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

Athia Fidian (), Nur Hidayanto Pancoro Setyo Putro (), Arif Rohman (), Maryani Maryani () and Sri Nur Hartiningsih ()

Edelweiss Applied Science and Technology, 2025, vol. 9, issue 6, 2184-2190

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.

Keywords: Augmented reality; English for nursing; ESP; Digital learning; Speaking skills; VAK learning model. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/8331/2803 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:9:y:2025:i:6:p:2184-2190:id:8331

Access Statistics for this article

More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().