• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

比较分析影响 MOOC 使用行为意向的变量。

Comparative analysis of variables that influence behavioral intention to use MOOCs.

机构信息

KMITL Business School, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.

Faculty of Management, Czestochowa University of Technology, Czestochowa, Poland.

出版信息

PLoS One. 2022 Apr 12;17(4):e0262037. doi: 10.1371/journal.pone.0262037. eCollection 2022.

DOI:10.1371/journal.pone.0262037
PMID:35413049
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9004787/
Abstract

The purpose of this research was to investigate the key factors that influence behavioral intention to adopt MOOCs. The study was conducted in three countries namely, Poland, Thailand, and Pakistan. The study was considered significant considering the advancements in technology that have had an unprecedented impact on education, and the need to conduct learning online due to the COVID-19 to pandemics. The research adopted the Unified Theory of Acceptance and Use of Technology (UTAUT2) and extended it by including other variables including culture, social distancing, and absorptive capacity. The study was conducted using the quantitative methodology, where the data was collected using a structured questionnaire. The data was collected from a sample from each of the three countries, and sample sizes were 455, 490, and 513 for Poland, Thailand, and Pakistan respectively. The data were analyzed using Structural Equation Modeling (SEM) and multi-group SEM analysis. The results of the study indicated that effort expectancy and culture significantly and positively influenced behavioral intention to use MOOCs in all three countries. As well, absorptive capacity is mediated significantly by performance expectancy and effort expectancy. Facilitating conditions have a significant influence on MOOCs in both Thailand and Pakistan. Social influence has a significant influence on behavioral intention to use MOOCs in Thailand, hedonic motivation and price value have a significant influence on behavioral intention to use MOOCs in Poland, and the habit has a significant factor in Pakistan. The keys aspects influencing behavioral intention to Use MOOCs were different in Poland, Thailand, and Pakistan, in various factors which are performance expectancy, social distancing, price value, facilitating conditions, and social influence. The research recommended that it is important to evaluate the situation and prevailing conditions of the concerned country, before implementing the MOOCs and the associated online learning practices.

摘要

本研究旨在探讨影响 MOOCs 采用意愿的关键因素。研究在波兰、泰国和巴基斯坦三个国家进行。考虑到技术的进步对教育产生了前所未有的影响,以及由于 COVID-19 大流行需要在线学习,本研究具有重要意义。该研究采用了统一技术接受和使用理论(UTAUT2),并通过纳入文化、社会距离和吸收能力等其他变量对其进行了扩展。研究采用定量方法,使用结构化问卷收集数据。从三个国家的每个国家抽取样本进行研究,波兰、泰国和巴基斯坦的样本量分别为 455、490 和 513。使用结构方程模型(SEM)和多组 SEM 分析对数据进行分析。研究结果表明,努力期望和文化在所有三个国家都显著正向影响 MOOCs 的使用意愿。此外,吸收能力被绩效期望和努力期望显著中介。便利条件对泰国和巴基斯坦的 MOOCs 有显著影响。社会影响对泰国的 MOOCs 使用意愿有显著影响,享乐动机和价格价值对波兰的 MOOCs 使用意愿有显著影响,而习惯在巴基斯坦是一个重要因素。影响波兰、泰国和巴基斯坦使用 MOOCs 意愿的关键因素不同,在绩效期望、社会距离、价格价值、便利条件和社会影响等不同因素上存在差异。研究建议,在实施 MOOCs 及相关在线学习实践之前,评估有关国家的情况和现有条件非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a52/9004787/4d6ddf3ba6c8/pone.0262037.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a52/9004787/35e570f2fb35/pone.0262037.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a52/9004787/11deb1fa40f0/pone.0262037.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a52/9004787/141da5d242e0/pone.0262037.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a52/9004787/4d6ddf3ba6c8/pone.0262037.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a52/9004787/35e570f2fb35/pone.0262037.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a52/9004787/11deb1fa40f0/pone.0262037.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a52/9004787/141da5d242e0/pone.0262037.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a52/9004787/4d6ddf3ba6c8/pone.0262037.g004.jpg

