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Factors Influencing Adoption of Ubiquitous Internet amongst Students

机译:影响学生普及互联网的因素

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摘要

Weiser's (1991) conceptualisation of a world where in human's interaction with computer technology would no longer be limited to conventional input and output devices, has now been translated into a reality with human's constant interaction with multiple interconnected computers and sensors embedded in rooms, furniture, clothes, tools, and other items that surround them. Moreover, young people's inclinations towards wireless and mobile technologies has lead researchers to propose that the use of mobile/internet learning helps in reducing both time and location constraints within the educational environment. Thus, the present study attempts to explore the critical factors that help students in adopting ubiquitous internet (u-internet) in India. A questionnaire in English was developed and data were collected from 134 students in different majors at a large Indian central university using convenience sampling technique. In order to test the reliability of the developed instrument and extract factors related to it, statistical techniques such as Cronbach's Alpha reliability test, exploratory factor analysis, symmetric measures and correlation analysis were carried out. Preliminary analysis indicates that in terms of internal consistency/reliability, the developed scale in India performed satisfactorily. The EFA findings shows that 12-item scale can be categorized into 4 different factors. Thus, the four factors were named as "efficiency"; "information"; "performance" & "techno". Standard loadings on each item was more than 0.550. Further, high and strong level of correlation was observed between the derived factors.
机译:Weiser(1991)构想了一个世界,在这个世界中,人类与计算机技术的交互不再局限于传统的输入和输出设备,而现在,随着人类与嵌入在房间,家具,衣服,工具和其他围绕它们的物品。此外,年轻人对无线和移动技术的偏好促使研究人员提出,使用移动/互联网学习有助于减少教育环境中的时间和位置限制。因此,本研究试图探索关键因素,以帮助学生在印度采用无处不在的互联网(u-internet)。开发了英语问卷,并使用便利抽样技术从一所大型印度中央大学的134名不同专业的学生那里收集了数据。为了测试所开发仪器的可靠性并提取与其相关的因素,进行了Cronbach's Alpha可靠性测试,探索性因素分析,对称度量和相关性分析等统计技术。初步分析表明,就内部一致性/可靠性而言,印度的发展规模令人满意。全民教育调查结果表明,12个项目的规模可以分为4个不同的因素。因此,这四个因素被称为“效率”。 “信息”; “性能”和“技术”。每个项目的标准装载量大于0.550。此外,在派生因子之间观察到了很高且很强的相关性。

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