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THE TRANSFORMATIVE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING ENGLISH READING PROFICIENCY AMONG UZBEK EFL LEARNERS: A COMPREHENSIVE STUDY

Abstract

This study looks at an online program headquartered in Tashkent that uses AI to teach reading to 30 adult Uzbek EFL learners. Significant gains were found in reading accuracy (+17.3%), vocabulary retention (+30%), comprehension (+25%), critical thinking (+30.9%), and confidence (+24%), according to a mixed-methods approach. Although cultural adaption and digital literacy training were seen as major obstacles, learners appreciated AI's flexibility and individualized feedback. Results show that, when adapted to local language and pedagogical needs, AI has the potential to revolutionize EFL situations in Central Asia. The study adds to the body of knowledge on post-Soviet educational technology, adult language learning, and the application of AI in developing nations while providing useful information for educators and policymakers.

Keywords

AI-assisted language learning, EFL reading instruction, adult education, Uzbekistan, digital literacy, mixed-methods research, cultural adaptation, online learning.

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References

  1. Alshrideh, M. (2021). The Impact of Artificial Intelligence Programs on Improving EFL Students’ Reading Skills.
  2. Hsiao, J. C., & Chang, J. S. (2023). Enhancing EFL Reading and Writing through AI powered Tools: Design, Implementation, and Evaluation of an Online Course.
  3. Koedinger, K., Corbett, A., & Perfetti, C. (2012). The Knowledge-Learning Instruction (KLI) Framework.
  4. Koraishi, O. (2023). Teaching English in the Age of AI: Embracing ChatGPT to Optimize EFL Materials and Assessment.
  5. Liman Kaban, A. (2021). EFL Students’ Personalized Reading Experiences and its Influence on Engagement and Online Presence.
  6. Mondia, D., Naranjo, K., Galamay, S., & Tiglao, N. (2023). AI Comprehend: An Adaptive Reading Comprehension Learning Platform Using Machine Learning.
  7. Daweli, T. W., & Mahyoub, R. A. M. (2024). Exploring EFL Learners’ Perspectives on Using AI Tools and Their Impacts in Reading Instruction: An Exploratory Study.
  8. Bengoetxea, K., Gonzalez-Dios, I., & Martínez, A. A. (2020). LagunTest: A NLP Based Application to Enhance Reading Comprehension.
  9. Hidayat, M. T. (2024). Effectiveness of AI-based Personalized Reading Platforms in Enhancing Reading Comprehension.
  10. Liu, Y., Zou, W., & Wang, Y. (2020). An AI-based Personalized Reading Platform for Chinese Primary School Students.
  11. Iwata, Y., Yokoyama, T., & Umemura, Y. (2020). An AI-based Writing Feedback System for Improving Reading Comprehension Skills.
  12. Khan, A., & Mutawa, M. (2021). Enhancing Reading Comprehension Skills of Arab EFL Learners Using an AI-based Personalized Reading Platform.
  13. Akiba, M., Yamamoto, Y., & Fujimoto, A. (2020). An AI-based Reading Comprehension Support System for Middle School Students.
  14. Alshriedeh, M. (2021). Cultural Contexts in AI-Driven Language Learning: A Study on Arab EFL Learners. International Journal of Multilingual Education, 33(2), 99–115.

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