Designing of learning content for a university online course

VM Lutkovski; PV Nazarov

Designing of learning content for a university online course

VM Lutkovski^*
, PV Nazarov

^*Corresponding author for this work

Multiomics Data Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the III International Scientific-Practical Conference, Minsk, 21-22 Apr. CTDA'2022
Place of Publication	Minsk
Publisher	RIWSH
Pages	222-225
Number of pages	4
ISBN (Print)	978-985-586-561-3
Publication status	Published - Apr 2022
Event	Computer Technologies and Data Analysis (CTDA'2022) - Belarusian State University Faculty of Radiophysics and Computer Technologies, Minsk, Belarus Duration: 21 Apr 2022 → 22 Apr 2022 https://ctda.rfe.by/eng

Conference

Conference	Computer Technologies and Data Analysis (CTDA'2022)
Country/Territory	Belarus
City	Minsk
Period	21/04/22 → 22/04/22
Internet address	https://ctda.rfe.by/eng

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https://elib.bsu.by/handle/123456789/280085Licence: Unspecified

Cite this

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title = "Designing of learning content for a university online course",

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",

author = "VM Lutkovski and PV Nazarov",

note = "Computer Technologies and Data Analysis (CTDA'2022) : Proceedings of the III International Scientific-Practical Conference, Minsk, 21-22 Apr. CTDA'2022 / Belarusian State University; editor-in-chief: V. Skakun (ed.). V. Skakun (ed.) [etc.]. - Minsk : RIVSH, 2022. - С. 222-225.; Computer Technologies and Data Analysis (CTDA'2022) ; Conference date: 21-04-2022 Through 22-04-2022",

year = "2022",

month = apr,

language = "English",

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publisher = "RIWSH",

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AU - Lutkovski, VM

AU - Nazarov, PV

N1 - Computer Technologies and Data Analysis (CTDA'2022) : Proceedings of the III International Scientific-Practical Conference, Minsk, 21-22 Apr. CTDA'2022 / Belarusian State University; editor-in-chief: V. Skakun (ed.). V. Skakun (ed.) [etc.]. - Minsk : RIVSH, 2022. - С. 222-225.

PY - 2022/4

Y1 - 2022/4

N2 - 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

AB - 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

M3 - Conference contribution

SN - 978-985-586-561-3

SP - 222

EP - 225

BT - Proceedings of the III International Scientific-Practical Conference, Minsk, 21-22 Apr. CTDA'2022

PB - RIWSH

CY - Minsk

T2 - Computer Technologies and Data Analysis (CTDA'2022)

Y2 - 21 April 2022 through 22 April 2022

ER -

Designing of learning content for a university online course

Abstract

Conference

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