AI AS A TOOL FOR SHAPING A STUDENT'S LINGUISTIC PERSONALITY: OPPORTUNITIES AND LIMITATIONS.

Аннотация

The article highlights the positive and negative sides of the introduction of AI in the formation of a student's linguistic personality. The modern problems posed by the research emphasize the strengths of AI-tools such as adaptability, accessibility, imitation of speech interaction, as well as the development of a number of cognitive and pragmatic skills. Along with this, there are negative risks associated with superficial language acquisition, sociocultural imbalance, long-term addiction, and lack of emotional contextuality. The author provides a justification for the pedagogical adequate approach to the use of AI tools in language education with the advanced task of serving as auxiliary rather than substitute.

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Келдиярова S. . (2025). AI AS A TOOL FOR SHAPING A STUDENT’S LINGUISTIC PERSONALITY: OPPORTUNITIES AND LIMITATIONS. Журнал мультидисциплинарных наук и инноваций, 1(6), 621–624. извлечено от https://www.inlibrary.uz/index.php/jmsi/article/view/136209
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Аннотация

The article highlights the positive and negative sides of the introduction of AI in the formation of a student's linguistic personality. The modern problems posed by the research emphasize the strengths of AI-tools such as adaptability, accessibility, imitation of speech interaction, as well as the development of a number of cognitive and pragmatic skills. Along with this, there are negative risks associated with superficial language acquisition, sociocultural imbalance, long-term addiction, and lack of emotional contextuality. The author provides a justification for the pedagogical adequate approach to the use of AI tools in language education with the advanced task of serving as auxiliary rather than substitute.


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AI AS A TOOL FOR SHAPING A STUDENT'S LINGUISTIC PERSONALITY:

OPPORTUNITIES AND LIMITATIONS.

Shakhrizoda Keldiyarova

Kimyo international University in Tashkent

Abstract:

The article highlights the positive and negative sides of the introduction of AI in the

formation of a student's linguistic personality. The modern problems posed by the research

emphasize the strengths of AI-tools such as adaptability, accessibility, imitation of speech

interaction, as well as the development of a number of cognitive and pragmatic skills. Along

with this, there are negative risks associated with superficial language acquisition, sociocultural

imbalance, long-term addiction, and lack of emotional contextuality. The author provides a

justification for the pedagogical adequate approach to the use of AI tools in language education

with the advanced task of serving as auxiliary rather than substitute.

Keywords:

AI, linguistic personality, AI in education, intercultural communication, linguistic

autonomy, ChatGPT, cognitive development, language practice.
In the context of the rapid progress of digital technologies and, as a result, the active introduction

of intelligent systems based on machine learning, traditional approaches to teaching foreign

languages are undergoing significant changes. Previously, only teachers, textbooks, and live

practice served as means of language experience. Nowadays, students are increasingly using

programs that can simulate speech situations, provide instant feedback, and maintain coherent

communication. ChatGPT, Duolingo, Google Gemini and a number of others are gradually

transforming from auxiliary tools into active participants in the educational process. There is a

need to investigate their impact not only on the level of language competence, but also on more

complex psycholinguistic phenomena, in particular on the development of a student's linguistic

identity. This goes beyond simple communication. This refers to the development of a subject

who is able not only to use language, but also to interpret, re-conceptualize and culturally adapt it

within a variety of sociolinguistic contexts. Therefore, this poses a challenge for modern

pedagogy: is it possible for artificial intelligence to participate in such a complex process of

language identity formation, and if so, to what extent, with what capabilities, and what

limitations?

The concept of linguistic personality is a key one in the fields of linguistics, intercultural

communication and modern approaches to teaching foreign languages. As defined by Y. N.

