theory of the acceptance and use of technology to determine learners’ Behavioural Intention (BI) to accept to use such Groupware in Algerian higher education setting.

Suggested Citation

  • Atef Chorfi & Djalal Hedjazi & Sofiane Aouag & Djalleleddine Boubiche, 2022. "Problem-based collaborative learning groupware to improve computer programming skills," Behaviour and Information Technology, Taylor & Francis Journals, vol. 41(1), pages 139-158, January.
  • Handle: RePEc:taf:tbitxx:v:41:y:2022:i:1:p:139-158
    DOI: 10.1080/0144929X.2020.1795263
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2020.1795263
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2020.1795263?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Marie-E. Godefroid & Vincent Borghoff & Ralf Plattfaut & Björn Niehaves, 2024. "Teleworking antecedents: an exploration into availability bias as an impediment," Information Systems and e-Business Management, Springer, vol. 22(2), pages 247-284, June.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tbitxx:v:41:y:2022:i:1:p:139-158. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.