Skip to main Communities My dashboard Log in Sign up Published April 15, 2026 | Version v1 Dataset Open LINGUISTIC ISSUES OF ORGANIZING PERSONNEL TRAINING AND EDUCATION BASED ON ARTIFICIAL INTELLIGENCE AND AN INNOVATIVE APPROACH Authors/Creators Shokirova Muhayyo Ismoiljon kizi (Contact person) 1 Show affiliations 1.
Andijan State Pedagogical Institute 2nd year master's student in Uzbek language and literature Description this article analyzes linguistic issues arising in organizing personnel training based on artificial intelligence and an innovative approach. The study analyzes the importance of introducing artificial intelligence and digital technologies into the education system, the impact, opportunities and existing problems on the development of linguistic competence using artificial intelligence, the methodology for organizing training. Recommendations are also given to eliminate problems associated with artificial intelligence. Files 395-399.pdf Files (169.0 kB) Name Size Download all 395-399.pdf md5:173623dd2e72047610c8d661a33b0edd 169.0 kB Preview Download Additional details References Law of the Republic of Uzbekistan "On Education". – New edition, Tashkent, 2020 Cabinet of Ministers of the Republic of Uzbekistan. Regulatory and legal documents on the "National Personnel Training Program". – Tashkent, 1997. Development Strategy of the Republic of Uzbekistan for 2022-2026. – Tashkent, 2022 Jurafsky, D. Martin, J.H. Speech and Language Processing. Pearson, 2023. Chapters 1-3 Chapelle, C.A. Computer-Assisted Language Learning. Cambridge UP, 2020. 17 Views 13 Downloads Show more details All versions This version Views Total views 17 17 Downloads Total downloads 13 13 Data volume Total data volume 2.2 MB 2.2 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19589160 Markdown [](https://doi.org/10.5281/zenodo.19589160) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19589160.svg :target: https://doi.org/10.5281/zenodo.19589160 HTML <a href="https://doi.org/10.5281/zenodo.19589160"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19589160.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19589160.svg Target URL https://doi.org/10.5281/zenodo.19589160 Resource type Dataset Publisher Zenodo Published in INTERNATIONALMULTIDISCIPLINARYJOURNALFORRESEARCH&DEVELOPMENT, 13(04), 395-399, ISSN: 2394-6334, 2026. Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 15, 2026 Modified April 15, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies