Key Determinants of Student Satisfaction in Online Learning During COVID-19: Evidence From Vietnamese Students

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Le Phuoc Thanh, Tran Ngoc Quynh Trang, Nguyen Nhat Minh, Hoang Van Hai
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引用次数: 0

Abstract

The adoption of online learning modalities has increasingly become prevalent, particularly with the advent of COVID-19, aiming to ensure student access to learning materials. This significant shift towards offering online educational formats compels educational institutions to alter their approach and develop curricula to guarantee an optimal student experience and satisfaction within the online environment. The aim of this research is to comprehensively examine the key factors that significantly impact the satisfaction of undergraduate students with online learning in Vietnamese universities. The quantitative research methodology was implemented through the collection of surveys from a total of 437 Vietnamese students. Utilizing the PLS-SEM statistical approach, the findings reveal that technology, communication, course, outcome, and motivation for learning have significant positive influences on students’ satisfaction with online education during the COVID-19 pandemic, while the effect of instructors’ attitude and the sudden change from traditional to online classes have been found with as nonsignificant. Valuable implications and practical recommendations are suggested for educational organizations and institutions in Vietnam to enhance specific activities that promote students’ satisfaction with online learning and improve teaching methods provided by instructors.

COVID-19 期间学生在线学习满意度的关键决定因素:来自越南学生的证据
采用在线学习模式已变得越来越普遍,特别是 COVID-19 的出现,其目的是确保学 生获得学习材料。提供在线教育形式的这一重大转变迫使教育机构改变方法,开发课程,以保证学生在在线环境中获得最佳体验和满意度。本研究旨在全面考察对越南大学本科生在线学习满意度产生重大影响的关键因素。本研究采用定量研究方法,收集了 437 名越南学生的调查问卷。利用 PLS-SEM 统计方法,研究结果表明,在 COVID-19 大流行期间,技术、交流、课程、结果和学习动机对学生在线教育满意度有显著的积极影响,而教师态度和从传统课堂到在线课堂的突然转变的影响不显著。研究为越南的教育组织和机构提出了宝贵的启示和实用建议,以加强具体活动,提高学生对在线学习的满意度,并改进教师的教学方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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