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Across a Latin American public university and a U.S. private university, faculty and students are navigating both a shift in tools and a shift in what counts as teaching. Drawing on interviews, classroom observations, and course artifacts, we examine how generative AI has entered these settings not as a neutral support, but as a proxy for deeper pedagogical tensions: between automation and authorship, efficiency and equity, control and trust. While dominant narratives emphasize innovation, our findings suggest that integration depends less on access or fluency than on the moral and relational labor behind instructional design. This study contributes to ongoing debates about AI in education by foregrounding teacher agency, local conditions, and the uneven labor of technological adaptation.
Jorge Martinez Cortes, Universidad Veracruzana
Emmy Min, University of Southern California
Jenifer Crawford, University of Southern California
Isai Ali Guevara Bazan, Universidad Veracruzana
Corinne Hyde, University of Southern California
Ekaterina Moore, University of Southern California
Robert A. Filback, University of Southern California