Авторы

  • MALIKOVA LAYLO

DOI:

https://doi.org/10.71337/inlibrary.uz.esiiw.125576

Ключевые слова:

Communicative competence artificial intelligence non philological students English language learning AI tools adaptive systems

Аннотация

In the era of digital transformation, artificial intelligence (AI) technologies offer innovative tools for enhancing English communicative competence, especially among non-philological students who often lack linguistic training. This study explores the 
integration of AI-powered platforms such as chatbots, virtual assistants, and adaptive methods for fostering speaking, listening, and writing skills through interactive and personalized experiences. Emphasis is placed on motivation, engagement, and real
time feedback, which collectively contribute to more effective language acquisition.


background image

ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ

https://scientific-jl.org/obr

Выпуск журнала №-69

Часть–2_ Мая –2025

453

2181-3187

DEVELOPING COMMUNICATIVE SKILLS IN ENGLISH AMONG

NON-PHILOLOGICAL STUDENTS BASED ON ARTIFICIAL

INTELLIGENCE TECHNOLOGIES

MALIKOVA LAYLO

13.00.02 First of year doctoral student

in English language methodology

Scientific supervisor: Isyanov Ravil Gennadyevich

ABSTRACT

In the era of digital transformation, artificial intelligence (AI) technologies offer

innovative tools for enhancing English communicative competence, especially among

non-philological students who often lack linguistic training. This study explores the

integration of AI-powered platforms such as chatbots, virtual assistants, and adaptive

learning systems—into English language learning environments. The paper highlights

methods for fostering speaking, listening, and writing skills through interactive and

personalized experiences. Emphasis is placed on motivation, engagement, and real-

time feedback, which collectively contribute to more effective language acquisition.

Keywords:

Communicative competence, artificial intelligence, non-

philological students, English language learning, AI tools, adaptive systems

ANNOTATSIYA

Raqamli transformatsiya davrida sun’iy intellekt texnologiyalari til bo‘yicha

maxsus tayyorgarlikka ega bo‘lmagan, nofilologik yo‘nalishdagi o‘quvchilarda ingliz

tilida muloqot ko‘nikmalarini rivojlantirish uchun innovatsion vositalarni taqdim etadi.

Ushbu maqolada chat-botlar, virtual yordamchilar va moslashuvchan o‘quv tizimlari

kabi sun’iy intellekt asosidagi platformalarni ingliz tili o‘rgatish jarayoniga

integratsiyalash muhokama qilinadi. Gapirish, tinglash va yozish ko‘nikmalarini

rivojlantirishda interaktiv va shaxsiy yondashuvlar asosiy o‘rinni egallaydi.

Motivatsiya, jalb etish va real vaqtda fikr-mulohaza olish orqali til o‘zlashtirish

samaradorligi oshiriladi.


background image

ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ

https://scientific-jl.org/obr

Выпуск журнала №-69

Часть–2_ Мая –2025

454

2181-3187

Kalit so‘zlar:

Muloqot ko‘nikmalari, sun’iy intellekt, nofilologik o‘quvchilar,

ingliz tili ta’limi, AI vositalari, moslashuvchan tizimlar

АННОТАЦИЯ

В эпоху цифровой трансформации технологии искусственного интеллекта

предоставляют инновационные инструменты для развития коммуникативных

навыков по английскому языку среди студентов нефилологических направлений,

не обладающих специальной лингвистической подготовкой. В статье

рассматривается интеграция платформ на базе ИИ, таких как чат-боты,

виртуальные помощники и адаптивные обучающие системы, в процесс изучения

английского языка.

