Shah Sayed Kifayat, Tang Zhongjun, Sharif Sayed Muhammad Fawad, Tanveer Arifa
Present Address: College of Economics and Management, Beijing University of Technology, Beijing, China.
Present Address: School of Management, Northwestern Polytechnical University, Xi'an, China.
Smart Learn Environ. 2021;8(1):25. doi: 10.1186/s40561-021-00172-9. Epub 2021 Oct 29.
The social distancing due to the Covid-19 epidemic has disturbed all sectors of society, including education. To maintain normal operations, it is necessary to adapt quickly to this situation. Many technologies and platforms have rushed to offer their support to users. This article adopts a critical perspective to reflect on the factors that may cause the hasty adoption of 5G smart learning technology. To investigate students' intentions toward smart learning, this article provides a theoretical framework premised on the technology acceptance model (TAM) by adding components from the social practise theory (SPT). Based on data analysis through Structural equation Modeling (SEM) of a survey (n = 375) conducted in China, we found that the choice of 5G smart-learning technology depends on the combined effect of Material (MAA), Meanings (MEA), and Competency access (COA) factors. The results illustrate that these are the effective factors for student's intentions to adopt 5G smart-learning technology. These outcomes are intended to aid service providers and decision-makers in developing effective ways to increase smart learning use. These findings can also enable us to identify challenges affecting smart learning adoption and to contribute to the design and proper supply of smart learning programs in other countries.
由于新冠疫情实施的社交距离措施扰乱了包括教育在内的社会各个领域。为维持正常运转，迅速适应这种情况很有必要。许多技术和平台纷纷向用户提供支持。本文从批判性视角反思了可能导致仓促采用5G智能学习技术的因素。为调查学生对智能学习的意向，本文通过在技术接受模型（TAM）基础上加入社会实践理论（SPT）的组成部分，提供了一个理论框架。基于对在中国进行的一项调查（n = 375）的数据通过结构方程模型（SEM）进行分析，我们发现5G智能学习技术的选择取决于物质（MAA）、意义（MEA）和能力获取（COA）因素的综合作用。结果表明，这些是影响学生采用5G智能学习技术意向的有效因素。这些结果旨在帮助服务提供商和决策者制定有效的方法来增加智能学习的使用。这些发现还能使我们识别影响智能学习采用的挑战，并为其他国家智能学习项目的设计和合理供应做出贡献。
