| Autor: |
Jerry Huang, Atsushi Mizumoto |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Computers and Education: Artificial Intelligence, Vol 7, Iss , Pp 100302- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2666-920X |
| DOI: |
10.1016/j.caeai.2024.100302 |
| Popis: |
Since the introduction of the L2 Motivational Self System (L2MSS), numerous studies worldwide have highlighted its effectiveness in elucidating Second Language Acquisition. However, the influence of generative artificial intelligence (GenAI) technology on this model remains largely unexplored. The Technology Acceptance Model (TAM) is a widely employed framework for examining the impact of a new technology, and this study explores the intercorrelation when these two models are considered together. Conducted with 35 s-year university English as a foreign language (EFL) students in humanities, the study involved two sessions of instructor-led ChatGPT usage writing workshops, followed by the collection of survey responses. Data analysis unveiled a notable correlation between the L2 Motivational Self System and the Technology Acceptance Model. Particularly noteworthy is the finding that Ought-to L2 Self positively predict Actual Usage. The study discusses pedagogical and theoretical implications, along with suggesting future research directions. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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