SOCIOLINGUISTIC IDENTITIES AND LANGUAGE LEARNING IN MULTILINGUAL CLASSROOMS. A CASE STUDY IN UZBEKISTAN

INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS Volume 02, Issue 09, 2025 34 INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS universalconference.us SOCIOLINGUISTIC IDENTITIES AND LANGUAGE LEARNING IN MULTILINGUAL CLASSROOMS. A CASE STUDY IN UZBEKISTAN Gulamol Kulieva MA student Webster University in Tashkent Email: [email protected] Annotation. This article presents a sociolinguistic examination of multilingual students enrolled in an urban public school in Uzbekistan. The study investigates how variables such as age, gender, ethnicity, and socioeconomic background shape learners’ language behavior, code-switching tendencies, and classroom engagement. Furthermore, this paper explores the integration of Artificial Intelligence (AI) tools in analyzing sociolinguistic identities among multilingual learners. Building upon previous qualitative research, this study incorporates Natural Language Processing (NLP) and AI-based discourse analysis to examine how variables such as age, gender, ethnicity, and socioeconomic status influence students’ linguistic behavior, codeswitching, and classroom interaction. The findings highlight the value of AI in enhancing data accuracy, interpreting language variation, and supporting culturally responsive teaching strategies.By analyzing subgroup profiles and individual learner characteristics, the paper highlights how linguistic identity and social positioning intersect with English language learning. Additionally, the findings emphasize the significance of culturally responsive pedagogy and differentiated assessment practices in linguistically diverse classrooms. This study contributes to the growing discourse on equity in multilingual education and offers practical insights for language instructors working with diverse student population. Uzbek. Annotatsiya. Ushbu maqola O‘zbekistondagi shahardagi davlat maktabida tahsil olayotgan ko‘p tilli o‘quvchilarning sotsiolingvistik holatini tahlil qiladi. Tadqiqotda yosh, jins, etnik mansublik va ijtimoiy-iqtisodiy sharoit kabi omillarning o‘quvchilarning tilga oid xatti-harakatlari, kod-almashish tendensiyalari va dars jarayonidagi faolligiga qanday ta’sir ko‘rsatishi o‘rganiladi. Bundan tashqari, ushbu maqolada sun’iy intellekt (SI) vositalarining ko‘p tilli o‘quvchilarning sotsiolingvistik identitetini tahlil qilishdagi qo‘llanilishi o‘rganiladi. Avvalgi sifatli tadqiqotlar asosida, mazkur ishda tabiiy tilni qayta ishlash (Natural Language Processing – NLP) va SI asosidagi diskurs tahlili metodlari qo‘llanilib, yosh, jins, etnik mansublik va ijtimoiyiqtisodiy holat kabi omillarning o‘quvchilarning tilga oid xatti-harakatlari, kodalmashish holatlari va sinfdagi muloqot jarayoniga qanday ta’sir ko‘rsatishi chuqur INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS Volume 02, Issue 09, 2025 35 INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS universalconference.us tahlil qilinadi. Subguruhlar va individual o‘quvchilar profili orqali tilshunoslik identiteti va ijtimoiy mavqe ingliz tilini o‘rganish jarayonida qanday kesishishini ko‘rsatadi. Maqola madaniy jihatdan mos o‘quv metodikasi va differensial baholash yondashuvlarining ko‘p tilli sinflarda naqadar muhimligini ta’kidlaydi. Bu tadqiqot ko‘p tillilik bo‘yicha adabiyotlar bazasini boyitadi va xilma-xil o‘quvchilar bilan ishlayotgan til o‘qituvchilari uchun amaliy tavsiyalar beradi. Russian. Данная статья представляет собой социолингвистическое исследование многоязычных учащихся, обучающихся в государственной школе в городском районе Узбекистана. В работе рассматривается, как такие социальные факторы, как возраст, пол, этническая принадлежность и социально-экономическое положение, влияют на языковое поведение учеников, их склонность к переключению кодов и участие в учебном процессе. Кроме того, в данной статье рассматривается применение инструментов искусственного интеллекта (ИИ) для анализа социолингвистической идентичности многоязычных учащихся. Основываясь на предыдущих качественных исследованиях, автор использует методы обработки естественного языка (Natural Language Processing — NLP) и ИИ-ориентированный дискурс-анализ для всестороннего изучения того, как такие факторы, как возраст, пол, этническая принадлежность и социальноэкономический статус, влияют на языковое поведение учащихся, их склонность к переключению кодов и взаимодействие в учебной аудитории. Анализируя характеристики отдельных учащихся и подгрупп, автор демонстрирует, как языковая идентичность переплетается с процессом изучения английского языка. Результаты подчеркивают важность культурно адаптированного преподавания и дифференцированной оценки в условиях лингвистического многообразия. Исследование вносит вклад в развитие инклюзивного подхода в многоязычном образовании и предлагает