IDEAS home Printed from https://ideas.repec.org/a/ajp/edwast/v9y2025i6p2184-2190id8331.html
   My bibliography  Save this article

Empowering future nurses: Transforming English speaking skills with VAK-AR digital learning

Author

Listed:
  • Athia Fidian
  • Nur Hidayanto Pancoro Setyo Putro
  • Arif Rohman
  • Maryani Maryani
  • Sri Nur Hartiningsih

Abstract

Effective communication is a fundamental skill for nursing professionals, especially in clinical settings where English proficiency is crucial for patient care and interdisciplinary collaboration. This study aims to examine the effectiveness of a Visual-Auditory-Kinesthetic (VAK) learning model integrated with Augmented Reality (AR) in enhancing the English-speaking skills of nursing students. Employing a pre-experimental design with a one-group pre-test and post-test, the research involved undergraduate nursing students from Universitas Muhammadiyah Magelang (Unimma) and Stikes Surya Global enrolled in an English for Specific Purposes (ESP) course. The material focused on two core topics: "Giving Admission" and "Symptoms and Physical Problems." Data were analyzed using a paired t-test to determine significant differences before and after the intervention. The findings indicate a substantial improvement in students' speaking proficiency, with average scores increasing from 58.1% (pre-test) to 89.6% (post-test), achieving a gain score of 76.14%, categorized as high. The study concludes that the VAK-AR learning model is effective in improving English-speaking skills within nursing contexts. Practically, this model offers an engaging, immersive digital learning experience that supports students’ linguistic development in healthcare settings. The results provide valuable insights into integrating educational technology with language instruction for nursing education.

Suggested Citation

  • Athia Fidian & Nur Hidayanto Pancoro Setyo Putro & Arif Rohman & Maryani Maryani & Sri Nur Hartiningsih, 2025. "Empowering future nurses: Transforming English speaking skills with VAK-AR digital learning," Edelweiss Applied Science and Technology, Learning Gate, vol. 9(6), pages 2184-2190.
    • Handle: RePEc:ajp:edwast:v:9:y:2025:i:6:p:2184-2190:id:8331
    as

    Download full text from publisher

    File URL: https://learning-gate.com/index.php/2576-8484/article/view/8331/2803
    Download Restriction: no
    ---><---

    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:ajp:edwast:v:9:y:2025:i:6:p:2184-2190:id:8331. 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: Melissa Fernandes (email available below). General contact details of provider: https://learning-gate.com/index.php/2576-8484/ .

    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.