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Technological acceptance of Moodle through latent variable modeling – a systematic mapping study
Interactive Learning Environments ( IF 3.7 ) Pub Date : 2020-12-17 , DOI: 10.1080/10494820.2020.1857786
Gabriel García-Murillo 1 , Pavel Novoa-Hernández 2 , Rocío Serrano Rodriǵuez 3
Affiliation  

ABSTRACT

In this study, we report on a Systematic Mapping Study (SMS) for the application of technology acceptance models to Moodle under the prism of latent variable modeling. Based on an automatic search including primary studies from journals, conferences, and book chapters during 2001 to 2019, 41 primary were selected. We aim to contribute to a better understanding of how research has been conducted in this field by identifying research trends and gaps. Moreover, we assessed the reported statistical processes and quantitatively summarized the main findings achieved so far. We found that this is a research topic with an increasing interest today, where most of the reported experiences extend the Technology Acceptance Model (TAM), focus on college students from several programs, come from Europe or Asia, and are published as articles of journals with different impact factors. Overall, studies presented important issues regarding how the statistical analysis was conducted, specially regarding pre- and post-analysis stages. Furthermore, a large number of hypotheses has been tested with a predominance of those from original models. Some research opportunities were also identified and discussed.



中文翻译:

通过潜在变量建模对 Moodle 的技术接受——一项系统的映射研究

摘要

在这项研究中,我们报告了一项系统映射研究 (SMS),用于在潜在变量建模的棱镜下将技术接受模型应用于 Moodle。基于包括 2001 年至 2019 年期刊、会议和书籍章节的主要研究在内的自动搜索,选择了 41 项主要研究。我们的目标是通过确定研究趋势和差距,帮助更好地了解该领域的研究是如何进行的。此外,我们评估了报告的统计过程并定量总结了迄今为止取得的主要发现。我们发现这是一个越来越受关注的研究课题,其中大多数报告的经验都扩展了技术接受模型 (TAM),关注来自欧洲或亚洲的几个项目的大学生,并作为文章发表在不同影响因子的期刊上。总的来说,研究提出了关于如何进行统计分析的重要问题,特别是关于分析前和分析后阶段。此外,已经对大量假设进行了测试,这些假设主要来自原始模型。还确定并讨论了一些研究机会。

更新日期:2020-12-17
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