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English learning motivation with TAM

Undergraduates’ behavioral intention to use Chinese indigenous social media platforms for English learning

Bibliographic Data

ID22110066
AuthorsCunying Fan (0000-0001-9731-6500, Qufu Normal University, corresponding author)
Year2023
Volume9
Issue2
Publication date2023-12-15
Open AccessYes
TypeARTICLE
VenueCogent Social Sciences (JOURNAL)
Journal identifiersISSN: 2331-1886 • E-ISSN: 2331-1886
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/23311886.2023.2260566
OpenAlexW4386964071
LanguageEN
Citations received6
References cited74

As the largest proportion of Chinese netizens, undergraduates’ use of social media platforms to learn English has become a focus of Chinese higher education. Based on technology acceptance model (TAM) and theory of language learning motivation, through a structural equation modeling approach, this paper explored factors that influenced the behavioral intention of Chinese undergraduates to use two typical Chinese indigenous social medial platforms (i.e. WeChat and Bilibili) to learn English. By analyzing data from 834 Chinese undergraduates who answered an online questionnaire, we found that perceived ease of use, perceived usefulness, and English learning motivation had positive effects on intention to use both platforms to learn English. Perceived enjoyment had a positive influence on the intentional use of WeChat, but not Bilibili. Additionally, perceived usefulness acted as a mediator between perceived ease of use and intentional use, as well as between perceived enjoyment and intentional use; however, it did not mediate the relationship between English learning motivation and intentional use for both platforms. This study is beneficial to English teachers, developers of social media platforms, and other related stakeholders, as it provides insight into Chinese undergraduates’ use of indigenous platforms to learn English, while incorporating motivation theory with technology acceptance model

Indigenous · Social media · Structural equation modeling · Technology Acceptance Model · Usability · World Wide Web · Computer Science · Impact of Technology on Adolescents · Knowledge Management and Sharing · Psychology · Social Psychology · Technology Adoption and User Behaviour

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Citations per year3
Citation span2024 - 2025 (2)
Highly citedNo

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