چکیده مقاله
This study explores how intermediate English learners interact with AI powered chatbots like ChatGPT during open ended conversations Using a corpus based approach, we analyzed the structure and quality of dialogues between 30 Iranian learners and the chatbot, focusing on how learners take turns, self repair, and respond to the chatbot’s replies coherently Learners completed various real life conversation tasks These tasks included discussions, problem solving, and information exchange Results showed that most learners actively participated in the dialogue, initiated turns, and sometimes corrected themselves The chatbot mostly responded clearly and smoothly, though it rarely offered direct corrections Overall, the findings suggest that chatbots can support meaningful language practice, increase learner confidence, and encourage self monitoring However, for more language development, chatbots may still need better ways to offer feedback and handle complex conversations
کلیدواژهها
نویسندگان
Hossein Siahpoosh
Assistant Professor, Department of English, Ard C , Islamic Azad University, Ardabil, Iran
Soraya Abaszadeh
Ph D Candidate in English Language Teaching, Department of English, Faculty of Humanities, Islamic Azad University, Ardabil Branch, Ardabil, Iran
شیوه ارجاع
Siahpoosh, Hossein and Abaszadeh, Soraya,1404,A Corpus-Based Discourse Analysis of Chabot-Learner Interactions in Second Language Acquisition,22nd International Conference on Language , Literature , Culture and History Studies,Tehran
ارائهشده در
مجموعه مقالات بیست و دومین کنفرانس بین المللی مطالعات زبان، ادبیات، فرهنگ و تاریخ24 مرداد 1404 · تهران