Generative AI in Language Education

Negotiating Power, Agency, and Identity Formation

Trilingual Conference – French, English & Indigenous languages (where applicable)

Hybrid Format, June 16–17, 2027

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How do generative algorithmic environments affect processes of linguistic socialization, discursive agency, and identity formation in contemporary linguistic and cultural educational contexts?

Generative algorithmic environments are rapidly transforming educational practices and reshaping how language, identity, and agency are experienced and negotiated. This conference brings together researchers, educators, and practitioners to explore how these environments influence processes of linguistic socialization, discursive agency, and identity construction in contemporary educational contexts.

Focusing on language education broadly defined—including the teaching and learning of first, second, and additional languages, academic literacy, and the didactics of language and discourse—this event aims to foster critical dialogue across diverse contexts, including majority, minority, and marginalized settings.

This conference offers a unique opportunity to examine how generative AI is reshaping pedagogical practices, learner and instructor roles, and the broader dynamics of power and identity in linguistic education.

Scientific Objective

This conference seeks to move beyond broad generalizations about the promises or risks of generative AI in order to offer a situated, empirically informed, and theoretically rigorous analysis of its effects on language, cognition, identities, and power relations in linguistic and cultural educational contexts.

Particular attention will be paid to language and culture teaching and learning contexts, as well as to transformations in academic discourse practices. The conference aims to contribute to the development of a renewed critical digital literacy that articulates algorithmic understanding, epistemic and linguistic reflexivity, and social justice.