TAM

This study sets out to explore English as foreign language (EFL) and Iranian teachers' attitudes ‎towards the implementation of MALL instruction. For that matter, a mixed-methods design, ‎including questionnaires, structured interviews and observation were employed. A total of 87 ‎EFL teachers participated in the questionnaire, which was the quantitative phase of the study. ‎In addition, 10 EFL teachers were interviewed and their classes were observed for the ‎qualitative phase of the study. The participant EFL teachers have been teaching at a number of ‎universities and language-teaching institutions in Mazandaran. One-sample t-test was used to ‎analyze the questionnaire data and the results suggested that the Iranian EFL teachers adopted ‎moderately positive attitudes towards the implementation of MALL instruction, but the ‎observation data indicated that most teachers preferred traditional ways of teaching English in ‎the EFL context. At the same time, the interview data revealed that the implementation of ‎MALL instruction in Iran is challenging due to a number of perceived barriers and obstacles. ‎The most considerable perceived challenges to the implementation of MALL instruction ‎comprise lack of online facilities and resources, lack of interaction in online instruction, and ‎teachers’ limited knowledge of online instruction. The findings provide crucial insights into ‎teachers’ attitudes towards integrating MALL into their EFL classroom instruction in Iran. ‎

This study investigated the acceptance of ChatGPT as a language learning tool among 536 learners, including international English language learners in the UK (N = 414) and Iranian EFL learners (N = 122), highlighting cross-cultural differences in technology adoption. Using a mixed-methods approach guided by the Technology Acceptance Model (TAM), which also incorporated a deeper exploration of cultural and contextual factors, this study examined perceived ease of use, perceived usefulness, attitudes, behavioral intention, actual usage, perceived enjoyment, facilitating conditions, and technological complexity. Quantitative surveys revealed that Iranian EFL learners exhibit higher engagement and acceptance of ChatGPT, potentially driven by more favorable facilitating conditions and intrinsic motivation observed in that group. Qualitative interviews further emphasized cultural and educational influences, with Iranian EFL learners valuing accessibility and consistent feedback, while UK international learners stressed creative applications and contextual accuracy. The findings underscore the importance of considering the context-dependent nature of technology acceptance and adapting AI-powered tools to diverse learner needs and specific educational environments, rather than assuming universal benefits. These results offer practical implications for educators and developers aiming to integrate such technologies into language education.