Karaulov (1987), a linguistic personality is a multi—layered system with three main components:

verbal-semantic (language skills), cognitive (a system of knowledge about the world) and

motivational-pragmatic (values, goals, attitudes). According to his interpretation, a linguistic

personality is a carrier of individual linguistic consciousness, which can participate in speech

acts in a wide socio-cultural context. V. V. Krasnykh (2001) emphasizes that the development of

a linguistic personality is possible only in a dialogue of cultures and through lively interpersonal

communication, and not through the mechanical assimilation of linguistic norms.

In the West, there is more talk about the dynamic, socially constructed nature of linguistic

identity than about fixed approaches. Claire Kramsch (1998) identifies linguistic personality as

an initial product that arises from the interaction of language, culture, and individual experience.

She notes that language learning is not a simple skill, but a process of "re—creating" a


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personality in a different linguistic and cultural world. Rod Ellis (2003) also emphasizes that the

formation of a linguistic personality has little to do with mastering the structure of language and

is more related to the assimilation of norms and communication strategies that allow the student

to fully participate in intercultural relations.

In recent years, the focus of research has shifted to digital and technological aspects of language

personality formation. In her work on mobile-assisted language learning, Kukulska-Hulme (2020)

focuses on the role of digital intermediaries, including AI, in expanding a student's language

experience. At the same time, as she points out, technology can influence the formation of

linguistic identity only if the relationship with technology is meaningful, reflective and personal.

Liu & Zhang (2023), in the context of learning English by Chinese students, note that

communication with AI promotes increased confidence and activity in speech, but does not

replace the social and cultural experience of communication.

Consequently, the linguistic personality is considered as a complex phenomenon assimilating

linguistic knowledge, socio-cultural attitudes, as well as personal reflections. This understanding

raises the question of the possibilities of artificial intelligence as an educational tool.: is it

capable of influencing such a multifaceted phenomenon, or is its role limited to mechanical

assistance?

Today, the available artificial intelligence-based tools provide significantly more opportunities

for creating and developing a student's linguistic personality. Generative models, such as

ChatGPT, Claude, or Gemini, can substitute for natural speech interaction, creating the

impression of a conversation with a live interlocutor. This is especially important in the initial

and middle stages of language personality formation, when constant practice, emotional support

and instant feedback are required. According to Tegos, Demetriadis & Papadopoulos (2021), AI

can serve as an educational agent capable of adapting conversation to the user's level, while

contributing to the development of cognitive and pragmatic discourse strategies.

The use of AI in learning has demonstrated positive dynamics in a number of empirical studies.

For example, students who used ChatGPT as a conversational practice training partner in the

study by Ahmad et al. (2023) demonstrated increased confidence in oral speech, expanded

thematic vocabulary, and reduced anxiety during public speaking. A similar result was observed

in the work of Wu, Yuan & Lin (2022), where students from China used AI to prepare written

assignments: according to the results of the semester, they showed a higher level of development

of coherence and argumentation compared with the control group.

Another important aspect is the formation of a motivational component. According to a study by

Kukulska-Hulme et al. (2020), students who regularly interact with AI show greater

independence in language practice, turn to additional sources more often, and feel more involved

in the process. This is because AI provides a safe and uncritical space in which learners can

experiment with language without fear of being ridiculed or misunderstood — an essential

condition for developing language initiative and autonomy.

Tools based on artificial intelligence can also be valuable in developing sociocultural

competencies. For example, applications such as Replica or Bard from Google allow you to

model dialogues, where it simulates the communicative behavior of different cultures, explains

pragmatics and interprets cultural norms. As Li & Teng (2023) point out, these features are

especially useful for students who study in a multilingual environment without opportunities for

lively intercultural interaction.

In addition, AI can contribute to the formation of a student's reflexive attitude. When properly

integrated into the learning process, it can not only suggest "how to do it right", but also explain

why a particular language construct is appropriate or inappropriate in a given context. This

brings AI closer to the function of a metacognitive tool that engages learners in conscious

language behavior, which is an important criterion for a mature language personality (Byrnes,

2010).

As a result, with the modern use of AI, it becomes possible to effectively maintain the verbal-

semantic, cognitive, and even partially socio-cultural level of the student's linguistic personality.