практические рекомендации для преподавателей, работающих с разноязычными группами учащихся. Key Words: Artificial Intelligence, Multilingualism, Sociolinguistic identity, Language acquisition, Code-switching, Gender and language, Classroom discourse, Ethnicity and language use, Culturally responsive teaching, Urban education, Language assessment. Uzbek. Kalit so‘zlar:Sun’iy Intellekt, ko‘p tillilik, Sotsiolingvistik identitet, Til o‘rganish, Kod-almashish, Jins va til, Etniklik va til ishlatilishi, Moslashtirilgan ta’lim, Shahar maktabi, Til baholash INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS Volume 02, Issue 09, 2025 36 INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS universalconference.us Russian. искусственного интеллекта, многоязычие, Социолингвистическая идентичность, Изучение языка, Переключение кодов, Язык и гендер, Этническая принадлежность, Инклюзивное обучение, Городское образование, Оценка языковых навыков Introduction. Language constitutes a core component of human interaction, enabling individuals to communicate ideas, feelings, and viewpoints. Sociolinguistics, an academic discipline that investigates how social contexts shape language, significantly enhances our comprehension of the multifaceted connections between language and society. The current study examines numerous sociolinguistic elements—including socioeconomic status, gender identity, ethnic background, and geographical dialects— that influence linguistic behavior and communication styles. By examining the nuanced relationships between language practices and social structures, this research seeks to enhance awareness of how linguistic variation contributes positively to cultural richness, while simultaneously recognizing the complexities and potentials inherent in managing diverse linguistic environments. According to Wardhaugh and Fuller (2015), language variations among individuals are shaped by several determinants such as geographical location, socioeconomic conditions, ethnicity, and generational differences. Traditionally, studies have relied on qualitative ethnographic tools, but Artificial Intelligence (AI) now offers powerful mechanisms to analyze, visualize, and interpret complex linguistic data. Recent advances in AI—particularly in Natural Language Processing (NLP)—allow researchers to detect patterns in speech, track accent shifts, and even measure emotional tone in communication. By incorporating AI-based analytics into sociolinguistic research, this study aims to enrich traditional observations with computational insights, offering more precise and scalable interpretations of learners' linguistic behaviors. Methods. To explore the sociolinguistic characteristics of the learners, a qualitative case study methodology was utilized. The research sample included students attending a public school located in an urban area of Tashkent, Uzbekistan. Participants were categorized into two distinct subgroups, taking into account variables such as age, gender, ethnicity, and socio-economic standing. Data were gathered through multiple methods, including direct classroom observation, student interviews, and contextual analysis of their language practices. The examination of learner profiles was guided by key sociolinguistic dimensions, including: 1) Age 2) Native or primary language INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS Volume 02, Issue 09, 2025 37 INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS universalconference.us 3) Gender identity 4) Regional affiliation 5) Ethnic background 6) Economic status 7) Multilingual competence 8) Patterns of code-switching 9) Accentual tendencies 10) Development of linguistic identity In addition, the following AI-based tools were utilized: NLP Analysis: Transcripts of students’ classroom interactions were analyzed using AI tools (e.g., Google Cloud NLP and ChatGPT API) to identify syntactic, lexical, and discourse-level features. Accent Detection: AI software (e.g., DeepSpeech) was used to assess accent variations, particularly Uzbekor Russian-influenced English pronunciation. Sentiment Analysis: Emotional tone in students’ oral responses was evaluated using Python-based sentiment libraries to understand motivation and engagemen The language behavior and contributing sociolinguistic factors for each group were documented through systematic observation of their classroom behavior and reflective personal accounts. This analysis was further enriched by theoretical perspectives from scholars such as Wardhaugh & Fuller (2015), Eckert (2003), and Schilling (2011). Participants. Sociolinguistic Characteristics of Subgroup 1 Age Group: INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS Volume 02, Issue 09, 2025 38 INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS universalconference.us This subgroup comprises adolescents aged between 12 and 14 