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arXiv 1503.02408cs.CY
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预测虚拟学习环境的采用-案例研究

Predicting Virtual Learning Environment adoption - A case study

Sonam Penjor, Par-Ola Zander

摘要:

目的-限定罗杰斯的创新扩散理论在虚拟学习环境中的意义。将现有的创新传播工具应用于一个案例组织,不丹皇家大学,以便将其结果与以前的调查结果进行比较。采用描述性统计和逻辑回归分析,分析采用者组成员和预测的意义,在虚拟学习环境的采用和使用。结果-创新理论的扩散是不稳定的,跨组织,当涉及到预测不同的用户类别或用户的分布。然而,在特定组织内的虚拟学习环境中取得可靠的结果是可能的。研究限制ND的影响-该研究的问题学术尝试建立跨组织的这种类型的模型。实际影响-专业人士应该意识到,跨组织的概括,从虚拟学习环境的领域内的创新研究结果的扩散可能是非常不可靠的。独创性和价值-这项研究挑战了大量引用的创新文献的扩散。它提供了不丹的数据,不丹在经验调查中代表性不足。

英文摘要:

Purpose - To qualify the significance of Rogers' Diffusion of Innovations theory with regard to Virtual Learning Environments. To apply an existing Diffusion of Innovations instrument on a case organisation, the Royal University of Bhutan (RUB), in order to compare its results with previous findings. Descriptive statistics and logistic regression analysis were deployed to analyze adopter group memberships and predictor significance in Virtual Learning Environment adoption and use. Findings - The Diffusion of Innovations theory is not stable across organizations when it comes to predicting different user categories or the distribution of users. However, it was possible to achieve reliable results for virtual learning environments within a particular organization. Research limitations ND implications - The study questions scholarly attempts to establish models of this type across organizations. Practical implications - Professionals should be aware that cross-organizational generalizations from Diffusion Of Innovation findings within the domain of virtual learning environments may be very unreliable. Originality and value - The study challenges the massively cited Diffusion of Innovation literature. It provides data from Bhutan, which is underrepresented in empirical investigations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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