Ethical legitimacy and pedagogical activation: generational sensemaking of GenAI in language teaching

A study examining language teachers' interpretations and responses to Generative AI (GenAI) in urban Chinese contexts reveals a generational divide in adoption patterns. Early-career teachers pragmatically integrate GenAI for lesson preparation, material differentiation, and feedback, while experienced teachers express concerns regarding student authorship, effort, assessment fairness, and professional responsibility. These differences are rooted in varying ethical and pedagogical perspectives rather than solely technical proficiency.

This research highlights crucial differences in how professional cohorts perceive and integrate emerging technologies, which impacts workforce development, educational quality, and the ethical integration of AI. Understanding these dynamics is essential for designing effective training programs, establishing clear policy guidelines, and fostering an innovative yet responsible approach to technology adoption across institutions.

Early-career language teachers exhibit a higher propensity for pragmatic GenAI use in instructional design, material differentiation, and feedback.

Forward consideration, not a verified fact.