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首页> 外文会议>International Conference on Signal Processing, Communication, Power and Embedded System >Exploratory Centered PCA for Dimensionality Reduction On Security Modelling Of TAM: An E-Learning Perspective
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Exploratory Centered PCA for Dimensionality Reduction On Security Modelling Of TAM: An E-Learning Perspective

机译：探索中心的PCA用于TAM安全建模的维度减少：电子学习视角

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Software organizations and educational institutions rely heavily upon e-learning technologies nowadays. There is a requirement to know how numerous interventions can influence the recognized determinants of IT design, acceptance and usage. The statistical meta-analysis of several prototypes, particularly the technology acceptance model (TAM) studies have shown that it is a valid and robust model that has been very widely used, but which hypothetically has broader applicability. Though TAM has been considered to be one of the most widely used models in Information Systems and Technology, however, it is imperfect. There have been numerous researches in TAM involving students, professionals and general users. There are no studies till date that have considered into the trait of trust, perceived security, perceived privacy and information quality in e-learning technologies. To address this gap in the literature, the research work tries to draw from the existing research, particularly the work on the determinants of perceived usefulness and perceived ease of use, and to develop a more robust model. The research work aims in calculating the validity of the data using Cronbach's alpha on the data set. Dimensionality reduction of the data is attempted by using Principal Component Analysis (PCA). This method of Dimensionality reduction offers a robust way of factor identification by constructing Rotated Component matrices, and by thus proposing an efficient user-centric design model for software establishments and educational institutions in evolving e-learning solutions. The results of the proposed research would append up literature to the design and implementation phases of software engineering concepts.
机译：软件组织和教育机构现在依赖于电子学习技术。有要求知道众多干预措施如何影响其设计，接受和使用的公认的决定因素。几种原型的统计元分析，特别是技术验收模型（TAM）研究表明，它是一种非常广泛使用的有效和强大的模型，但其假设具有更广泛的适用性。虽然TAM已被认为是信息系统和技术中最广泛使用的模型之一，但是，它不完美。涉及学生，专业人士和一般用户的TAM有许多研究。在电子学习技术中，没有考虑到迄今为止审议信任，感知安全性，感知隐私和信息质量的迄今为止的研究。为了解决文献中的这种差距，研究工作试图从现有的研究中抽取，特别是对感知有用性和感知易用性的决定因素的工作，以及开发更强大的模型。研究工作旨在使用Cronbach的Alpha在数据集上计算数据的有效性。通过使用主成分分析（PCA）来尝试数据的维数减少。这种维数减少方法通过构建旋转分量矩阵来提供一种稳健的因子识别方式，并通过在不断发展的电子学习解决方案中提出用于软件建立和教育机构的高效用户为中心的设计模型。拟议研究的结果将向软件工程概念的设计和实施阶段展开文献。

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