Students' adoption of e-learning in emergency situation: the case of a Vietnamese university during COVID-19

Students' adoption of e-learning in emergency situation: the case of a Vietnamese university during COVID-19
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学生在紧急情况下采用电子学习:COVID-19 期间越南一所大学的案例

DOI:
10.1108/itse-08-2020-0164
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发表时间:
2020
期刊:
Interact. Technol. Smart Educ.
影响因子:
--
通讯作者:
hung dinh
hung dinh
中科院分区:
--
文献类型:
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作者:
N. Ho;S. Sivapalan;Hiep;L. Nguyen;Anh Thi Van Pham;hung dinh

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目的 通过使用技术接受模型(TAM)对从越南教育机构的两所成员学校收集的调查结果进行分析,本研究旨在揭示在新冠肺炎期间影响学生接受电子学习的关键因素。 设计/方法/方式 提供了英语和越南语双语问卷。在最后定稿之前,对30名参与者进行了预先测试。作者首先回顾了测量模型,并对理论TAM模型进行了调整。调整后的TAM被用来研究模型中的结构之间的关系。 结果 结构模型的结果表明,计算机自我效能感(CSE)对感知易用性(PEOPLE)有积极的影响。系统交互性(SI)和PEGRAM之间也存在正相关关系。令人惊讶的是,作者记录了PEG4对学生的态度(ATT)没有显着影响。结果表明,SI对ATT有一定的影响。最后指出,社会因素(SF)直接影响学生的态度(ATT)。 研究/局限性/影响 这项研究有三个局限性。首先,由于本研究仅关注本科课程,因此读者在将本研究的发现和/或影响应用于其他教育水平(如K-12,职业培训和研究生课程)时应谨慎。其次,调查结果是在一种类型的电子学习的背景下产生的,通过谷歌会议进行。因此,未来的研究需要提供进一步的验证和比较其他形式的电子学习。最后,为了进一步防止常见的偏见问题,未来的研究应该使用五点和七点李克特量表的回答选项在调查中,以及使用负面的措辞项目。这将有助于防止答复者对所有问题提供类似的答案。 独创性/价值 本研究具有一定的理论和实践意义。从理论上讲,本研究可以为同类研究提供一个坚实的框架。从实践的角度来看,这项研究为政府和大学在采用电子学习的过程中提供了启示,因为2019冠状病毒病大流行目前正处于第二波,也是更危险的浪潮。
Purpose By using a technology acceptance model (TAM) on survey results collected from two member schools of a Vietnamese educational institution, this study aims to uncover the key factors that affect students’ acceptance of e-learning during the Covid-19 period. Design/methodology/approach A bilingual questionnaire in English and Vietnamese was delivered. It was pre-tested on 30 participants before it was finalized. The authors first reviewed the measurement model and made adjustments to the theoretical TAM model. Then the adjusted TAM was used to investigate the relationships of the constructs in the model. Findings The results of the structural model show that computer self-efficacy (CSE) has a positive impact on perceived ease of use (PEOU). There is also a positive relationship between system interactivity (SI) and PEOU. Surprisingly, the authors documented that PEOU has no significant impact on students’ attitudes (ATT). The results show that SI can moderately affect ATT. Finally, it is noted that the social factor (SF) directly affects the student’s attitudes (ATT). Research/limitations/implications This study contains three limitations. First, as this study only focuses on undergraduate programs, readers should be careful in applying the findings and/or implications of this study to other education levels such as K-12, vocational training and postgraduate programs. Second, the findings are generated within the context of one type of e-learning, conducted via Google Meet. Therefore, future research is needed to provide further validation and comparison across other forms of e-learning. Finally, to further prevent the common bias problem, future research should use both five-point and seven-point Likert scales for the response options in the survey, as well as use negatively worded items. This will help prevent respondents from providing similar answers to all questions. Originality/value This study has both theoretical and practical implications. From a theoretical perspective, the study can provide a solid framework for similar studies. From a practical perspective, this study offers implications for governments and universities in the process of adopting e-learning, given that the Covid-19 pandemic is currently in its second and more dangerous wave.