One of the major problems of using massive online open courses (MOOCs) commonly reported in the literature is the high dropout rate of students. Active participation in creating, sharing and managing content, simultaneous work on the same artefact, synchronous and asynchronous interaction and variety of functionalities that stimulate productivity in performing assignments are some of the benefits of employing social Web applications in MOOCs that have the potential to boost students’ motivation, thus addressing the aforementioned issue. Successful implementation of social Web applications in MOOCs is largely influenced by their acceptance by students. The aim of this paper is to examine the psychometric characteristics of the research framework which reflects the interplay of adoption determinants with respect to two representatives of social Web applications meant for collaborative work. An empirical study was conducted in which students of one Croatian higher education institution served as representative sample of users. Data were collected by means of the post-use questionnaire. The validity and reliability of the proposed research framework and associated hypotheses were examined by means of the partial least squares (PLS) structural equation modelling (SEM) technique. Implications for both researchers and practitioners are presented and discussed.

中文翻译：

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对大规模在线公开课程中使用的社交Web应用程序的采用决定因素之间的相互作用进行建模

使用文献中普遍报道的大规模在线公开课程（MOOC）的主要问题之一是学生的高辍学率。积极参与创建，共享和管理内容，在同一工件上同时进行工作，同步和异步交互以及各种功能，这些功能可以激发执行作业的生产力，这是在MOOC中使用社交网络应用程序的一些好处，这些潜力有可能促进学生的发展动机，从而解决了上述问题。MOOC中社交Web应用程序的成功实施很大程度上受到学生对它们的接受程度的影响。本文的目的是研究研究框架的心理计量学特征，该特征反映了采用决定因素相对于旨在进行协作工作的社交Web应用程序的两个代表的相互作用。进行了一项实证研究，其中一家克罗地亚高等教育机构的学生作为用户的代表样本。通过使用后调查表收集数据。拟议的研究框架和相关假设的有效性和可靠性通过偏最小二乘（PLS）结构方程模型（SEM）技术进行了检验。提出并讨论了对研究人员和从业人员的影响。进行了一项实证研究，其中一家克罗地亚高等教育机构的学生作为用户的代表样本。通过使用后调查表收集数据。拟议的研究框架和相关假设的有效性和可靠性通过偏最小二乘（PLS）结构方程模型（SEM）技术进行了检验。提出并讨论了对研究人员和从业人员的影响。进行了一项实证研究，其中一家克罗地亚高等教育机构的学生作为用户的代表样本。通过使用后调查表收集数据。拟议的研究框架和相关假设的有效性和可靠性通过偏最小二乘（PLS）结构方程模型（SEM）技术进行了检验。提出并讨论了对研究人员和从业人员的影响。