
Journal of China Computer-Assisted Language Learning, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 1, 2024
Язык: Английский
Journal of China Computer-Assisted Language Learning, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 1, 2024
Язык: Английский
System, Год журнала: 2024, Номер unknown, С. 103533 - 103533
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
12International Journal of Applied Linguistics, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 20, 2024
ABSTRACT ChatGPT has garnered significant interest for its potential educational benefits, particularly in aiding English as a foreign language (EFL) learners to develop skills. This study aims explore how various internal and external factors, outlined the proposed extended technology acceptance model (TAM), influence EFL learners’ use of enhance their oral English. Drawing on TAM questionnaires from 212 Chinese semi‐structured interviews with 12 participants, research underscores that positive attitude toward significantly influences intention adopt English‐speaking practice. Moreover, facilitating conditions predict perceived ease use. The qualitative results shed light ChatGPT's effectiveness convenience developing skills, simulate IELTS exams situational dialogues, identifying certain scenario‐specific limitations.
Язык: Английский
Процитировано
5Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Янв. 31, 2025
Язык: Английский
Процитировано
0International Journal of Human-Computer Interaction, Год журнала: 2025, Номер unknown, С. 1 - 13
Опубликована: Фев. 18, 2025
Язык: Английский
Процитировано
0European Journal of Education, Год журнала: 2025, Номер 60(1)
Опубликована: Фев. 21, 2025
ABSTRACT Research on the factors influencing acceptance of GenAI in language learning has expanded widely; however, few studies have focused role emotions. To enhance effectiveness GenAI‐powered English‐speaking instruction and experience, this study expands Integrated Model Technology Acceptance (IMTA) by investigating various emotions willingness to communicate different contexts as intrinsic motivators for conversational chatbots. Using a questionnaire ( n = 368) pre‐ post‐tests, found that EFL learners with higher communicative confidence greater foreign boredom tend perceive chatbots less useful developing speaking skills. While successfully aided them improving their skills through both theme‐based free dialogues, who are more willing engage face‐to‐face interactions peers teachers may not find productive or engaging human counterparts. The results suggest should be aware limitations students' individual differences, integrating into classrooms way aligns student's proficiency preferences create harmonious efficient GenAI‐supported environment. This also underscores importance teachers' AI competence era.
Язык: Английский
Процитировано
0Journal of China Computer-Assisted Language Learning, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
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