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Learner Perspectives on AI-Supported Feedback in Thai as a Foreign Language Learning: A Q Methodology Study | ||
| Iranian Journal of Language Teaching Research | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 06 مرداد 1405 | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.30466/ijltr.2026.57103.3323 | ||
| نویسندگان | ||
| Watcharapol Wiboolyasarin1؛ Panita Srisook2؛ Nattawut Jinowat* 3؛ Kanokpan Wiboolyasarin4 | ||
| 1- Research Institute for Languages and Cultures of Asia, Mahidol University, Nakhon Pathom 73170 - School of Foreign Languages and South Asian and Southeast Asian Studies, Yunnan Minzu University, Kunming 650500 | ||
| 2School of Foreign Languages and South Asian and Southeast Asian Studies, Yunnan Minzu University, Kunming 650500 | ||
| 3Demonstration School, Suan Sunandha Rajabhat University, Bangkok 10300 | ||
| 4Faculty of Management Science, Chandrakasem Rajabhat University, Bangkok 10900 | ||
| چکیده | ||
| This study investigates how learners interpret and engage with AI-supported feedback in second language (L2) learning, with a focus on Thai as a foreign language (TFL). As artificial intelligence becomes increasingly integrated into language education, understanding how learners respond to AI-generated feedback is critical for informing teaching and learning practices. Using Q methodology, this study explores the subjective perspectives of 40 Chinese university students learning Thai in a less commonly taught language (LCTL) context. The analysis identified four distinct learner typologies: Human-Centered Traditionalists, Optimistic Tech-Adopters, Guided Personalization Seekers, and Cautious Pragmatists. These typologies reflect systematic variation in how learners evaluate AI-supported feedback, teacher engagement, and opportunities for communicative practice. While some learners value AI as a tool for extending autonomous learning and improving writing and grammar, others emphasize the importance of teacher-mediated interaction for interpreting meaning, developing communicative competence, and addressing culturally embedded language use. The findings indicate that AI-supported feedback is not uniformly accepted but is interpreted in relation to learners’ expectations of instruction, feedback quality, and communicative relevance. From a pedagogical perspective, the study highlights the need to integrate AI as a complementary resource that supports teacher guidance. It further suggests that effective AI integration in L2 classrooms requires a context-sensitive design, learner training in feedback use, and alignment with communicative learning goals. This study can contribute to research on technology-enhanced language learning by providing a learner-centered account of how AI-supported feedback is experienced in L2 contexts and by offering practical implications for classroom implementation and instructional design. | ||
| کلیدواژهها | ||
| artificial intelligence-supported feedback؛ second language learning؛ Thai as a foreign language؛ learner perspectives؛ Q methodology | ||
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آمار تعداد مشاهده مقاله: 3 |
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