years. Linguistic Background: Learners in this group possess a solid grounding in their first language, Kazakh, along with considerable exposure to both Russian and Uzbek. Their multilingual competence has been shaped not only through formal education but also via familial and community influences. As Hudson (1996) notes, “linguistic traits help define specific social configurations,” underscoring the role of environment in shaping their language practices. Home Language Use: The primary languages spoken at home include Kazakh, Russian, Uzbek, and some exposure to English. This multilingual setting has facilitated the development of diverse language skills. Gender and Language Use: The group is composed entirely of male students. Wardhaugh and Fuller emphasize that examining the intersection of language, gender, and identity has become a critical area in sociolinguistics. Building on the foundational work of Lakoff and subsequent variationist studies (Schilling, 2011), male speakers—such as those in this subgroup— often display higher tendencies toward non-standard speech forms, such as the omission of final consonants (e.g., swimmin’ instead of swimming). Adolescent Language Features: Research on phonological and grammatical variation (Eckert, 2003) shows that adolescents often lead innovation in vernacular usage, disrupting typical age-related linguistic patterns. In line with this, Subgroup 1 students exhibit speech patterns that diverge from their family’s native Kazakh and increasingly reflect peer-influenced varieties, including Russian and Uzbek. Cultural and Ethnic Identity: These students identify ethnically as Kazakh and are part of the broader Asian demographic. Although they live in Tashkent, Uzbekistan, they maintain strong transnational identities, navigating both Kazakh and Uzbek cultural spheres. Sanchez and Kasun (2012) describe such students as embodying multiple cultural identities— physically, emotionally, and socially connected to more than one culture. Ethnic-Linguistic Dynamics: Bucholtz explains that language use often acts as a marker of ethnic affiliation. In the case of Subgroup 1, while they are ethnically Asian, they lack access to a racially distinct English variety due to limited immersion in English-speaking communities, which restricts their acquisition of such features. Socioeconomic Background: INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS Volume 02, Issue 09, 2025 39 INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS universalconference.us The students in this subgroup are from families with moderate financial means. Their linguistic development is influenced both by their socioeconomic conditions and by the multilingual, multicultural environment they inhabit. Subgroup 1 ( Social factors affecting language choice) As noted by Daurmert (2011), “multilingual individuals tend to alternate between languages based on situational factors, including the linguistic competence of their interlocutors, their desire to express group membership or identity, the negotiation of social roles, and the management of interpersonal relationships”. Reflecting this phenomenon, the learners in Subgroup 1 frequently engage in code-switching, adapting their language choices to match the communicative context. Two central reasons underpin this behavior: language proficiency and peer influence. Firstly, members of this subgroup demonstrate greater fluency in Russian and English compared to their INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS Volume 02, Issue 09, 2025 40 INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS universalconference.us native or home language, which enables them to transition smoothly between languages, especially in environments where Kazakh is dominant. Secondly, the influence of peers appears significant; these learners often attempt to align their linguistic behavior with classmates who are proficient in English, sometimes competing for linguistic dominance in group interactions. Rampton (2010) further emphasizes “the importance of transitional experiences across different social settings and the awareness of asymmetrical knowledge among speakers”. In this regard, Subgroup 1 has developed a tendency to adopt a British English accent, particularly through consistent exposure to English-language films and media, which reinforces their linguistic identity and cultural affiliation. Subgroup 2: Sociolinguistic and Educational Profile Age and Language Variation Subgroup 2 consists of learners aged 17 to 18. As emphasized by Wardhaugh and Fuller (2014), age-related linguistic variation—referred to as age-grading—suggests that linguistic behavior tends to differ across age groups, with adolescents often exhibiting distinct speech patterns compared to younger children and adults. Linguistic Background and Home Language These learners exhibit strong proficiency