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THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING FOREIGN
LANGUAGE TEACHING AND TRANSLATION

Author: Kugunbayeva Sevinch Muzaffar qizi
1
Affiliation: Master’s student at New Uzbekistan University
1
DOI: https://doi.org/10.5281/zenodo.19665091

ABSTRACT

This article explores the transformative impact of Artificial Intelligence (AI) on foreign
language education and translation. By analyzing adaptive learning platforms and neural
translation systems, the research highlights how AI personalizes instruction and improves
linguistic accuracy. Findings suggest significant gains in learner engagement and
translation efficiency, despite ongoing ethical challenges regarding cultural nuance and
data privacy.

Keywords: artificial intelligence, language teaching, translation, adaptive learning,
automated systems, digitalization, AI tools, methodology.

INTRODUCTION
The rapid evolution of digital technologies has ushered in a paradigm shift in
linguistics and pedagogy. Artificial Intelligence is no longer a futuristic concept but a
primary driver of innovation in foreign language teaching (FLT) and translation
services (Liu, 2023). Traditional methods often struggle with scalability and
personalization. However, the integration of AI - ranging from Intelligent Tutoring
Systems to Large Language Models (LLMs) - offers data-driven, adaptive
environments that simulate human-like interaction (Vall & Araya, 2023). This article
examines current trends, methodological implementations, and the resulting
benefits and challenges of AI in these dual domains.
AI Tools in Foreign Language Teaching
The most significant advancement in FLT is the transition from "one-size-fits-all"
software to AI-driven personalized systems. Platforms like Duolingo use AI to assess
proficiency in real-time, tailoring lessons through adaptive spaced repetition (Amin,
2023).
Natural Language Processing (NLP) enables several key functions:
● Adaptive Learning Paths: Statistical analysis shows these paths are more
effective than static digital resources (Liu, 2024).
● Conversational Agents: GPT-based chatbots allow learners to practice target
languages with instant feedback on grammar and pronunciation (Amin, 2023).
● Psychological Optimization: AI-enhanced platforms reduce learner anxiety and
cognitive load while increasing motivation (Yuan, 2025).
By leveraging interaction data, these tools optimize the "Zone of Proximal
Development" for each student. Thus, AI transforms the classroom from a static 218
environment into a dynamic, learner-centered ecosystem.

II SHO‘BA:

Ta’lim jarayonida sun’iy intellekt texnologiyalarini joriy etishning nazariy
asoslari va konseptual yondashuvlari
https://www.asr-conference.com/