相似文献

1
Comparative analysis of variables that influence behavioral intention to use MOOCs.比较分析影响 MOOC 使用行为意向的变量。
PLoS One. 2022 Apr 12;17(4):e0262037. doi: 10.1371/journal.pone.0262037. eCollection 2022.
2
A Study on the Influencing Factors of Continued Intention to Use MOOCs: UTAUT Model and CCC Moderating Effect.关于MOOCs持续使用意愿的影响因素研究:UTAUT模型与CCC调节效应
Front Psychol. 2021 Aug 4;12:528259. doi: 10.3389/fpsyg.2021.528259. eCollection 2021.
3
Investigating older adults users' willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theory.通过整合技术接受模型(UTAUT2)和技术准备指数理论,研究老年用户采用可穿戴设备的意愿。
Front Public Health. 2024 Sep 25;12:1449594. doi: 10.3389/fpubh.2024.1449594. eCollection 2024.
4
Factors influencing the continuance intention of the women's health WeChat public account: an integrated model of UTAUT2 and HBM.影响女性健康微信公众号持续使用意愿的因素:UTAUT2 和 HBM 的综合模型。
Front Public Health. 2024 Jun 20;12:1348673. doi: 10.3389/fpubh.2024.1348673. eCollection 2024.
5
Mobile learning acceptance in social distancing during the COVID-19 outbreak: The mediation effect of hedonic motivation.COVID-19疫情期间社交距离下移动学习的接受度:享乐动机的中介作用。
Hum Behav Emerg Technol. 2021 Jul;3(3):366-378. doi: 10.1002/hbe2.261. Epub 2021 May 24.
6
Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants.UTAUT2模型在确定人工智能虚拟助手使用行为意向因素方面的应用与拓展
Front Psychol. 2022 Oct 18;13:993935. doi: 10.3389/fpsyg.2022.993935. eCollection 2022.
7
Factors influencing graduate students' behavioral intention to use Google Classroom: Case study-mixed methods research.影响研究生使用谷歌课堂行为意向的因素:案例研究——混合方法研究
Educ Inf Technol (Dordr). 2022;27(7):10035-10063. doi: 10.1007/s10639-022-11051-2. Epub 2022 Apr 11.
8
Healthcare providers' acceptance of telemedicine and preference of modalities during COVID-19 pandemics in a low-resource setting: An extended UTAUT model.在资源匮乏环境下,医疗保健提供者对远程医疗的接受程度和对模式的偏好:UTAUT 模型的扩展。
PLoS One. 2021 Apr 22;16(4):e0250220. doi: 10.1371/journal.pone.0250220. eCollection 2021.
9
Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers.基于国家文化差异的医疗可穿戴技术接受度:中瑞消费者的跨国分析。
J Med Internet Res. 2020 Oct 22;22(10):e18801. doi: 10.2196/18801.
10
Factors affecting the intention to use COVID-19 contact tracing application "StaySafe PH": Integrating protection motivation theory, UTAUT2, and system usability theory.影响使用新冠病毒接触者追踪应用程序“菲律宾安心居家”意愿的因素:整合保护动机理论、UTAUT2模型和系统可用性理论
PLoS One. 2024 Aug 1;19(8):e0306701. doi: 10.1371/journal.pone.0306701. eCollection 2024.

引用本文的文献

1
Developing the teledentistry acceptance survey for dentists - TAS-D: a Delphi study.开发牙医远程口腔医疗接受度调查问卷 - TAS-D:一项德尔菲研究。
BMC Oral Health. 2024 Aug 22;24(1):977. doi: 10.1186/s12903-024-04760-2.
2
Data-driven analytics for student reviews in China's higher vocational education MOOCs: A quality improvement perspective.基于数据驱动的中国高等职业教育 MOOC 学生评价分析:质量提升视角。
PLoS One. 2024 Mar 13;19(3):e0298675. doi: 10.1371/journal.pone.0298675. eCollection 2024.
3
Integrated TTF and self-determination theories in higher education: The role of actual use of the massive open online courses.

本文引用的文献

1
MOOCS and 100 Days of COVID: Enrollment surges in massive open online astronomy classes during the coronavirus pandemic.慕课与“新冠百日”:冠状病毒大流行期间大规模在线天文学课程的注册人数激增。
Soc Sci Humanit Open. 2021;4(1):100177. doi: 10.1016/j.ssaho.2021.100177. Epub 2021 Jun 19.
2
Industry 4.0 implementation and Triple Bottom Line sustainability: An empirical study on small and medium manufacturing firms.工业4.0的实施与三重底线可持续性:对中小型制造企业的实证研究。
Heliyon. 2021 Aug 11;7(8):e07753. doi: 10.1016/j.heliyon.2021.e07753. eCollection 2021 Aug.
3
Modeling the mediating roles of self-directed learning and knowledge management processes between emotional intelligence and learning outcomes in higher education.
高等教育中的整合式技术接受与使用理论和自我决定理论:大规模开放在线课程实际使用情况的作用。
Front Psychol. 2023 Feb 2;14:1108325. doi: 10.3389/fpsyg.2023.1108325. eCollection 2023.
在高等教育中,构建自我导向学习和知识管理过程在情商和学习成果之间的中介作用模型。
PLoS One. 2021 Jul 27;16(7):e0255177. doi: 10.1371/journal.pone.0255177. eCollection 2021.
4
Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach.菲律宾新冠疫情期间影响医学教育电子学习平台接受度的决定因素:基于UTAUT2模型的方法
Healthcare (Basel). 2021 Jun 22;9(7):780. doi: 10.3390/healthcare9070780.
5
Spontaneous social distancing in response to a simulated epidemic: a virtual experiment.针对模拟疫情的自发社交距离保持:一项虚拟实验。
BMC Public Health. 2015 Sep 28;15:973. doi: 10.1186/s12889-015-2336-7.
6
Protection motivation theory and social distancing behaviour in response to a simulated infectious disease epidemic.应对模拟传染病疫情的保护动机理论与社交距离行为
Psychol Health Med. 2015;20(7):832-7. doi: 10.1080/13548506.2015.1028946. Epub 2015 Apr 2.