Strumenti e processi della glottodidattica aumentata
L’impatto dell’IA tra modelli teorici e sperimentazione nel contesto del russo L2/LS
Abstract
This study proposes an ‘augmented language teaching’ paradigm, examining the pedagogical potential of AI in foreign language teaching. Grounded in the CEFR Companion Volume (2020) and DigCompEdu, it distinguishes between general-purpose LLMs and vertical educational platforms. Using Russian L2/FL as a primary case study, the paper analyses AI-supported practices for linguistic mediation, production, and personalised learning. By addressing both opportunities and challenges, the study adopts a human-in-the-loop approach, reaffirming the teacher’s central role as a strategic mediator and designer of AI-enhanced learning processes.
Submitted: March 5, 2026 | Accepted: May 8, 2026 | Published July 14, 2026 | Language: it
Keywords CEFR • Russian as a foreign language • Teacher digital competence • Augmented language teaching • Artificial intelligence (AI) • Linguistic mediation
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