Semantic Scholar

INKLYUZIV TA’LIM MUHITIDA GENERATIV AI VOSITALARI YORDAMIDA INGLIZ TILINI O‘QITISH METODIKASINI TAKOMILLASHTIRISH

作者:Iroda Xolboyeva

🔗 https://www.semanticscholar.org/paper/a3e79b5629bd298d94d875bafc4447af04c8d555 ↗

The study analyzes the potential of generative AI technologies to address students' individual learning needs, differentiate instructional materials, develop English language skills (lexical, grammatical, communicative, and receptive-productive), provide immediate feedback, and support independent learning. The methodological framework of the study comprises systemic, comparative, linguo-didactic, and modeling methods. The results indicate that generative AI tools create additional opportunities for transitioning from a "one-size-fits-all" assignment approach to an individualized and differentiated teaching model in inclusive English language education. At the same time, issues such as the accuracy of AI-generated content, academic integrity, data privacy, the risk of excessive student reliance on AI, and the maintenance of teacher oversight were identified as critical methodological considerations.

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