Ключевые слова:

Коммуникативная компетенция, искусственный

интеллект, нефилологические студенты, обучение английскому языку, ИИ-

инструменты, адаптивные системы

INTRODUCTION

In the 21st century, the ability to communicate effectively in English has become

a key skill for students across all disciplines, not just those studying philology or

languages. For non-philological students those pursuing careers in engineering,

medicine, economics, technology, and other fields English often serves as a tool for

accessing global knowledge, participating in international collaboration, and

increasing career opportunities. However, many of these students face significant

challenges in developing communicative competence due to limited exposure to

language-rich environments and traditional teaching methods that focus more on

grammar than on practical usage.

At the same time, the rapid development of

artificial intelligence (AI)

technologies is reshaping education. AI tools such as intelligent tutoring systems,

speech recognition, chatbots, language learning apps, and virtual reality simulations

offer new opportunities for personalized, interactive, and engaging language learning

experiences[1]. These technologies can address individual learners' needs, provide


background image

ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ

https://scientific-jl.org/obr

Выпуск журнала №-69

Часть–2_ Мая –2025

455

2181-3187

immediate feedback, and simulate real-life communication scenarios, which are crucial

for developing fluency and confidence.

LITERATURE ANALYSIS AND RESEARCH METHODOLOGY

The field of English language teaching has undergone significant

transformations with the advent of digital technologies, and recent literature

emphasizes the growing importance of artificial intelligence in enhancing language

education. Scholars have examined the role of AI-based tools such as virtual assistants,

intelligent tutoring systems, machine learning algorithms, and natural language

processing in facilitating individualized learning experiences. Many researchers agree

that the integration of AI can shift the focus from teacher-centered instruction to

learner-centered environments where students actively engage in authentic

communication tasks.

Several studies highlight the benefits of AI in developing communicative

competence. For instance, the use of AI-powered chatbots allows learners to practice

real-time conversations in a safe and non-judgmental space[2]. These tools not only

provide instant feedback on grammar and vocabulary usage but also encourage

repeated practice, which is vital for language acquisition. Other research emphasizes

the value of speech recognition software in helping students improve pronunciation,

fluency, and listening comprehension through interactive exercises[5].

DISCUSSION AND RESULTS

Practical Applications of AI in Developing English Communicative Skills

Practical

Approach

AI Tool Used

Example of

Use

Observed/Expected

Result

Interactive

conversation

practice

AI Chatbots

(e.g.,

Replika,

ChatGPT)

Students

engage in daily

chats on topics

like

greetings,

Improved confidence

in

speaking;

reduced

anxiety

in

real-life

conversations


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ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ

https://scientific-jl.org/obr

Выпуск журнала №-69

Часть–2_ Мая –2025

456

2181-3187

Practical

Approach

AI Tool Used

Example of

Use

Observed/Expected

Result

travel,

food

ordering

Pronunciation

enhancement

AI

Speech

Recognition (e.g.,

Elsa

Speak,

Google Speech)

Students

read short texts

aloud

and

receive

instant

pronunciation

feedback

Better

articulation;

noticeable improvement in

accent and fluency

Professional

communication

scenarios

AI-based

simulations

Students

role-play

scenarios

(doctor-patient,

engineer-client)

with AI support

Development

of

field-specific vocabulary

and

communication

strategies

Writing

and

grammar support

Grammarly,

QuillBot,

ChatGPT

Students

write

short

reports or essays;

AI tools correct

grammar

and

suggest

improvements

Enhanced

written

expression;

increased

awareness of sentence

structure

Creative

communication

tasks

AI

Task

Generators

Tasks like

“Create a travel

vlog script” or

“AI-generated

Encourages

real-

world use of language;

boosts

motivation

and

creativity


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ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ

https://scientific-jl.org/obr

Выпуск журнала №-69

Часть–2_ Мая –2025

457

2181-3187

Practical

Approach

AI Tool Used

Example of

Use

Observed/Expected

Result

dialogue for a job

interview”

Real-time

feedback

and

correction

Smart

AI

Feedback Systems

AI

evaluates

speaking

and

writing

tasks

instantly

and

offers

suggestions

Continuous

improvement;

promotes

self-editing and learner

autonomy

Listening

comprehension

development

AI-generated

podcasts

and

transcripts

Students

listen

to

AI-

curated

audios

with

subtitles

and

practice

summarizing

Improved

listening

and summarizing skills;

better attention to spoken

details

Vocabulary

building

through

context

NLP-based

flashcard

apps

(e.g., Anki + AI

plugins)

Students

review

AI-

curated

vocabulary based

on

usage

frequency

and

context

Stronger word recall;

contextual understanding

of new vocabulary

This table highlights how non-language major students can practically benefit

from AI-driven tools in their journey to improve English communicative competence.


