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INNOVATIVE EDUCATIONAL TECHNOLOGIES AND DIGITAL MONITORING IN THE TRAINING OF MIGRATION AND CIVIL REGISTRATION PERSONNEL

Maxamadaliyeva, Iroda · Zenodo (CERN)
Zenodo (CERN) · Papers · License: Open Access
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Skip to main Communities My dashboard Log in Sign up Published April 18, 2026 | Version v1 Publication Open INNOVATIVE EDUCATIONAL TECHNOLOGIES AND DIGITAL MONITORING IN THE TRAINING OF MIGRATION AND CIVIL REGISTRATION PERSONNEL Authors/Creators Maxamadaliyeva, Iroda Description The article analyzes the organizational and legal foundations and systemic management mechanisms for training highly qualified personnel for internal affairs bodies, particularly in the fields of migration and citizenship registration, through the prism of foreign experience. The study proposes scientific and practical proposals for digitalizing the educational process based on educational management principles, implementing a multi-stage candidate selection system, and improving the monitoring system linking personnel qualifications with practical results. Files IBAST 0420.pdf Files (387.0 kB) Name Size Download all IBAST 0420.pdf md5:be1329d6b520844739b298dc6241a2c2 387.0 kB Preview Download 18 Views 10 Downloads Show more details All versions This version Views Total views 18 18 Downloads Total downloads 10 10 Data volume Total data volume 3.9 MB 3.9 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19640653 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.19640653.svg)](https://doi.org/10.5281/zenodo.19640653) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19640653.svg :target: https://doi.org/10.5281/zenodo.19640653 HTML <a href="https://doi.org/10.5281/zenodo.19640653"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19640653.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19640653.svg Target URL https://doi.org/10.5281/zenodo.19640653 Resource type Publication Publisher Zenodo Published in INTERNATIONAL BULLETIN OF APPLIED SCIENCE AND TECHNOLOGY, 6(4), 99-105, 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 18, 2026 Modified April 18, 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

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Record · ID 30006 · SHA-256 89b28397d73d6112
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