Usefulness, Ease-of-use, and Acceptance towards Generative AI in Language Learning of Non-Language Majors: A TAM-based Study

Abstract

This study offers to investigate non-language major college students’ perceptions concerning Generative Artificial Intelligence (GAI) in terms of its usefulness, ease of use, and acceptance in language learning through a questionnaire survey grounded in the Technology Acceptance Model (TAM). A total of 213 engineering college students participated in the study who are in international programs. The findings of the study indicated that the majority of the respondents highlighted a positive perception towards and acceptance of GAI in language learning. Specifically, 60.09% of the students strongly agree that GAI helps them complete tasks faster and also believe that performance is more effective and productive. In addition, in terms of ease of use in GAI language learning, students strongly agree with ease of use, believing that their interaction with GAI is clear and easy to understand, with an overall average of 51.96%. The results also revealed that non-language majors would recommend the use of GAI in language learning (55.87%), that students have accepted the use of GAI to the extent of using it every day, and are resolved to continue the use of GAI in learning languages.