Examining the Role of System Acceptance and Community Feeling in Predicting Nursing Students' Online Learning Satisfaction.

IF 1.3 4区 医学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Nesrin Çunkuş Köktaş, Gülseren Keskin, Gülay Taşdemir
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Abstract

Online learning has transitioned from being optional to a mandatory experience in nursing education. Consequently, it is crucial to understand nursing students' satisfaction and the factors influencing it to create and implement a successful online learning environment. This study aimed to examine the roles of system acceptance and community feeling in predicting nursing students' online learning satisfaction. The sample of the relational and cross-sectional study consisted of 451 nursing students studying online in the two universities in Western Turkey. Data were collected using the Personal Information Form, Online Learning Systems Acceptance, Community Feeling Scale, and Satisfaction Scale. A positive correlation was found between the perceived ease and benefit variables and satisfaction levels of nursing students in the study within the scope of online learning systems acceptance. A positive correlation was found between the actional and affective components of community feeling and satisfaction levels of nursing students in the study. Besides, the affective component was found to be the most significant factor in explaining satisfaction with online learning. The learning environment can be improved by increasing the diversity and interaction of nursing students with methods or instruments such as online collaborative learning approaches and online community building.

系统接受度和社区感受在预测护理学生在线学习满意度中的作用。
在护理教育中,在线学习已经从可选体验转变为强制性体验。因此,了解护理学生的满意度及其影响因素对于创建和实施一个成功的在线学习环境至关重要。本研究旨在探讨系统接受度和社区感受对护生在线学习满意度的预测作用。相关性和横断面研究的样本包括在土耳其西部两所大学在线学习的451名护理专业学生。使用个人信息表、在线学习系统接受度、社区感受量表和满意度量表收集数据。在在线学习系统接受范围内,研究发现护理学生的感知轻松和利益变量与满意度水平呈正相关。研究发现护生社区感受的行为成分和情感成分与满意度呈显著正相关。此外,情感成分是解释在线学习满意度的最重要因素。通过在线协作学习方法和在线社区建设等方法或工具,增加护理学生的多样性和互动,可以改善学习环境。
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
Cin-Computers Informatics Nursing
Cin-Computers Informatics Nursing 工程技术-护理
CiteScore
2.00
自引率
15.40%
发文量
248
审稿时长
6-12 weeks
期刊介绍: For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.
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