Keywords
Second Language Acquisition (SLA)
Large Language Models
Personalized Learning
EdTech
Neural Networks
Linguistic
How to Cite
Abstract
The integration of Artificial Intelligence (AI) into the field of Applied Linguistics has catalyzed a paradigmatic shift in how foreign languages are taught and internalized. This article provides a comprehensive analysis of the role of AI in language learning, focusing on its ability to provide personalized, adaptive, and immediate feedback. The study evaluates the efficacy of Large Language Models (LLMs), Intelligent Tutoring Systems (ITS), and Neural Machine Translation in fostering linguistic proficiency. By examining both the cognitive benefits and the socio-pragmatic challenges posed by these technologies, the paper argues that AI represents a revolutionary leap toward autonomous and immersive language acquisition, provided it is used as a tool for cognitive scaffolding rather than a substitute for active production.References
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