Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization

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.

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Publication Details

Journal
Computers and Education Artificial Intelligence
Published
2024-09-17
DOI
https://doi.org/10.1016/j.caeai.2024.100302
Citations
19
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
19.97
Controls
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article

Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization

Atsushi Mizumoto, Jerry Huang
19 citations
Computers and Education Artificial Intelligence
Technology Adoption and User Behaviour
19.97
article

Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization

Atsushi Mizumoto, Jerry Huang
article en
19 citations

Abstract

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.

Computers and Education Artificial IntelligenceVol. 7
Kansai University (JP)
Openalex Percentile: Top 1%
Technology Adoption and User Behaviour
19.97
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Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization — Atsushi Mizumoto, Jerry Huang · Computers and Education Artificial Intelligence (2024) | TGRS Research Map | TGRS