INTEGRATING ARTIFICIAL INTELLIGENCE INTO TASK-BASED LANGUAGE TEACHING FOR ENHANCING SPEAKING FLUENCY AMONG EFL LEARNERS.

Abstract

   So‘nggi yillarda Sun’iy Intellekt (Artificial Intelligence – AI) texnologiyalarining ta’lim sohasiga kirib kelishi ingliz tilini chet tili sifatida o‘qitish jarayonida muhim o‘zgarishlarni yuzaga keltirdi. Zamonaviy metodikalardan biri hisoblangan Task-Based Language Teaching (TBLT) o‘quvchilarning real hayotga yaqin kommunikativ vazifalarni bajarish orqali til o‘rganishiga asoslanadi. Ushbu maqolada sun’iy intellekt yordamida qo‘llab-quvvatlangan TBLT yondashuvining ingliz tilini o‘rganuvchilarning og‘zaki nutq ravonligini rivojlantirishdagi o‘rni tahlil qilinadi. Tadqiqot davomida AI asosidagi chatbotlar va virtual yordamchilarning task-based faoliyatlarga integratsiyasi o‘quvchilarga autentik muloqot muhiti yaratishi, tezkor fikr-mulohaza berishi hamda individual o‘rganish imkoniyatlarini kengaytirishi ko‘rsatib beriladi. Maqolada TBLT nazariy asoslari, speaking fluency tushunchasi va sun’iy intellektning pedagogik afzalliklari yoritilgan. Shuningdek, AI yordamida tashkil etilgan amaliy speaking tasklar misollar orqali tahlil qilinadi. Natijalar shuni ko‘rsatadiki, AI va TBLT integratsiyasi o‘quvchilar faolligini oshiradi, kommunikativ kompetensiyani rivojlantiradi hamda speaking fluency ko‘nikmasining samarali shakllanishiga xizmat qiladi. Shu sababli, AI-assisted TBLT ingliz tili ta’limida istiqbolli va innovatsion yondashuv sifatida baholanishi mumkin.

In recent years, the integration of Artificial Intelligence (AI) into language education has transformed traditional approaches to teaching and learning English as a Foreign Language (EFL). Among modern methodologies, Task-Based Language Teaching (TBLT) has gained considerable attention due to its emphasis on meaningful communication and real-life language use. This article explores the role of AI-assisted Task-Based Language Teaching in enhancing speaking fluency among EFL learners. The study examines how AI-powered tools, particularly conversational chatbots and virtual assistants, can be incorporated into task-based activities to provide learners with authentic speaking opportunities, immediate feedback, and personalized learning experiences. The article discusses the theoretical foundations of TBLT, the concept of speaking fluency, and the pedagogical benefits of integrating AI into language instruction. Furthermore, practical examples of AI-enhanced speaking tasks are presented to demonstrate their effectiveness in promoting learners’ confidence, interaction, and communicative competence. The findings suggest that the combination of AI technologies and task-based instruction creates a learner-centered environment that supports the development of speaking fluency and increases learner engagement. Therefore, AI-assisted TBLT can be considered a promising approach for improving oral communication skills in EFL classrooms.