INTEGRATING CHATGPT AS A LISTENING ASSISTANT IN SECONDARY EFL CLASSES: BENEFITS AND LIMITATIONS

Annotasiya

The integration of Artificial Intelligence (AI) technologies such as ChatGPT into English as a Foreign Language (EFL) classrooms offers new possibilities for enhancing listening comprehension and learner engagement. This paper explores the pedagogical value and limitations of using ChatGPT as a listening assistant in secondary EFL classes, with a focus on the Uzbek educational context. ChatGPT, when combined with text-to-speech or speech recognition tools, provides opportunities for real-time, interactive listening practice, allowing learners to engage in simulated conversations, receive immediate clarification, and adjust the complexity of input based on their proficiency. These features promote learner autonomy, metacognitive strategy use, and increased exposure to English input in a low-anxiety environment. However, several limitations exist, including a lack of natural prosody, challenges in simulating authentic discourse, and infrastructural constraints in under-resourced schools. Additionally, the overuse of AI-generated content without pedagogical mediation can hinder critical thinking and pragmatic development. The study concludes that when integrated into a blended learning approach—alongside teacher guidance and authentic materials—ChatGPT can be a valuable tool in supporting listening development in EFL learners, provided that digital literacy and access barriers are addressed.

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Bakhramova , M. (2025). INTEGRATING CHATGPT AS A LISTENING ASSISTANT IN SECONDARY EFL CLASSES: BENEFITS AND LIMITATIONS. Xalqaro Ilm-Fan Jurnali, 3(1), 76–78. Retrieved from https://inlibrary.uz/index.php/ijsci/article/view/131181
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Annotasiya

The integration of Artificial Intelligence (AI) technologies such as ChatGPT into English as a Foreign Language (EFL) classrooms offers new possibilities for enhancing listening comprehension and learner engagement. This paper explores the pedagogical value and limitations of using ChatGPT as a listening assistant in secondary EFL classes, with a focus on the Uzbek educational context. ChatGPT, when combined with text-to-speech or speech recognition tools, provides opportunities for real-time, interactive listening practice, allowing learners to engage in simulated conversations, receive immediate clarification, and adjust the complexity of input based on their proficiency. These features promote learner autonomy, metacognitive strategy use, and increased exposure to English input in a low-anxiety environment. However, several limitations exist, including a lack of natural prosody, challenges in simulating authentic discourse, and infrastructural constraints in under-resourced schools. Additionally, the overuse of AI-generated content without pedagogical mediation can hinder critical thinking and pragmatic development. The study concludes that when integrated into a blended learning approach—alongside teacher guidance and authentic materials—ChatGPT can be a valuable tool in supporting listening development in EFL learners, provided that digital literacy and access barriers are addressed.


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INTEGRATING CHATGPT AS A LISTENING ASSISTANT IN SECONDARY EFL

CLASSES: BENEFITS AND LIMITATIONS

Baxramova Malika Muzaffarovna

Urgench State Pedagogical Institute

Abstract:

The integration of Artificial Intelligence (AI) technologies such as ChatGPT into

English as a Foreign Language (EFL) classrooms offers new possibilities for enhancing listening

comprehension and learner engagement. This paper explores the pedagogical value and

limitations of using ChatGPT as a listening assistant in secondary EFL classes, with a focus on the

Uzbek educational context. ChatGPT, when combined with text-to-speech or speech recognition

tools, provides opportunities for real-time, interactive listening practice, allowing learners to

engage in simulated conversations, receive immediate clarification, and adjust the complexity of

input based on their proficiency. These features promote learner autonomy, metacognitive

strategy use, and increased exposure to English input in a low-anxiety environment. However,

several limitations exist, including a lack of natural prosody, challenges in simulating authentic

discourse, and infrastructural constraints in under-resourced schools. Additionally, the overuse of

AI-generated content without pedagogical mediation can hinder critical thinking and pragmatic

development. The study concludes that when integrated into a blended learning approach—

alongside teacher guidance and authentic materials—ChatGPT can be a valuable tool in

supporting listening development in EFL learners, provided that digital literacy and access

barriers are addressed.

Keywords :

ChatGPT, listening instruction, EFL learners, secondary education, artificial

intelligence in education, AI-assisted learning, listening comprehension, digital pedagogy, learner

autonomy, Uzbekistan.

