IDEAS home Printed from https://ideas.repec.org/a/igg/jsita0/v8y2017i2p1-10.html
   My bibliography  Save this article

An Empirical Analysis of Mobile Learning Acceptance in Puerto Rico's Higher Learning Institutions

Author

Listed:
  • Irvin Renzell Heard

    (School of Computer and Information Sciences, University of the Cumberlands, Williamsburg, USA)

Abstract

This empirical research article employs a quantitative research methodology based on existing research on the Technology Acceptance Model (TAM) to model how college students in Puerto Rico perceive, accept and reject mobile learning technologies before university implementation. This study identifies the factors, perceptions, and attitudes of mobile learning acceptance at the individual level. The TAM themes included in this study are: attitude (A), behavioral intentions (BI), ease of access (EoA), ease of use (EoU), external influence (EI), quality of service (QoS), student readiness (SR), university support (US) and usefulness (U). The article's objective is to examine the determinants and behavioral intentions to use M-learning in higher learning institutions in Puerto Rico. By understanding the determinants, universities, and organizations that deliver educational content can develop intervention programs aimed at increasing user acceptance of M-learning.

Suggested Citation

  • Irvin Renzell Heard, 2017. "An Empirical Analysis of Mobile Learning Acceptance in Puerto Rico's Higher Learning Institutions," International Journal of Strategic Information Technology and Applications (IJSITA), IGI Global, vol. 8(2), pages 1-10, April.
  • Handle: RePEc:igg:jsita0:v:8:y:2017:i:2:p:1-10
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSITA.2017040101
    Download Restriction: no
    ---><---

    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:igg:jsita0:v:8:y:2017:i:2:p:1-10. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.