IDEAS home Printed from https://ideas.repec.org/a/taf/accted/v32y2023i2p222-247.html
   My bibliography  Save this article

The impact of using a mobile app on learning success in accounting education

Author

Listed:
  • Johannes Voshaar
  • Martin Knipp
  • Thomas Loy
  • Jochen Zimmermann
  • Florian Johannsen

Abstract

We examine the impact of a gamified mobile learning application on students’ exam success in a mandatory introductory accounting course. The app was developed with the particular needs of first-year students in mind. It provides elements like quizzes as well as organizational and communicative elements helping students structure their daily life at university. The results indicate that serious app users achieve a significantly higher score in the final exam than non-serious users. We apply three approaches, including OLS and 2SLS regression, and an identification strategy based on students who re-take the course to show the app's positive effect. Especially the 2SLS approach, which addresses the issue of self-selection, may add valuable insights into the use of mobile technology in accounting education. This study not only contributes to the ongoing research on the effects of mobile technology in higher education but also sheds light on the determinants of student success.

Suggested Citation

  • Johannes Voshaar & Martin Knipp & Thomas Loy & Jochen Zimmermann & Florian Johannsen, 2023. "The impact of using a mobile app on learning success in accounting education," Accounting Education, Taylor & Francis Journals, vol. 32(2), pages 222-247, March.
    • Handle: RePEc:taf:accted:v:32:y:2023:i:2:p:222-247
    DOI: 10.1080/09639284.2022.2041057
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09639284.2022.2041057
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09639284.2022.2041057?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. Janik Ole Wecks & Johannes Voshaar & Benedikt Jost Plate & Jochen Zimmermann, 2024. "Generative AI Usage and Exam Performance," Papers 2404.19699, arXiv.org, revised Nov 2024.
    2. Churyk, Natalie Tatiana & Eaton, Tim V. & Matuszewski, Linda J., 2024. "Accounting education literature review (2023)," Journal of Accounting Education, Elsevier, vol. 67(C).

    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:accted:v:32:y:2023:i:2:p:222-247. 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/RAED20 .

    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.