The integration of conversational Artificial Intelligence (AI) tools such as ChatGPT into English

as a Foreign Language (EFL) classrooms has opened new pedagogical pathways, especially in

developing learners’ listening comprehension and interactive skills. While ChatGPT is

predominantly known as a text-based AI model, recent advancements in multimodal and speech-

enabled versions have enabled it to serve as a listening assistant, simulating conversational

listening practice and interactive dialogues. This article explores the benefits and limitations of

incorporating ChatGPT as a listening assistant in secondary EFL classes, with a focus on the

Uzbek educational context where digital transformation is emerging and pedagogical innovations

are being gradually embraced.

One of the most significant benefits of using ChatGPT as a listening assistant is the availability of

authentic and adaptive conversational practice. Traditional listening materials often lack

interactivity and are based on static audio recordings that offer little room for learner response or

feedback. In contrast, ChatGPT allows learners to engage in dynamic interactions, where they can

ask questions, clarify meanings, and even receive tailored explanations. When integrated with

speech recognition software or paired with text-to-speech features, ChatGPT can simulate spoken

conversations, providing learners with both input and output opportunities essential for listening

development.

Another key advantage lies in ChatGPT’s responsiveness and flexibility. The AI can adjust its

language complexity, speed, and topic based on the learner’s proficiency level. For secondary

school learners in Uzbekistan, who may have limited exposure to spoken English outside the


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classroom, this provides a scalable and learner-centered method for listening practice. ChatGPT

can act as a supportive environment for low-stakes listening rehearsal, reducing learners’ anxiety

and boosting confidence before engaging in formal assessments or real-life communication.

ChatGPT also supports the development of metacognitive listening strategies. For example, when

students are confused or unable to understand a segment, they can request ChatGPT to repeat,

rephrase, or summarize content. This facilitates active listening behaviors such as self-monitoring

and clarification-seeking, which are essential for becoming autonomous language learners. In this

way, the model not only serves as a tool for language exposure but also trains learners in

strategies to manage and repair communication breakdowns.

However, integrating ChatGPT as a listening assistant is not without its limitations. One critical

concern is the absence of natural human voice and prosody in many applications, especially when

learners use only the text interface. While text-to-speech technology can convert ChatGPT’s

responses into audio, these voices may still lack natural intonation, emotional variation, and

cultural nuance found in authentic speech. As a result, students may miss the opportunity to

develop advanced listening skills related to tone, sarcasm, or emotion recognition, which are

crucial in real-life communication.

Moreover, ChatGPT may not always accurately simulate authentic spoken discourse. Its responses

are often grammatically clean and structurally formal, differing from the fragmented, idiomatic,

and interactive features of real conversation. For Uzbek learners who need exposure to informal

or regional varieties of English, reliance on ChatGPT alone may create a gap in pragmatic

competence. Teachers, therefore, need to balance ChatGPT-based practice with exposure to real

human interactions through videos, podcasts, or in-class dialogues.

Technical and infrastructural challenges also limit the widespread adoption of ChatGPT in Uzbek

secondary schools. Many institutions still lack sufficient internet access, computer labs, or

personal student devices. Moreover, there is a digital literacy gap among teachers and students

alike, which may hinder the effective and safe use of AI tools. Without proper training and

guidance, learners may use ChatGPT passively or for irrelevant tasks, reducing its instructional

value. Ensuring safe, pedagogically-aligned, and age-appropriate use of ChatGPT requires clear

policy frameworks and teacher support.

Another pedagogical concern is the risk of overreliance on AI-generated content. ChatGPT may

occasionally provide oversimplified or factually incorrect information, especially in complex or

ambiguous language contexts. Teachers must act as mediators who guide students in critically

evaluating AI outputs, distinguishing between correct and misleading information, and fostering

digital discernment. Developing these critical AI literacy skills should be part of a broader digital

citizenship curriculum.

Despite these limitations, the potential of ChatGPT to transform listening instruction in EFL

classrooms remains substantial. Its ability to offer endless conversational practice, adapt to learner

needs, and support interactive listening strategies makes it a valuable supplementary tool. For

optimal integration, it is recommended that ChatGPT be used in blended formats—combined with

teacher-led instruction, peer collaboration, and real-world audio content. Teachers should receive

training in designing AI-enhanced tasks, such as listening quizzes based on AI interactions,

pronunciation shadowing with AI feedback, or role-playing exercises with ChatGPT as a virtual

character.


