An Empirical Study of Chinese Students' Behavioral Intentions to Adopt 5G for Smart-Learning in COVID-19

Autor/inn/en	Shah, Sayed Kifayat; Tang, Zhongjun; Sharif, Sayed Muhammad Fawad; Tanveer, Arifa
Titel	An Empirical Study of Chinese Students' Behavioral Intentions to Adopt 5G for Smart-Learning in COVID-19
Quelle	In: Smart Learning Environments, 8 (2021), Artikel 25 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Shah, Sayed Kifayat)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2196-7091
DOI	10.1186/s40561-021-00172-9
Schlagwörter	Student Behavior; Intention; Adoption (Ideas); Technology Integration; Electronic Learning; Networks; Telecommunications; COVID-19; Pandemics; Foreign Countries; China + Suchen Sie Ihr Suchwort? Student behaviour; Schülerverhalten; Ideas; Ideenfindung; Telekommunikationstechnik; Ausland
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01