Predominant learning approaches of medical students in Saudi Arabia

Author:

AlOmar Reem SORCID,AlShamlan Nouf AORCID,AlAmer Naheel A,Albrahim Nouf I,Alshulah Zainab Z,Kalalah Zahra A,Almoaibed Danah M,Alshulah Hawra Z,AlRashid Musaad R,Althumairi Abdulaziz A,Althunyan Abdullatif K

Abstract

Purpose of the studyThis study aims at identifying the predominant learning approaches by Saudi medical students across Saudi Arabia and assess its possible associations with sociodemographic and educational characteristics.Study designA cross-sectional study design using the Approaches and Study Skills Inventory for Students questionnaire. The questionnaire gives rise to three possible learning approaches; deep, strategic and surface approaches. Bivariate analyses were performed through independent samples t-test and χ2 tests where appropriate. A multinominal regression analysis was performed to obtain risk estimates and 95% CIs.ResultsA total of 3767 students participated and were included in the analysis. The predominant learning approach was the deep approach, followed by the strategic and surface approaches (40.59%, 37.81% and 21.60%, respectively). Males and students belonging to private medical schools were more likely to adopt a strategic rather than a deep one (relative risk ratio (RRR) 1.22, 95% CI 1.06 to 1.42 and RRR 1.32, 95% CI 1.05 to 1.65, respectively). Students with an A grade point average (GPA) were less likely to adopt a surface approach, whereas those with a C GPA were more likely to adopt it (RRR=0.67, 95% CI 0.54 to 0.83 and RRR=1.29, 95% CI 1.02 to 1.61, respectively).ConclusionThe findings from this study show that medical students predominantly favour the deep learning approach. Results from this study encourage the continuous adaptation of clinical teaching in medical schools to optimise students’ learning experiences.

Publisher

BMJ

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3