Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/280085| Title: | Designing of learning content for a university online course |
| Authors: | Lutkovski, V. M. Nazarov, P. V. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2022 |
| Publisher: | Минск : РИВШ |
| Citation: | Компьютерные технологии и анализ данных (CTDA’2022) : материалы III Междунар. науч.-практ. конф., Минск, 21–22 апр. 2022 г. / Белорус. гос. ун-т ; редкол.: В. В. Скакун (отв. ред.) [и др.]. – Минск : РИВШ, 2022. – С. 222-225. |
| Abstract: | The paper is aimed to improve learning content for online learning. Models of neural networks are used in the paper for structuring the learning content of real educational courses. The adaptive resonance theory is applied as a tool for improving the student training process |
| Description: | Секция «Компьютерное моделирование процессов и систем» |
| URI: | https://elib.bsu.by/handle/123456789/280085 |
| ISBN: | 978-985-586-561-3 |
| Licence: | info:eu-repo/semantics/openAccess |
| Appears in Collections: | 2022. Компьютерные технологии и анализ данных (CTDA’2022) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 222-225.pdf | 424,21 kB | Adobe PDF | View/Open |
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