Authors

  • Nilufar Normamatova
    Navoiy State University
  • Ma`mura Burxanova
    Navoiy State University

DOI:

https://doi.org/10.71337/inlibrary.uz.ijai.80570

Abstract

Pronunciation plays an important role in oral communication, but it is one of the most challenging aspects of second language learning, especially for adult ESL (English as a Second Language) learners. Effective feedback mechanisms can help learners develop accurate pronunciation and intelligible speaking skills. This article reviews various feedback strategies that can help improve pronunciation, including precision correction, recasting, meta-linguistic feedback, and self-monitoring techniques. It also discusses the use of speech recognition software and artificial intelligence-based pronunciation apps that provide real-time, personalized correction

       The results of the study show that the combination of the lecturer is significantly increases the phonetic accuracy of students. This article emphasizes how important it is when they provide practical recommendations for language teachers, especially the timely, timely and constructive focusing on developing pronunciation.


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INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE

ISSN: 2692-5206, Impact Factor: 12,23

American Academic publishers, volume 05, issue 04,2025

Journal:

https://www.academicpublishers.org/journals/index.php/ijai

page 709

IMPLEMENTING EFFECTIVE FEEDBACK MECHANISMS IN LANGUAGE LEARNING:

A FOCUS ON PRONUNCIATION CORRECTION IN ADULTS ESL CLASSES

Normamatova Nilufar Sherzod qizi,

Student of the Navoiy State University

Ma`mura Gulyamovna Burxanova

Supervisor

Abstract:

Pronunciation plays an important role in oral communication, but it is one of the

most challenging aspects of second language learning, especially for adult ESL (English as a

Second Language) learners. Effective feedback mechanisms can help learners develop

accurate pronunciation and intelligible speaking skills. This article reviews various feedback

strategies that can help improve pronunciation, including precision correction, recasting,

meta-linguistic feedback, and self-monitoring techniques. It also discusses the use of speech

recognition software and artificial intelligence-based pronunciation apps that provide real-

time, personalized correction.

The results of the study show that the combination of the lecturer is significantly

increases the phonetic accuracy of students. This article emphasizes how important it is when

they provide practical recommendations for language teachers, especially the timely, timely

and constructive focusing on developing pronunciation.

Keywords:

Pronunciation correction, ESL learners, feedback mechanisms, explicit correction,

speech recognition, metalinguistic feedback, adult language learning.

Аннотация:

Произношение играет важную роль в устной коммуникации, но оно

является одним из самых сложных аспектов изучения второго языка, особенно для

взрослых учащихся ESL (английский как второй язык). Эффективные механизмы

обратной связи могут помочь учащимся развить точное произношение и разборчивые

речевые навыки. В данной статье рассматриваются различные стратегии обратной

связи, которые могут способствовать улучшению произношения, включая точную

коррекцию, переформулирование, метаязыковую обратную связь и техники

самоконтроля. Также обсуждается использование программ распознавания речи и

приложений на базе искусственного интеллекта для произношения, которые

обеспечивают персонализированную коррекцию в реальном времени.

Результаты исследования показывают, что сочетание различных методов

преподавателя значительно повышает фонетическую точность студентов. В статье

подчеркивается важность того, чтобы преподаватели давали практические

рекомендации, особенно своевременную и конструктивную обратную связь, с

акцентом на развитие произношения

.

Ключевые слова:

Коррекция произношения, учащиеся ESL, механизмы обратной

связи, явная коррекция, распознавание речи, металингвистическая обратная связь,

обучение языку взрослых.


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INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE

ISSN: 2692-5206, Impact Factor: 12,23

American Academic publishers, volume 05, issue 04,2025

Journal:

https://www.academicpublishers.org/journals/index.php/ijai

page 710

Annotatsiya:

Talaffuz og‘zaki muloqotda muhim rol o‘ynaydi, biroq bu ikkinchi tilni

o‘rganishda, ayniqsa kattalar uchun mo‘ljallangan ESL (Ingliz tili ikkinchi til sifatida)

o‘rganuvchilari uchun eng murakkab jihatlardan biridir. Samarali fikr-mulohaza

mexanizmlari o‘rganuvchilarga aniq talaffuz va tushunarli so‘zlashuv ko‘nikmalarini

shakllantirishga yordam berishi mumkin. Ushbu maqolada talaffuzni yaxshilashga xizmat

qiladigan turli fikr-mulohaza strategiyalari, jumladan aniqlik bilan tuzatish, qayta aytish

(recasting), metatilshiy fikr-mulohaza va o‘z-o‘zini nazorat qilish texnikalari ko‘rib chiqiladi.

