USING ARTIFICIAL INTELLIGENCE TO PERSONALIZE LANGUAGE LEARNING
DOI:
https://doi.org/10.55956/TMVC2697Keywords:
artificial intelligence, personalization of learning, language education, adaptive technologies, intelligent systems, machine learning, educational platforms, speech recognition, individual approach, digital pedagogyAbstract
The article is devoted to the use of artificial intelligence (AI) to personalize the learning process of foreign languages. The paper analyzes modern AI technologies, including adaptive educational platforms, natural language processing systems, and voice assistants. It is emphasized that AI allows taking into account the individual characteristics of students — the level of knowledge, the style of perception of information and the pace of learning. Using machine learning algorithms and big data analysis, such systems generate personalized assignments, track progress, and provide timely feedback. This helps to increase motivation, engagement, and effectiveness of the learning process. The article also discusses the ethical aspects of AI application: personal data protection, transparency of algorithms, and the need to preserve the role of a teacher as a mentor. The authors conclude that AI does not replace humans in teaching, but enhances the teacher's capabilities, helping to implement an individual approach and creating a more flexible and effective language environment for each student.
References
1.Shingareva M.Yu. Satisfaction of teachers and students with the implementation of digital educational resources for learning English / Dulaty University Bulletin, 2024, №1. PP.42-49
2. Gafarov F. M., Galimyanov A. F. Iskusstvennye nejronnye seti i prilozheniya [Artificial neural networks and applications]: ucheb. posobie. Kazan': Izd-vo Kazan. un-ta, 2018. 121 s. [in Russian]
3. Personalizirovannaya model' obrazovaniya s ispol'zovaniem cifrovoj platformy[A personalized education model using a digital platform]: metod. posobie / D. S. Ermakov [i dr.]; pod red. E. I. Kazakovoj. [in Russian] М., 2020. URL: https://vbudushee.ru/upload/lib/ %D0%9F%D0%9C%D0%9E.pdf
4. Minyazova E. R. «Bol'shie dannye» i personalizirovannoe obuchenie ["Big data" and personalized learning]// Vysshee obrazovanie segodnya. 2022. № 5–6. С. 41–45. DOI: 10.18137/RNU.HET. 22.05-06. P.041. EDN CPLGXK. [in Russian]
5. Iskusstvennyj intellekt v obrazovanii: Izmenenie tempov obucheniya. Analiticheskaya zapiska IITO YuNESKO [Artificial intelligence in education: Changing the pace of learning. Analytical note by UNESCO IITE]/ S. Daggen; red. S. Yu. Knyazeva; per. s angl.: A. V. Parshakova. M.: In-t YuNESKO po informacionnym tekhnologiyam v obrazovanii,2020. URL: https:// iite.unesco.org/wp-content/uploads/2020/12/Steven_Duggan_AI-in Education _2020_RUS.pdf. [in Russian]
6. Toktarova V. I., Shashkov O. V., Popova O. G. Tekhnologii nejronnyh setej v personalizacii elektronnogo obucheniya studentov [Neural network technologies in the personalization of e-learning for students]// Pedagogicheskaya informatika. 2021. № 3. S. 106‒120. URL: https://www. elibrary.ru/item.asp?id=46696847. [in Russian]
7.Rana Khudhair Abbas Ahmed. Artificial Neural Networks in E-Learning Personalization: A Review // International Journal of Intelligent Information Systems. 2016. Vol. 5. No. 6. Pp. 104‒108. DOI: https://doi.org/10.11648/j.ijiis.20160506.14
8. Pyrnova O. A., Zaripova R. S. Tekhnologii iskusstvennogo intellekta v obrazovanii [Artificial intelligence technologies in education] // Russian Journal of Education and Psychology. 2019. № 10 (3). С. 41‒44. URL: https://cyberleninka.ru/article/n/tehnologii-iskusstvennogo-intellekta-v-obrazovanii [in Russian]
9. Burnyashov B.A. Personalizaciya kak mirovoj trend obucheniya v uchrezhdeniyah vysshego obrazovaniya [Elektronnyj resurs][ Personalization as a global trend in higher education institutions] // Sovremennye problemy nauki i obrazovaniya. 2017. №1. S. 90. [in Russian]
10. Paskova A.A. Mobil'noe obuchenie v vysshem obrazovanii: tekhnologii BYOD [Mobile Learning in Higher Education: BYOD technologies] // Vestnik Majkopskogo gosudarstvennogo tekhnologicheskogo universiteta. 2018. Vyp. 4. S. 98-105. [in Russian]
11. Vajnshtejn Yu.V., Esin R.V. Personalizaciya obrazovatel'nogo processa v elektronnoj obrazovatel'noj srede [Elektronnyj resurs] [Personalization of the educational process in an electronic educational environment]// Elektronnoe obuchenie v nepreryvnom obrazovanii. 2017. №1. S. 54-59. [in Russian]
12. Starodubcev V.A. Personalizaciya virtual'noj obrazovatel'noj sredy [Elektronnyj resurs] [Personalization of the virtual educational environment]// Pedagogicheskoe obrazovanie v Rossii. 2015. №7. S. 24 29. [in Russian]
13. Hughes D. What Will Personalized Education Look Like in 2020? [Элек тронный ресурс] // Digital marketing institute. URLhttps:// digitalmarketinginstitute.com/blog/what-will-personalized-education-look-like- in-2020-education
14. Dhonson M. Personalization Is the Key to Transforming Education [Элек тронный ресурс] // National Review. 2018. URL: https://www.nationalreview.com/2018/04/education-technology-personalized-learning- better-results
15. Kotlyarova, I.O. Tekhnologii iskusstvennogo intellekta v obrazovanii [Artificial intelligence technologies in education]// Vestnik YuUrGU. Seriya «Obrazovanie. Pedagogicheskie nauki». – 2022. – T. 14. – № 3. – S. 69–82. DOI: 10.14529/ped220307
16. Personalizaciya obrazovaniya: chto eto takoe. [Personalization of education: what is it.] –https://skillbox.ru/media/education/chto-takoe-personalizatsiya-obrazovaniya/
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