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However, with all the power of these tools, it is important to be aware of the risks that may arise

from their uncritical use. Let's talk about it in this section.

Despite the obvious advantages, the use of artificial intelligence in teaching a foreign language is

fraught with a number of limitations and potential risks, especially if we consider the process

through the prism of language personality formation. First of all, AI is not a subject of

communication, but an algorithm trained on huge amounts of texts, devoid of personal

experience, cultural sense and intentionality. As V. V. emphasizes. Safonova (2016), the

formation of a full—fledged linguistic personality is possible only in conditions of lively

interpersonal communication, including emotional empathy, reaction to nonverbal signals,

understanding cultural nuances - something that is still beyond the reach of even the most

advanced language models.

Moreover, AI is still poorly versed in context, especially from an intercultural perspective.

Kasneci et al. (2023) point out the possibility of generating culturally inappropriate, stylistically

inappropriate texts, despite grammatical and logical correctness. This approach poses a serious

danger when teaching pragmatic competence, one of the most important components of

linguistic personality according to the classification of Celce-Murcia et al. (1995). Students can

unwittingly borrow speech cliches without noticing their social labeling, which, in turn, leads to

the formation of a "synthetic" linguistic identity, far from sincere communicative behavior.

The risk of superficial assimilation of the material is also a significant concern. In a study by

Park, Son & Kim noted that students using AI to generate texts demonstrate a low level of

linguistic awareness – they copy sentences without analyzing their structure, and are unable to

independently use similar constructions in other contexts. This leads to passive language

consumption and a weakening of internal motivation, which contradicts the idea of the active

formation of a linguistic personality as a subject of communication.

Ethical and psychological issues deserve special attention. With excessive dependence on

modern technologies, the student runs the risk of losing a sense of responsibility for the result of

his work, which prevents the formation of an autonomous personality capable of self-expression

and critical thinking. Kukulska-Hulme (2023) emphasizes that technology should serve as an

extension of learning opportunities rather than a substitute for speech activity. Without teacher

monitoring and metacognitive control, the use of AI can lead to the formation of a receptive

rather than a productive linguistic personality.

Thus, AI is not able to completely replace the active social environment and emotional

interactions in which an adult language identity is formed, despite its great capabilities. Its role

should be considered as auxiliary, aimed at expanding the language experience, but not as a

universal means of language development.

Ultimately, artificial intelligence is a significant auxiliary tool in the formation of the learner's

linguistic personality, and especially in the initial and intermediate phases of learning a foreign

language. The advantages of AI are its ability to simulate speech interaction, adapt content to the

required level of the learner, and create a safe environment for practice. With the proper

integration of pedagogical approaches, AI can develop the verbal-semantic, cognitive and

pragmatic level of learners' linguistic personality, increasing their motivation to learn a language.

As research has shown, the potential of AI is not comprehensive. The lack of emotional

intelligence, deep understanding of the socio-cultural context and reflexive intention limits AI. In

addition, excessive dependence on algorithmic solutions can lead to a decrease in linguistic

autonomy, the formation of superficial knowledge and imitation of linguistic activity without

real mastery of the means of communication. These risks require meaningful pedagogical

support, a critical approach, and the development of ethical standards when using AI in an

educational environment.

In the future, AI will be an important component of the developing language environment, but its

effectiveness will depend on measures aimed at targeted, informed and informed integration into

the learning system. The formation of a linguistic personality is the formation of a person as a

subject of speech and cultural activity. Within this process, technologies without emotions,


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animating interpersonal interaction, are not able to bypass the imaginary boundary of live

communication, where genuine linguistic individuality manifests itself.

References

1.Ahmad, M. A., Lim, C. L., & Chan, Y. F. (2023). The Effectiveness of AI-based Chatbots in

Enhancing ESL Speaking Confidence. Journal of Language Teaching and Research, 14(2), 312–

319.

