IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-319-74817-7_1.html
   My bibliography  Save this book chapter

Analysing the Relationships Between Digital Literacy and Self-Regulated Learning of Undergraduates—A Preliminary Investigation

In: Advances in Information Systems Development

Author

Listed:
  • Udayangi Perera Muthupoltotage

    (University of Auckland)

  • Lesley Gardner

    (University of Auckland)

Abstract

Advances in technology access allow undergraduates to personalize their learning to their individual interests via the creation and use of informal personal learning environments (PLEs). A comprehensive understanding of how every day digital technologies are adapted and used to create such PLEs and their impact on acquisition and development of students’ digital literacy (DL) and self-regulated learning (SRL) skills, is still lacking. This paper presents the initial exploratory quantitative phase, of a longitudinal mixed methods study planned to identify and describe the relationship between DL and SRL skills of students, when using PLEs. Structural equation modelling was used to analyze data collected from 202 participants in online surveys. The results confirm that DL components effect some SRL sub-processes and some evidence was obtained for reciprocal relationships. Implications for Information Systems theory and practice are discussed together with future research opportunities.

Suggested Citation

  • Udayangi Perera Muthupoltotage & Lesley Gardner, 2018. "Analysing the Relationships Between Digital Literacy and Self-Regulated Learning of Undergraduates—A Preliminary Investigation," Lecture Notes in Information Systems and Organization, in: Nearchos Paspallis & Marios Raspopoulos & Chris Barry & Michael Lang & Henry Linger & Christoph Schn (ed.), Advances in Information Systems Development, pages 1-16, Springer.
  • Handle: RePEc:spr:lnichp:978-3-319-74817-7_1
    DOI: 10.1007/978-3-319-74817-7_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Shafiqul Islam & Khondker Mohammad Zobair & Cordia Chu & James C. R. Smart & Md Samsul Alam, 2021. "Do Political Economy Factors Influence Funding Allocations for Disaster Risk Reduction?," JRFM, MDPI, vol. 14(2), pages 1-20, February.

    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:spr:lnichp:978-3-319-74817-7_1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.