Shuningdek, maqolada nutqni tanib olish dasturlari va sun’iy intellekt asosidagi talaffuz

ilovalari orqali real vaqt rejimida, shaxsga mos tuzatishlar berilishi haqida ham so‘z yuritiladi.

Tadqiqot natijalari shuni ko‘rsatadiki, o‘qituvchining turli yondashuvlarni

uyg‘unlashtirib qo‘llashi talabalar talaffuzining fonetik aniqligini sezilarli darajada oshiradi.

Ushbu maqolada til o‘qituvchilari uchun amaliy tavsiyalar beriladi va ayniqsa talaffuzni

rivojlantirishda o‘z vaqtida va konstruktiv fikr-mulohazaning muhimligi ta’kidlanadi.

Kalit so‘zlar:

Talaffuzni tuzatish, ESL o‘rganuvchilari, fikr bildirish mexanizmlari, aniq

tuzatish, nutqni aniqlash, metalingvistik fikr bildirish, kattalar til o‘rganishi.

Pronunciation is an important component of language proficiency, affecting not only

language learning but also social adaptation

1

. Poor pronunciation can cause communication

problems even for students with good grammar and vocabulary knowledge

2

. However,

pronunciation instruction is one of the areas that receives less attention in ESL classes than

other language skills

3

.

The Role of Feedback in Pronunciation Learning

Feedback plays an important role in language learning because it informs learners

about their mistakes and helps them correct them

4

. Research shows that specific and direct

feedback can be particularly helpful for adult ESL learners

5

. The following are some of the

types of feedback commonly used in pronunciation teaching:

Direct correction

: The teacher directly points out the student's pronunciation error and

suggests the correct form. This method has been shown to be effective in increasing

awareness of pronunciation errors

6

Recast

: The teacher rephrases the student’s mispronounced word or phrase in the correct

form. While this technique is helpful, some studies have shown that students sometimes do

not notice such corrections

7

.

1

Derwing & Munro,2015

2

Gilakjani,2016

3

Fraser,2000

4

Saito&Lyster,2012

5

Lyster &Ranta,1997

6

Ellis,2009

7

Ammar& Spada,2006


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INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE

ISSN: 2692-5206, Impact Factor: 12,23

American Academic publishers, volume 05, issue 04,2025

Journal:

https://www.academicpublishers.org/journals/index.php/ijai

page 711

Metalinguistic feedback

: The teacher provides linguistic explanations for phonetic

errors, which helps students understand pronunciation rules

8

.

Self-monitoring and peer feedback

: Students’ ability to assess their own pronunciation

or provide feedback to each other develops independent learning and self-correction skills.

Pronunciation Correction Using Technology

In recent years, technological advances have introduced new tools for pronunciation

correction. Speech recognition software, AI-powered mobile applications, and interactive

pronunciation coaches provide students with real-time feedback.

Research shows that technology-based feedback is more effective when used in

conjunction with traditional teacher-led correction . For example, mobile applications such as

ELSA Speak

and

SpeechAce

use AI to identify and correct students’ pronunciation errors,

which increases the opportunity for independent practice.

Challenges in Implementing Feedback Mechanisms

There are some challenges in providing effective feedback. For example, some students

may

have

difficulty

accepting

direct

corrections

and

this

may

cause

anxiety in them

9

. In addition, there may not be enough time during the lesson for

the

teacher to provide individual feedback to each student. The effectiveness of

feedback also depends on the student’s level, motivation, and willingness to self-correct

10

.

The main factors that affect the effectiveness of feedback are:

1. Psychological resistance of students

Some adult students feel uncomfortable receiving correction in person or in public. This

reduces their participation, reduces their motivation, and leads to a fear of expressing

themselves freely . Pronunciation errors can be a source of personal embarrassment,

especially when they feel that their pronunciation is related to their personality or cultural

identity.

2. Lack of teacher skills and knowledge

Not all teachers have sufficient knowledge and experience in teaching pronunciation or

phonetic analysis. In this case, they may not know how to effectively provide feedback,

especially how to identify and explain phonological errors

11

.

8

Saito & Lyster,2012

9

Horwitz,Horwitz & Cope,1986

10

Derwing &Munro,2015

11

Fraser ,2000


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INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE

ISSN: 2692-5206, Impact Factor: 12,23

American Academic publishers, volume 05, issue 04,2025

Journal:

https://www.academicpublishers.org/journals/index.php/ijai

page 712

3. Limited lesson time

Many language classes have limited time, which makes it difficult to provide individual

feedback to each student. Teachers are forced to spend more time on vocabulary and

grammar, which results in insufficient attention to pronunciation.

