Designing of learning content for a university online course

VM Lutkovski, PV Nazarov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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
Original languageEnglish
Title of host publicationProceedings of the III International Scientific-Practical Conference, Minsk, 21-22 Apr. CTDA'2022
Place of PublicationMinsk
PublisherRIWSH
Pages222-225
Number of pages4
ISBN (Print)978-985-586-561-3
Publication statusPublished - Apr 2022
EventComputer Technologies and Data Analysis (CTDA'2022) - Belarusian State University Faculty of Radiophysics and Computer Technologies, Minsk, Belarus
Duration: 21 Apr 202222 Apr 2022
https://ctda.rfe.by/eng

Conference

ConferenceComputer Technologies and Data Analysis (CTDA'2022)
Country/TerritoryBelarus
CityMinsk
Period21/04/2222/04/22
Internet address

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