Relationship between Learning Approaches and Students’ Preferences for Online Learning

Author:

Nahla Hassan ,Samar ElAlfy ,ElAraby Shimaa

Abstract

Objectives: The objective of this study is to enhance the quality of medical education by exploring the learning approaches of students and their relationship with the student’s preference for online learning in a Problem-Based Learning (PBL) Program. Subjects and Methods: The study was a descriptive, cross-sectional one; the target population included a random sample of students in the 1st, 2nd and 3rd years (n = 300). The study was conducted at the Faculty of Medicine, Suez Canal University in Ismailia, Egypt during the academic year 2021-2022. The instrument used for data collection is named “a Two-Factor Study Process Questionnaire (R-SPQ-2F)” (Arabic Version). Results: In this study, the students mostly adopt deep learning strategies (72.3%) compared to superficial learning strategies (27.7%). The current study shows that females mostly adopt deep learning strategies (75.8%) compared to males who adopted deep learning strategies (68.7%). The results of the correlation test in the current study show that learning approaches significantly correlated with gender and skills, also only computer skills and year were significantly correlated with the preferences of the students of distance learning. We conducted a correlation analysis with the subscales of the questionnaire with the preference of the students of distance learning. The only significant one is the first item of the questionnaire. Conclusion: In conclusion, the results of this research show that students in a PBL school adopt a deep learning approach. Older students with good computer skills prefer online learning to face-to-face learning more than younger ones do. In addition, students prefer online learning to increase their satisfaction in their time of studying, and there is a significant relationship between their computer skills and the learning approach.

Publisher

Informatics Publishing Limited

Subject

Public Health, Environmental and Occupational Health,Pollution,Ecology

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