4. Lack of attention or low priority to pronunciation

Some students may have little need or interest in correcting pronunciation. They may

consider pronunciation unimportant or think that they are clear. This makes feedback

ineffective because the student does not take it seriously.

5. Misunderstanding of feedback

Especially because of complex phonetic terms or poorly delivered explanations, the

student may misunderstand the feedback. In this case, the error is not corrected, but confusion

arises.

6. Cultural Differences

Students from different cultural backgrounds may perceive feedback differently. In some

cultures, it is considered impolite to criticize or point out mistakes, which requires caution

when giving feedback.

7. Limited access to technological tools

While technological approaches are effective, not all students always have access to the

internet, smartphones, or specialized apps. This creates challenges in the equitable

distribution of digital feedback tools.

References:

1. Ammar, A., & Spada, N. (2006). One size fits all? Recasts, prompts, and L2 learning.

Studies in Second Language Acquisition, 28(4), 543-574.

2. Derwing, T. M., & Munro, M. J. (2015). Pronunciation fundamentals: Evidence-based

perspectives for L2 teaching and research. John Benjamins.

3. Ellis, R. (2009). Corrective feedback and teacher development. L2 Journal, 1(1), 3-18.

4. Fraser, H. (2000). Coordinating improvements in pronunciation teaching for adult

learners of English as a second language. Department of Education, Training and Youth

Affairs, Canberra, Australia.

5. Gilakjani, A. P. (2016). English pronunciation instruction: A literature review.

International Journal of Research in English Education, 1(1), 1-6.

6. Horwitz, E. K., Horwitz, M. B., & Cope, J. (1986). Foreign language classroom anxiety.

The Modern Language Journal, 70(2), 125-132.

7. Liakin, D., Cardoso, W., & Liakina, N. (2017). Mobilizing pronunciation teaching:

Using visual feedback on vowels with an English pronunciation app. Language Learning

& Technology, 21(1), 31-50.


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INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE

ISSN: 2692-5206, Impact Factor: 12,23

American Academic publishers, volume 05, issue 04,2025

Journal:

https://www.academicpublishers.org/journals/index.php/ijai

page 713

8. Lyster, R., & Ranta, L. (1997). Corrective feedback and learner uptake. Studies in

Second Language Acquisition, 19(1), 37-66.

9. Neri, A., Cucchiarini, C., Strik, H., & Boves, L. (2008). The effectiveness of computer-

based speech feedback for pronunciation training. Applied Linguistics, 29(4), 533-554.

10. Saito, K., & Lyster, R. (2012). Effects of form-focused instruction and corrective

feedback on L2 pronunciation development. Studies in Second Language Acquisition,

34(4), 591-626.

References

Ammar, A., & Spada, N. (2006). One size fits all? Recasts, prompts, and L2 learning. Studies in Second Language Acquisition, 28(4), 543-574.

Derwing, T. M., & Munro, M. J. (2015). Pronunciation fundamentals: Evidence-based perspectives for L2 teaching and research. John Benjamins.

Ellis, R. (2009). Corrective feedback and teacher development. L2 Journal, 1(1), 3-18.

Fraser, H. (2000). Coordinating improvements in pronunciation teaching for adult learners of English as a second language. Department of Education, Training and Youth Affairs, Canberra, Australia.

Gilakjani, A. P. (2016). English pronunciation instruction: A literature review. International Journal of Research in English Education, 1(1), 1-6.

Horwitz, E. K., Horwitz, M. B., & Cope, J. (1986). Foreign language classroom anxiety. The Modern Language Journal, 70(2), 125-132.

Liakin, D., Cardoso, W., & Liakina, N. (2017). Mobilizing pronunciation teaching: Using visual feedback on vowels with an English pronunciation app. Language Learning & Technology, 21(1), 31-50.

Lyster, R., & Ranta, L. (1997). Corrective feedback and learner uptake. Studies in Second Language Acquisition, 19(1), 37-66.

Neri, A., Cucchiarini, C., Strik, H., & Boves, L. (2008). The effectiveness of computer-based speech feedback for pronunciation training. Applied Linguistics, 29(4), 533-554.

Saito, K., & Lyster, R. (2012). Effects of form-focused instruction and corrective feedback on L2 pronunciation development. Studies in Second Language Acquisition, 34(4), 591-626.