Assessment of Learning Style Preferences of Saudi Nursing Students

Abstract: Objective In line with global trends, growing number of educational institutions in Saudi Arabia are developing their curricula based on the feedback and suggestions from their students to help improve the quality of teaching. This study aims to assess the differences in learning style preferences among female nursing students of Saudi Arabia. Methods This cross-sectional study included 124 female nursing students who were asked to answer the culturally adapted Arabic version of visual, aural/auditory, read/write, and kinesthetic (VARK) survey. Data were analyzed with SPSS, version 23. The Wilks' lambda or multivariate analysis (MANOVA) was used to determine the relationship between the participants' learning preferences, sociodemographic characteristics, and year of study. Results Nursing students who had visual learning preferences had a significantly different learning style as compared to those who preferred aural and kinesthetic learning (p < 0.001). On the contrary, there was not enough evidence to conclude that the same was true for students who preferred to read/write. Conclusions Further research is required to explore the relationship between learning style preferences and learning outcomes with the inclusion of a larger sample size and representatives of two genders, males and females. The findings of the current research provide the foundation for adaptive learning by identifying the individual preferences in learning among the nursing students.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Assessment of Learning Style Preferences of Saudi Nursing Students ; day:30 ; month:10 ; year:2023
Ibnosina journal of medicine and biomedical sciences ; (30.10.2023)

Classification
Erziehung, Schul- und Bildungswesen

Contributor
Mariano, Maria E.M.
Woodman, Alexander
AlNaam, Yaser
Al-Jamea, Lamiaa H.
Al-Ansari, Rehab Y.
Quiambao, Jenifer V.

DOI
10.1055/s-0043-1776016
URN
urn:nbn:de:101:1-2023121411591649047979
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:23 AM CEST

Data provider

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Associated

  • Mariano, Maria E.M.
  • Woodman, Alexander
  • AlNaam, Yaser
  • Al-Jamea, Lamiaa H.
  • Al-Ansari, Rehab Y.
  • Quiambao, Jenifer V.

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