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December 6, 2025Foreign Language Annals2 citations

Trust, resistance, and transformation: A Q‐methodological study of teachers' perspectives on AI‐generated feedback in second language writing

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NJNattawut JinowatFCFuanglada Chomchuen

Key Points

  • The study identifies four distinct viewpoints on AI's role in writing instruction, reflecting varying levels of trust among educators.
  • Forty teachers participated, sorting statements related to pedagogical, emotional, and ethical concerns about AI feedback.
  • Assessment used Q-methodology and by-person factor analysis to understand educators' complex perspectives.
  • Findings emphasize the importance of contextual responses and targeted professional development for effective AI adoption.

Abstract

Abstract The integration of artificial intelligence (AI) into second language (L2) writing instruction has generated an ongoing debate concerning its pedagogical value, ethical implications, and classroom implementation. While existing research highlights AI's potential to enhance writing development, teachers' subjective views remain underexplored. This study uses Q‐methodology to examine educators' perspectives on the pedagogical role of AI, particularly AI‐generated feedback, in L2 writing instruction. Forty teachers sorted 42 statements that captured pedagogical, emotional, and ethical concerns related to AI‐supported writing practices. By‐person factor analysis revealed four distinct viewpoints: (1) Instructor‐Led Guided Trust , (2) Institution‐Dependent Conditional Trust , (3) Strategic Resistance , and (4) Transformative Embrace . These perspectives reflect varying degrees of trust in AI, informed by beliefs about instructional quality and teacher roles. The findings emphasize the need for teacher agency, contextual responsiveness, and targeted professional development in AI adoption. This study contributes to a deeper understanding of how educators reconcile emerging technologies with pedagogical integrity, offering practical implications for policy, training, and future research in technology‐enhanced education.

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Cite This Study

Jinowat et al. (2025) studied this question.

synapsesocial.com/papers/69337cfbb3f947a0a125a66ehttps://doi.org/10.1111/flan.70042
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