Relationship between Kolb’s Learning Styles and Readiness for E-learning: A Cross-sectional Study in the Covid-۱۹ Pandemic

Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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JR_MEDIA-14-2_002

تاریخ نمایه سازی: 24 تیر 1402

Abstract:

Background: Significant changes have occurred in education, including the emergence of E-learning which appeared to be an alternative method of carrying out teaching and learning activities. This research seeks to examine the correlation between Kolb’s learning styles and readiness for e-learning. Methods: This cross-sectional study was conducted in Jiroft University of Medical Sciences (southern Iran) in ۲۰۲۱. ۲۴۷ eligible medical students were selected using convenient sampling. Data were collected using the Watkins standard e-learning questionnaire and Kolb’s learning styles questionnaire. Data were analyzed by SPSS version ۲۳ using descriptive and inferential statistics (ANOVA and post hoc LSD tests) which were all used to find connections. A P-value<۰.۰۵ was considered statistically significant. Results: The participants’ mean age was ۲۱.۵ (SD: ۱.۶۹) years and average score in the e-learning readiness tests was ۱۲۷.۵۴ (SD: ۲۷.۰۵). According the findings of this study, the learning style of most students was divergent (۱۰۴ (۴۲.۱%)). One-way analysis of variance, showed that there was a statistically significant difference between the average e-learning readiness ratings for various learning styles (F=۳.۲۰, P=۰.۰۲۴). Converging style is the top favored learning style among students who are ready for online learning, according to researchers. Conclusion: According to the findings of the study, students’ learning styles were statistically relevant to their readiness for e-learning. The study may be useful for a balanced pedagogical system in both pandemic and post-pandemic situations. University planners need to pay special attention to the students’ learning styles because one of the ways to increase preparation for e-learning is to know the students’ learning style.

Authors

Sareh Mehni

Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran

Farshid Chahartangi

Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran

Mahsa Tahergorabi

Department of Environmental Health Engineering, Jiroft University of Medical Sciences, Jiroft, Iran

Neda Dastyar

Department of Midwifery, Nursing and Midwifery School, Jiroft University of Medical Sciences, Jiroft, Iran

Akbar Mehralizadeh

Department of Statistics, School of Medicine, Jiroft University of Medical Sciences, Jiroft, Iran

Azimeh Amirmijani

Jiroft University of Medical Sciences, Jiroft, Iran

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