Learner Perspectives on AI-Supported Feedback in Thai as a Foreign Language Learning: A Q Methodology Study

سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 74

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شناسه ملی سند علمی:

JR_IJLTR-14-2_005

تاریخ نمایه سازی: 21 مهر 1405

چکیده مقاله:

This study investigates how learners interpret and engage with AI-supported feedback in second language (L۲) 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 ۴۰ 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 L۲ 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 L۲ contexts and by offering practical implications for classroom implementation and instructional design.

نویسندگان

Watcharapol Wiboolyasarin

Mahidol University, Thailand

Panita Srisook

Yunnan Minzu University, China

Nattawut Jinowat

Suan Sunandha Rajabhat University, Thailand

Kanokpan Wiboolyasarin

Chandrakasem Rajabhat University, Thailand