An empirical study on application of 5G smart system in education

All facets of society, such as education, have been disrupted by the social estrangement brought on by the Covid-19 epidemic. We must respond rapidly to this circumstance in order to sustain routine activities. Several organizations and systems have hurried to provide assistance for users. In order to consider the elements that can contribute to the premature implementation of 5G smart learning technologies, this paper employs a critical viewpoint. This study offers a conceptual approach built on the technology acceptance models (TAM) that incorporates elements from the social practice hypothesis to analyse students' attitudes concerning smart learning (SPT). We discovered that the decision of 5G smart technologies relies on the integrated consequences of Material (MAA), Meanings (MEA), and Competency access (COA) elements by SEM of research (n=300) undertaken in China. The findings show that these are the important variables influencing students' inclinations to use 5G smart education technologies. These findings are meant to help decision-makers and service distributors devise practical strategies for boosting the usage of smart learning. These results can help us create and properly offer smart learning programmes in other nations, as well as highlight obstacles to smart learning uptake.