2.Byrnes, H. (2010). Reconceptualizing Language Learning: Language as Meaning-making

Resource. The Modern Language Journal, 94(2), 278–284.

3. Celce-Murcia, M., Dörnyei, Z., & Thurrell, S. (1995). Communicative Competence: A

Pedagogically Motivated Model with Content Specifications. Issues in Applied Linguistics, 6(2),

5–35.

4.Kasneci, E., Sessler, K., Kühl, N. et al. (2023). ChatGPT for Good? On Opportunities and

Challenges of Large Language Models for Education. Learning and Individual Differences, 103,

102274.

5.Kukulska-Hulme, A. (2023). AI and Language Learning: Friend or Foe? ReCALL, 35(1), 1–12.

6.Kukulska-Hulme, A., Lee, H., & Norris, L. (2020). Mobile and Intelligent Language Learning:

How Artificial Intelligence Supports Learners. Cambridge Handbook of Technology and

Language Learning, 60–75.

7.Li, X., & Teng, F. (2023). Cultural Awareness through AI-supported Simulations: A Pathway

to Intercultural Competence. Language Learning & Technology, 27(1), 45–64.

8. Park, S. H., Son, J., & Kim, E. (2023). Overreliance on AI Tools and the Decline of Language

Awareness in EFL Students. Computers & Education, 190, 104637.

9. Safonova, V. V. (2016). Linguistic Personality as a Subject of Lingvodidactic Analysis.

Moscow University Bulletin. Series 19: Linguistics and Intercultural Communication, 2, 3–11.

10. Tegos, S., Demetriadis, S. N., & Papadopoulos, P. M. (2021). AI Dialogue Agents as

Scaffolds in Language Learning: A Systematic Review. Computer Assisted Language Learning,

34(1–2), 1–27.

11.Wu, X., Yuan, Q., & Lin, Y. (2022). The Role of AI-based Feedback in Improving EFL

Writing Skills. ELT Journal, 76(3), 320–329.

Библиографические ссылки

Ahmad, M. A., Lim, C. L., & Chan, Y. F. (2023). The Effectiveness of AI-based Chatbots in Enhancing ESL Speaking Confidence. Journal of Language Teaching and Research, 14(2), 312–319.

Byrnes, H. (2010). Reconceptualizing Language Learning: Language as Meaning-making Resource. The Modern Language Journal, 94(2), 278–284.

Celce-Murcia, M., Dörnyei, Z., & Thurrell, S. (1995). Communicative Competence: A Pedagogically Motivated Model with Content Specifications. Issues in Applied Linguistics, 6(2), 5–35.

Kasneci, E., Sessler, K., Kühl, N. et al. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. Learning and Individual Differences, 103, 102274.

Kukulska-Hulme, A. (2023). AI and Language Learning: Friend or Foe? ReCALL, 35(1), 1–12.

Kukulska-Hulme, A., Lee, H., & Norris, L. (2020). Mobile and Intelligent Language Learning: How Artificial Intelligence Supports Learners. Cambridge Handbook of Technology and Language Learning, 60–75.

Li, X., & Teng, F. (2023). Cultural Awareness through AI-supported Simulations: A Pathway to Intercultural Competence. Language Learning & Technology, 27(1), 45–64.

Park, S. H., Son, J., & Kim, E. (2023). Overreliance on AI Tools and the Decline of Language Awareness in EFL Students. Computers & Education, 190, 104637.

Safonova, V. V. (2016). Linguistic Personality as a Subject of Lingvodidactic Analysis. Moscow University Bulletin. Series 19: Linguistics and Intercultural Communication, 2, 3–11.

Tegos, S., Demetriadis, S. N., & Papadopoulos, P. M. (2021). AI Dialogue Agents as Scaffolds in Language Learning: A Systematic Review. Computer Assisted Language Learning, 34(1–2), 1–27.

Wu, X., Yuan, Q., & Lin, Y. (2022). The Role of AI-based Feedback in Improving EFL Writing Skills. ELT Journal, 76(3), 320–329.