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INTERACTIVE METHODS OF LEARNING LANGUAGES: THE IMPACT OF
ARTIFICIAL INTELLIGENCE ON LANGUAGE LEARNING

Author: Rakhmonova Shahnoza Komiljonovna
1
Affiliation: 1st year master's student at Nordic International University
1
DOI: https://doi.org/10.5281/zenodo.19675933

ABSTRACT

This article explores the transformative role of Artificial Intelligence (AI) in the context of
interactive language learning. By analyzing current pedagogical shifts, the study investigates
how AI-driven tools—such as Intelligent Tutoring Systems (ITS), Natural Language
Processing (NLP) models, and gamified platforms—enhance linguistic competence. The
research focuses on the transition from passive consumption to active, personalized
interaction. The findings suggest that while AI significantly accelerates vocabulary
acquisition and phonetic accuracy, its primary value lies in its ability to democratize
personalized instruction, though human-led cultural nuance remains an essential secondary
component.

Keywords: Artificial Intelligence, Language Acquisition, Interactive Learning, NLP, Digital
Pedagogy, Personalized Learning, EdTech.

INTRODUCTION
The paradigm of second language acquisition (SLA) has undergone a radical
transformation in the 21st century, shifting from traditional grammar-translation
methods to communicative and interactive approaches that prioritize learner
autonomy. At the heart of this evolution lies the integration of Artificial Intelligence
(AI), which has redefined what it means to "interact" with a language. Historically,
interaction required the physical or synchronous presence of a native speaker or
instructor; however, modern AI ecosystems now simulate these complex social
dynamics through sophisticated algorithms. The problem addressed in this article is
how these interactive AI methods impact the cognitive and psychological aspects of
language learning. As globalization increases the demand for multilingualism, the
traditional classroom often fails to provide the individualized attention necessary for
fluency. AI fills this gap by offering a non-judgmental, hyper-personalized, and
infinitely patient interlocutor. This study aims to analyze the current state of AI-driven
language tools and their pedagogical implications, arguing that the shift toward AI-
mediated interaction represents the most significant advancement in applied
linguistics since the advent of the communicative approach. By synthesizing diverse
scholarly perspectives, this article seeks to provide a holistic overview of how AI
influences learner engagement and proficiency levels in an increasingly digital world
[1].
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