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ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ

https://scientific-jl.org/obr

Выпуск журнала №-69

Часть–2_ Мая –2025

458

2181-3187

The focus remains on real classroom or self-learning settings, ensuring each tool

directly contributes to productive language use[3].

CONCLUSION

The integration of artificial intelligence technologies into English language

education opens new and effective avenues for developing communicative skills,

especially among non-philological students. Unlike traditional methods, AI-powered

tools offer personalized, interactive, and learner-centered experiences that cater to

various learning styles and proficiency levels. By using AI applications such as

chatbots, speech recognition software, smart writing assistants, and virtual simulations,

students are exposed to authentic communication environments that promote active

language use.

This study demonstrated that AI not only enhances students’ engagement and

motivation but also provides continuous, data-driven feedback that helps learners

identify and correct their weaknesses independently. As a result, students build greater

confidence in using English in both academic and professional contexts[4].

The practical applications explored in this research show that even learners

without a strong linguistic background can significantly improve their fluency,

accuracy, and communicative competence when supported by well-designed AI tools.

Furthermore, AI contributes to inclusive education by offering accessible and

adaptable solutions that can be easily implemented in diverse learning environments.

REFERENCES

1.

Alrehaili, T. (2020). The impact of artificial intelligence applications on EFL

learners’ speaking skills. International Journal of Emerging Technologies in Learning,

15(22), 83–94.

https://doi.org/10.3991/ijet.v15i22.17175

2.

Godwin-Jones, R. (2019). Challenges and opportunities in using AI tools for

language

learning.

Language

Learning

&

Technology,

23(3),

4–14.

https://doi.org/10125/44660

3.

Liaw, M. L., & English, K. (2017). Using Chatbots to Facilitate English

Language Practice: A Case Study. CALL-EJ, 18(2), 16–28.


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ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ

https://scientific-jl.org/obr

Выпуск журнала №-69

Часть–2_ Мая –2025

459

2181-3187

4.

Kukulska-Hulme, A. (2020). Mobile-assisted language learning [MALL] and AI

integration: Potentials for communication skill development. ReCALL, 32(1), 16–30.

https://doi.org/10.1017/S0958344019000200

5.

Hwang, G. J., & Fu, Q. K. (2019). Trends in the research design and application

of mobile language learning: A review of 2007–2016 publications in selected SSCI

journals.

Interactive

Learning

Environments,

27(4),

567–581.

https://doi.org/10.1080/10494820.2018.1486861

Библиографические ссылки

Alrehaili, T. (2020). The impact of artificial intelligence applications on EFL

learners’ speaking skills. International Journal of Emerging Technologies in Learning,

learning.

Godwin-Jones, R. (2019). Challenges and opportunities in using AI tools for

language

Language

Learning & Technology, 23(3), 4–14.

Liaw, M. L., & English, K. (2017). Using Chatbots to Facilitate English

Language Practice: A Case Study. CALL-EJ, 18(2), 16–28.4.

Kukulska-Hulme, A. (2020). Mobile-assisted language learning [MALL] and AI

integration: Potentials for communication skill development. ReCALL, 32(1), 16–30.

Hwang, G. J., & Fu, Q. K. (2019). Trends in the research design and application

of mobile language learning: A review of 2007–2016 publications in selected SSCI

journals.

Interactive

Learning

Environments