English language program professionals negotiating Generative AI: action research in a community of practice

Generative AI (GenAI) adoption in English language programs (ELPs) has outpaced training and institutional support. This practitioner action research (AR) study investigates how eight professionals in a university-based ELP navigated GenAI integration through structured inquiry within a Community of Practice (CoP) framework. Following Burns’s (2010) cyclical AR model and Whitehead and McNiff’s (2006) living theory approach, participants engaged in an AR cycle (January 2025-April 2026). Data comprised transcriptions of three recorded meetings and four researcher journals, analyzed using reflexive thematic analysis. Five themes were identified: implications of GenAI on professional practices, personal and professional identity, efficiency versus deskilling, ethics of GenAI use, and policies around GenAI use. Participants discussed instrumental, task-level problems alongside existential questions about authenticity, human relevance, and professional identity. The CoP developed shared repertoires, including commitments to transparency, verification as professional responsibility, and platform agnosticism, while individual trajectories ranged from systematic integration to persistent resistance. The study shifts research focus from individual perceptions to collective sense-making, extends the professional community beyond instructors, and demonstrates that GenAI integration in ELPs is not merely a technical challenge but an identity and ethical one benefiting from systematic collaborative inquiry through AR.