INGLIZ TILINING GLOBAL MULOQOTDAGI VA HAYOTIMIZDAGI O’RNI
Keywords:
BMT, YUNESKO, MDH, Asr taqozosi, Individual rivojlanish, resurslar, ta’lim tizimi, global muloqotAbstract
Ushbu maqola ingliz tilining global muloqotdagi va hayotimizdagi o'rnini tahlil qiladi. Ingliz tili bugungi kunda dunyodagi eng ko'p tarqalgan tillardan biri bo'lib, xalqaro biznes, ta'lim, fan va madaniyat sohalarida muhim rol o'ynamoqda. Maqolada ingliz tilining global kommunikatsiyadagi ahamiyati, u qanday qilib turli madaniyatlar o'rtasida ko'prik vazifasini o'tashi, shuningdek, uning internet va raqamli texnologiyalar orqali tarqalishi xususida fikrlar bildiriladi. Shuningdek, maqola ingliz tilini bilishning shaxsiy va professional hayotimizga ta'siri va uning global jamiyatdagi o'zgaruvchan roli haqida muhokama olib boradi. Ushbu tahlil orqali ingliz tilining nafaqat xalqaro aloqalar uchun, balki insonlarning kundalik hayoti uchun qanday ahamiyatga ega ekanligi ko'rsatib beriladi.
References
1. Crystal, D. (2003). English as a Global Language. Cambridge University Press.
2. SN Muxtarovna, Independent learning, Евразийский научный журнал, 374-375, 2017
3. M Ubaydullayeva, Ways To Activate Students When Teaching The Epic” Alpomish, Международный Журнал Языка, Образования, Перевода 4 (5), 2023
4. D Axmedova, S Zarmaskhonov, Exploring Global Perspectives In Language Teaching And Learning, Conference Proceedings: Fostering Your Research Spirit, 205-207, 2024
5. Graddol, D. (2006). English Next: Why Global English may Mean the End of ‘English as a Foreign Language’. British Council.
6. Harmer, J. (2007). The Practice of English Language Teaching. Pearson Education.
7. Nunan, D. (1999). Second Language Teaching & Learning. Heinle & Heinle Publishers.
8. UM Azamatovna, The History Of The Development Of The Terms Of Literary Studies Of The Turkic Peoples
9. SD Ikrambayevna, Classification of Functions of Communicative Strategy and Tactics in Political Communication, Miasto Przyszłości 50, 548-553, 2024.
10. qizi To‘yeva, M. S. (2022, November). Yangi O ‘Zbekiston Orifa Ayollari Va G ‘Arb Ayollarining Jamiyatdagi Mavqeyi Va Ularning Huquqlari. In International Conferences (Vol. 1, No. 2, pp. 74-81).
11. Islomjanovna, A. M. (2024). Bolaning Ijtimoiylashuv Jarayonidagi Omillar Hamda Oil A Va Jamiyatning Ahamiyati. International Journal of Education, Social Science & Humanities, 12(6), 1154-1158.
12. Islomjanovna, A. M. (2022). Traditions of culture in Islam and their modern significance. World Bulletin of Social Sciences, 9, 198-202.
13. N Shamuradova, Kauzallik Va Kauzativlikning Ingliz Va O’zbek Tillarida Qiyosiy Tadqiqi, Conference Proceedings: Fostering Your Research Spirit, 305-307, 2024.
14. Abdufattokhov, S., Ibragimova, K., & Gulyamova, D. (2021, November). The applicability of machine learning algorithms in predictive modeling for sustainable energy management. In International Conference on Forthcoming Networks and Sustainability in the IoT Era (pp. 379-391). Cham: Springer International Publishing.
15. Ghodake, S. P., Malkar, V. R., Santosh, K., Jabasheela, L., Abdufattokhov, S., & Gopi, A. (2024). Enhancing Supply Chain Management Efficiency: A Data-Driven Approach using Predictive Analytics and Machine Learning Algorithms. International Journal of Advanced Computer Science & Applications, 15(4).
16. Dohare, S., Pamulaparthy, L., Abdufattokhov, S., Naga Ramesh, J. V., El-Ebiary, Y. A. B., & Thenmozhi, E. (2024). Enhancing Diabetes Management: A Hybrid Adaptive Machine Learning Approach for Intelligent Patient Monitoring in e-Health Systems. International Journal of Advanced Computer Science & Applications, 15(1).
17. Abdufattokhov, S., Normatova, N., & Shermatova, M. (2022). Artificial Neural Networks Based Predictive Model for Detecting the Early-Stage Diabetes. Journal of Artificial Intelligence, Machine Learning and Neural Network (JAIMLNN) ISSN, 2799-1172.
18. Chen, Z., Xie, M., Zu, Q., & Abdufattokhov, S. (2023). Electrical Automation Intelligent Control System Based on Internet of Things Technology. Electrica, 23(2).
19. Abdufattokhov, S., Mahamatov, N., Ibragimova, K., Gulyamova, D., & Yuldashev, D. (2022). Supervisory optimal control using machine learning for building thermal comfort. Operations Research and Decisions, 32(4).