in Uzbek, their native language, and have substantial exposure to Russian and Kazakh, influenced largely by familial and societal interactions. Uzbek and Russian are the primary languages spoken at home, forming the foundation of their multilingual identity. Gender and Language Use The group is composed entirely of female students. According to Labov’s gender-based language principles, supported by Schilling (2011) “women are generally more inclined to adopt standardized language forms compared to their male counterparts”. In shared educational settings where both genders are instructed in the same variety of a standard language, female students often demonstrate a preference for linguistically prestigious forms. As Schilling (2011) notes, women tend to conform more consistently to overtly sanctioned sociolinguistic norms, such as standard and socially desirable variants, while showing less adherence to non-standard or emerging forms. Therefore, the students in this subgroup are more likely to use grammatically accurate and socially accepted linguistic structures. Gender Identity and Language Embracing gender diversity beyond traditional binaries is essential in understanding how language reflects and constructs gendered identities. As noted by Schilling (2011), examining language through the lens of inclusivity allows researchers and educators to explore how individuals from LGBTQ+ communities use language as a tool for INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS Volume 02, Issue 09, 2025 41 INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS universalconference.us expressing identity. In this light, being aware of learners’ gender and its sociolinguistic implications provides valuable insight for designing inclusive teaching approaches. Ethnolinguistic Identity and Regional Affiliation These learners self-identify as ethnically Uzbek and reside in Tashkent, Uzbekistan. Ethnic identity, as argued by Wardhaugh and Fuller (2014), is often not the product of deliberate linguistic choices by individuals but is deeply embedded in the community’s linguistic practices. This ethnolinguistic identity is reflected in both language preference and structural usage. Ethnicity and Grammatical Patterns Being part of an Asian minority group, Subgroup 2 demonstrates occasional structural deviations in English, such as non-standard word order (e.g., “They museum went” instead of “They went to the museum”). Such patterns are common in learners from Kachru’s “Expanding Circle,” where English is acquired as a foreign language and influenced by the syntactic structures of learners’ first languages. Socioeconomic Background • The students in this subgroup come from low-income families. As Marshall (2013) suggests, the concepts of power and solidarity are often interlinked with socioeconomic factors such as wealth, social status, and influence. Recognizing the socioeconomic status of these learners is critical in understanding their language acquisition process and potential barriers to educational access and linguistic development. Identity: Students learn the language in less efeciently not having much desire INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS Volume 02, Issue 09, 2025 42 INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS universalconference.us The learners in focus tend to engage in code-switching primarily due to their geographic and sociolinguistic environment. Since English is not commonly spoken in their surroundings outside the classroom, they frequently alternate between languages depending on context—whether at home, in public settings, or while interacting with peers. In this regard, Daumert emphasizes that language choice can serve stylistic and identity-related functions. Students in Subgroup 2, in particular, exhibit a strong inclination toward using an Uzbek-accented form of English, a pattern that reflects the dominant influence of their mother tongue. This is largely attributed to their high proficiency and comfort level in Uzbek, which continues to shape their pronunciation and overall language behavior. Linguistic Competence and the Implications of Multilingualism Group A comprises learners who demonstrate high levels of fluency in three languages—Kazakh, Russian, and English—while their proficiency in Uzbek remains limited to basic communicative competence. Although these students can successfully convey meaning in Uzbek, they often experience confusion when transitioning between languages. As a result, they tend to communicate in the language in which they feel most confident, which can vary depending on the context. The state of being multilingual, while advantageous, may also lead to identity-related challenges. Learners might experience a sense of cultural detachment, particularly when they are not deeply connected to the traditions and values associated with the