Types of Contributions:
We especially welcome empirical and data-informed chapters that examine how generative AI is affecting language learners. Conceptual or theoretical chapters may also be considered when they offer a clear framework for understanding learner change in AI-mediated contexts.
Possible Chapter Areas:
Learner self, identity, and affect
Identity, L2 self, investment, agency, affect, anxiety, confidence, and learner experience.
Participation, community, and legitimacy
Participation, belonging, communities of practice, speech communities, language socialization, and legitimacy.
Language, norms, and authenticity
Linguistic norms, feedback, authority, authenticity, voice, authorship, effort, and cognitive offloading.
Power, inequality, and critical perspectives
Access, algorithmic bias, linguistic inequality, decolonization, Global Englishes, and critical AI studies.