ANALYSIS OF MODERN EDUCATIONAL PLATFORMS
Keywords:
MOOC, distance education, udacity, futurelearn, coursera, edx, khanacademy, Udemy, IversityAbstract
Modern learning platforms offer flexible, interactive, collaborative, and accessible learning experiences. These platforms use advanced technologies such as machine learning, multimedia content, and online resources to meet the unique needs and preferences of individual learners, allowing learners to study at their own time and distance. In this article, the opportunities, advantages, disadvantages, characteristic features of MOOC platforms are analyzed over the years, and serve as a basis for choosing the best platform for users. An analysis of MOOC platforms highlights the importance of considering factors such as course offerings, teaching quality, user experience, and certification opportunities when choosing a platform. While MOOCs have expanded educational opportunities, it is important to know their effectiveness and long-term sustainability.
References
Higher education and the digital revolution: About MOOCs, SPOCs, social media, and the Cookie Monster Kaplan, Andreas M.; Haenlein, Michael. // Business Horizons : journal. — 2016. — Vol. 59, no. 4. — P. 441—450. — doi:10.1016/j.bushor.2016.03.008. (eng.)
Ta’lim texnologiyalari. SH.S.SHoyimova, M.K.Xoshimova, SH.R.Mirzayeva, M.M.Qoʻziboyeva. 303 bet
Подготовка специалиста высокой квалификации в области программной инженерии/“Yuqori malakali kadrlarni tayyorlashda o’qitishning zamonaviy tizimlari va texnologiyalarini qo’llash masalalari” Respublika ilmiy-uslubiy konferensiyasi. Toshkent -2022. –B.579-581 Рузибаев О.Б., Дошанова М.Ю.
Этапы извлечения знаний из электронных информационных ресурсов ОД Бобамурадов, Н.О Рахимов Евразийский Союз Ученых, 130-133
Udacity web sayti, www.udacity.com [murojaat sanasi: 10.02.2023]
Futurelearn web sayti, www.futurelearn.com [murojaat sanasi: 09.02.2023]
Muminov, B; Bekmirzaev, O; ,Classification and analysis of network attacks in the category of “denial of service” information system,Central Asian Journal of Education and Computer Sciences (CAJECS),1,,1,2022,
Marisheva, Larisa; Medetova, Kunduz; ,METHODS FOR DETERMINING THE LEVEL OF STAFF TURNOVER IN AN ORGANIZATION,CENTRAL ASIAN JOURNAL OF EDUCATION AND COMPUTER SCIENCES (CAJECS),1,2,17-20,2022,
Mo'minov B., Bekmurodov U., Gaybullayeva M. TRANSACTIONS BASED ON ONTOLOGY MODELS //CENTRAL ASIAN JOURNAL OF EDUCATION AND COMPUTER SCIENCES (CAJECS). – 2022. – Т. 1. – №. 5. – С. 41-45.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Ro‘ziyeva Gulshahar G‘ulomovna, Ro‘ziyeva Zarnigor G’ulomovna
This work is licensed under a Creative Commons Attribution 4.0 International License.