From Authentic to “Authenticized”: Reconceptualizing Language Teacher Identity and AI-Driven Materials
Stefano Maranzana, Emory University (United States)
Abstract
Generative Artificial Intelligence (AI) creates a pivotal moment for language teacher identity (LTI), introducing productive tensions as educators navigate technological change (Lan, 2024). LTI is a complex construct, understood as the active, conscious way teachers perceive themselves and are perceived by others within their professional roles (Beijaard, Meijer, & Verloop, 2004). The digital age demands a reconceptualization of this identity. This paper reflects on how AI tools afford teachers new pedagogical agency whereby they produce “authenticized” materials—AI-generated content that feels authentic to learners—to create listening tasks tailored to curricular goals.
Drawing on sociocultural and poststructuralist theories (Sang, 2022; Varghese et al, 2005), this reflection frames this development as a significant shift. The power to generate input transforms the teacher from content consumer to curriculum designer with a new pedagogical agency that is central to constructing a professional identity (Shafiee, Marandi, & Mirzaeian, 2022). Professionalizing teachers requires a critical awareness of AI’s potential for creating new learning pathways responsive to digital native students (Lai, Lyu, Jiang, & Gong, 2025).
Keywords |
Language Teacher Identity, Artificial Intelligence, Listening Comprehension, Teacher Agency, Authenticized Materials |
REFERENCES |
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