Skip to main Communities My dashboard Log in Sign up Published April 12, 2026 | Version v1 Dataset Open PEDAGOGICAL CONDITIONS FOR ORGANIZING INDEPENDENT LEARNING IN THE TRAINING OF FUTURE ENGINEERS: CURRENT STATE AND PROSPECTS Authors/Creators Jafar Ataullayev (Contact person) 1 Dilshod Baratov (Contact person) 1 Show affiliations 1.
Karshi State Technical University, Karshi, Uzbekistan Description This article examines the contemporary pedagogical conditions for organizing independent learning in the training of future engineers. The study analyzes internal and external factors influencing the organization of independent learning in higher technical education institutions, identifies challenges arising in the context of educational process digitalization, and outlines promising directions for their resolution. The research findings hold practical significance for developing elements of a pedagogical model aimed at enhancing the effectiveness of independent learning. Files 949-954.pdf Files (214.4 kB) Name Size Download all 949-954.pdf md5:8bf1649dee3c5265d25871dd21a82ab2 214.4 kB Preview Download Additional details References Law of the Republic of Uzbekistan "On Education" (2020). Tashkent: Oliy Majlis of the Republic of Uzbekistan. "New Uzbekistan Development Strategy for 2022–2026" approved by Decree of the President of the Republic of Uzbekistan No. PF-60 dated January 28, 2022. (2022). Tashkent. Ally, M. (2004). Foundations of educational theory for online learning. In T. Anderson & F. Elloumi (Eds.), Theory and practice of online learning (pp. 3–31). Athabasca University Press. Ergashev, B. Kh. (2022). Factors in the formation of professional competence in engineering education. Pedagogy and Psychology, 3(14), 45–58. Muslimov, N. A. (2019). Theoretical-methodological foundations of organizing independent learning in vocational education. Tashkent: Science and Technologies. 224 p. 42 Views 17 Downloads Show more details All versions This version Views Total views 42 42 Downloads Total downloads 17 17 Data volume Total data volume 3.6 MB 3.6 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19543126 Markdown [](https://doi.org/10.5281/zenodo.19543126) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19543126.svg :target: https://doi.org/10.5281/zenodo.19543126 HTML <a href="https://doi.org/10.5281/zenodo.19543126"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19543126.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19543126.svg Target URL https://doi.org/10.5281/zenodo.19543126 Resource type Dataset Publisher Zenodo Published in International journal of artificial intelligence, 6(04), 949-954, ISSN: 2692-515x, 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 12, 2026 Modified April 12, 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