Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de lenguas

Resumen:

Focusing on two Chinese female university students from contrasting social class positions, Chen and Natalia, this article explores how engaging with generative artificial intelligence (AI) tools built on large language models constitutes social practice that can reproduce inequalities in language learning. Drawing on Darvin and Norton’s model of investment, we examine how these learners invest in AI literacy practices (as a specific type of digital literacies) shaped by differing dispositions toward technology and unequal access to material and symbolic resources. Data were collected through interviews, questionnaires, and digital artifacts, and analyzed using NVivo 12 following an inductive, case-based approach. Findings reveal that Chen, a middle-class student with extensive access to cultural, material, and social capital, was...

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