BMC Medical Education (Jan 2024)

Factors affecting medical students’ satisfaction with online learning: a regression analysis of a survey

  • Özlem Serpil Çakmakkaya,
  • Elif Güzel Meydanlı,
  • Ali Metin Kafadar,
  • Mehmet Selman Demirci,
  • Öner Süzer,
  • Muhlis Cem Ar,
  • Muhittin Onur Yaman,
  • Kaan Can Demirbaş,
  • Mustafa Sait Gönen

DOI
https://doi.org/10.1186/s12909-023-04995-7
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 10

Abstract

Read online

Abstract Background Medical education requires the implementation of different teaching methods and strategies for future doctors to achieve broad learning objectives. This wide range of methods and strategies includes the use of Information Technologies. For a long time, there was a call for a change in medical education for blending new teaching approaches to lessen medical students’ class time. The COVID-19 pandemic then sped up the transition to the new way of medical education and classroom lectures were quickly moved to a virtual environment. We expect that these changes will continue, and online learning will be one of the main teaching strategies in medical education. Therefore, educational experiences during the COVID-19 pandemic will improve our understanding of online learning and will help to develop blended medical school curricula in the future. For this reason, we aimed to determine students’ overall satisfaction with their online learning experience and to define the main factors affecting students’ satisfaction with their online learning program at Cerrahpaşa Medical Faculty. Methods A cross-sectional survey study was conducted to determine medical students’ overall satisfaction with online learning methods and to identify factors associated with positive and negative satisfaction levels. A questionnaire, consisting of 24 questions to collect demographic characteristics, factors associated with online education experience and overall satisfaction levels was developed and distributed to 1600 medical students. Multivariable linear regression analysis was used to determine the factors associated with positive and negative satisfaction levels. Results Regression analysis showed that being familiar with online teaching techniques (β = 0.19, 95% CI [0.07, 0.30], faculty members’ higher online teaching skill levels (β = 0.42, 95% CI [0.32, 0.51], interactive online teaching approaches (β = 0.54, 95% CI [0.41, 0.67], having a personal workspace (β = 0.43, 95% CI [0.19, 0.67], and a self-reported longer attention span (β = 0.75, 95% CI [0.57, 0.92] were associated with higher overall satisfaction with online learning. The occurrence of technical problems (β = -0.19, 95% CI [-0.26, -0.12] was associated with lower overall satisfaction. Conclusions Higher online teaching skills of faculty members, use of interactive approaches, students’ familiarity with online teaching techniques, provision of a personal workspace, and self-reported longer attention spans positively contributed to higher levels of student satisfaction with online learning. Considering the increasing significance of online educational methods, our study identified key components that affect students’ level of satisfaction. This information might contribute to the development of online educational programs in the future.

Keywords