IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/y2020id62311.html

Using Learning Theories for the Creation of a Distance Digital Course in Mathematics for Higher Education

Author

Listed:
  • Ioannis Velentzas
  • Spyridon Doukakis

    (Ionian University, Greece)

Abstract

This article presents the results of research on the effectiveness of distance education in Mathematics for higher education students. A digital course in Differential Calculus was created, which was evaluated by the students who participated in it. The aim of the quantitative research carried out was to identify the conditions needed for the implementation of a digital distance education model. The design includes the integration of activities based on learning theories at targeted points of the distance learning. From the results, it appears that the students achieved the learning outcomes that were identified. Moreover, the integration of the relevant activities had a positive impact on the students, who a) positively evaluated the program they attended and b) stated that their knowledge was enhanced at the issues negotiated on the course.

Suggested Citation

  • Ioannis Velentzas & Spyridon Doukakis, 2020. "Using Learning Theories for the Creation of a Distance Digital Course in Mathematics for Higher Education," European Journal of Engineering and Technology Research, European Open Science, December.
    • Handle: RePEc:epw:ejeng0:y:2020:id:62311
    DOI: 10.24018/ejeng.2020.0.CIE.2311
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/62311
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/62311/12573
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2020.0.CIE.2311?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:epw:ejeng0:y:2020:id:62311. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.