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In conclusion, the use of ChatGPT as a listening assistant in secondary EFL classes offers both

pedagogical promise and practical challenges. When thoughtfully integrated, it can enrich the

listening experience, promote learner autonomy, and supplement traditional instruction. However,

to maximize its educational value, educators and policymakers must address technological gaps,

provide teacher training, and ensure that AI tools are used to complement—not replace—human

interaction and authentic communication experiences. As technology continues to evolve, its

alignment with educational goals will determine its long-term impact on language learning in

Uzbekistan and beyond.

References:

1.

Godwin-Jones, R. (2021).

AI and big data in language education: Realities and

expectations. Language Learning & Technology, 25(3), 1–12.

— Provides an overview of AI's educational impact and practical applications in language

learning.

2.

Li, V., & Warschauer, M. (2020).

Emerging technologies and language learning: AI

applications in listening comprehension. Language Learning & Technology, 24(3), 1–15.

— Focuses on how AI can aid in listening and comprehension for EFL learners.

3.

Reinders, H., & White, C. (2016).

20 years of autonomy and technology: How far have

we come and where to next?. Language Learning & Technology, 20(2), 143–154.

— Discusses learner autonomy and technological tools in language education.

4.

Kukulska-Hulme, A. (2020).

Mobile-assisted language learning and AI: Future directions.

ReCALL, 32(3), 245–264.

— Explores how mobile and AI technologies are shaping language learning practices.

5.

Suvorov, R. (2020).

Automated feedback and conversational agents in language

assessment. Language Testing, 37(4), 547–567.

— Analyzes AI tools' accuracy and usefulness in language learning and feedback.

6.

Hockly, N. (2018).

Focus on artificial intelligence. ELT Journal, 72(4), 400–403.

— Provides practical insights into AI use in ELT classrooms.

7.

Yuldasheva, M. & Nazarov, B. (2021).

Digital tools in EFL education in Uzbekistan:

Usage and perceptions. Tashkent Journal of Applied Linguistics, 5(1), 33–48.

— Offers context-specific findings on digital learning in Uzbekistan’s EFL settings.

8.

Shute, V. J. (2008).

Focus on formative feedback. Review of Educational Research, 78(1),

153–189.

— Explores feedback mechanisms and their role in learner development.

9.

Dörnyei, Z. (2001).

Motivational Strategies in the Language Classroom. Cambridge

University Press.

— Discusses motivation and learner engagement in classroom settings.

10.

UNESCO (2022).

Artificial Intelligence and Education: A guide for policy-makers. Paris:

UNESCO Publishing.

— Recommends policies and ethical considerations for AI integration in education.

Bibliografik manbalar

Godwin-Jones, R. (2021). AI and big data in language education: Realities and expectations. Language Learning & Technology, 25(3), 1–12.

— Provides an overview of AI's educational impact and practical applications in language learning.

Li, V., & Warschauer, M. (2020). Emerging technologies and language learning: AI applications in listening comprehension. Language Learning & Technology, 24(3), 1–15.

— Focuses on how AI can aid in listening and comprehension for EFL learners.

Reinders, H., & White, C. (2016). 20 years of autonomy and technology: How far have we come and where to next?. Language Learning & Technology, 20(2), 143–154.

— Discusses learner autonomy and technological tools in language education.

Kukulska-Hulme, A. (2020). Mobile-assisted language learning and AI: Future directions. ReCALL, 32(3), 245–264.

— Explores how mobile and AI technologies are shaping language learning practices.

Suvorov, R. (2020). Automated feedback and conversational agents in language assessment. Language Testing, 37(4), 547–567.

— Analyzes AI tools' accuracy and usefulness in language learning and feedback.

Hockly, N. (2018). Focus on artificial intelligence. ELT Journal, 72(4), 400–403.

— Provides practical insights into AI use in ELT classrooms.

Yuldasheva, M. & Nazarov, B. (2021). Digital tools in EFL education in Uzbekistan: Usage and perceptions. Tashkent Journal of Applied Linguistics, 5(1), 33–48.

— Offers context-specific findings on digital learning in Uzbekistan’s EFL settings.

Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78(1), 153–189.

— Explores feedback mechanisms and their role in learner development.

Dörnyei, Z. (2001). Motivational Strategies in the Language Classroom. Cambridge University Press.

— Discusses motivation and learner engagement in classroom settings.

UNESCO (2022). Artificial Intelligence and Education: A guide for policy-makers. Paris: UNESCO Publishing.

— Recommends policies and ethical considerations for AI integration in education.