Standard

Assessment of Online Courses Control Materials Using Information Theory Methods. / Tolmachev, Alexander; Astratova, Galina.
Digital Transformation in Industry - Trends, Management, Strategies. ред. / Vikas Kumar; Jafar Rezaei; Victoria Akberdina; Evgeny Kuzmin. Springer, 2021. стр. 257-271 (Lecture Notes in Information Systems and Organisation; Том 44).

Результаты исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииРецензирование

Harvard

Tolmachev, A & Astratova, G 2021, Assessment of Online Courses Control Materials Using Information Theory Methods. в V Kumar, J Rezaei, V Akberdina & E Kuzmin (ред.), Digital Transformation in Industry - Trends, Management, Strategies. Lecture Notes in Information Systems and Organisation, Том. 44, Springer, стр. 257-271, International Scientific Conference on Digital Transformation in Industry: Trends, Management, Strategies, 2020, Ekaterinburg, Российская Федерация, 27/11/2020. https://doi.org/10.1007/978-3-030-73261-5_24

APA

Tolmachev, A., & Astratova, G. (2021). Assessment of Online Courses Control Materials Using Information Theory Methods. в V. Kumar, J. Rezaei, V. Akberdina, & E. Kuzmin (Ред.), Digital Transformation in Industry - Trends, Management, Strategies (стр. 257-271). (Lecture Notes in Information Systems and Organisation; Том 44). Springer. https://doi.org/10.1007/978-3-030-73261-5_24

Vancouver

Tolmachev A, Astratova G. Assessment of Online Courses Control Materials Using Information Theory Methods. в Kumar V, Rezaei J, Akberdina V, Kuzmin E, Редакторы, Digital Transformation in Industry - Trends, Management, Strategies. Springer. 2021. стр. 257-271. (Lecture Notes in Information Systems and Organisation). doi: 10.1007/978-3-030-73261-5_24

Author

Tolmachev, Alexander ; Astratova, Galina. / Assessment of Online Courses Control Materials Using Information Theory Methods. Digital Transformation in Industry - Trends, Management, Strategies. Редактор / Vikas Kumar ; Jafar Rezaei ; Victoria Akberdina ; Evgeny Kuzmin. Springer, 2021. стр. 257-271 (Lecture Notes in Information Systems and Organisation).

BibTeX

@inproceedings{c5a0ed73ec0f4bfeafc0b095815ead6a,
title = "Assessment of Online Courses Control Materials Using Information Theory Methods",
keywords = "Digital transformation, Information theory, Learning analytics, Online education",
author = "Alexander Tolmachev and Galina Astratova",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Scientific Conference on Digital Transformation in Industry: Trends, Management, Strategies, 2020 ; Conference date: 27-11-2020 Through 27-11-2020",
year = "2021",
doi = "10.1007/978-3-030-73261-5_24",
language = "English",
isbn = "9783030732608",
series = "Lecture Notes in Information Systems and Organisation",
publisher = "Springer",
pages = "257--271",
editor = "Vikas Kumar and Jafar Rezaei and Victoria Akberdina and Evgeny Kuzmin",
booktitle = "Digital Transformation in Industry - Trends, Management, Strategies",
address = "Germany",

}

RIS

TY - GEN

T1 - Assessment of Online Courses Control Materials Using Information Theory Methods

AU - Tolmachev, Alexander

AU - Astratova, Galina

N1 - Publisher Copyright: © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2021

Y1 - 2021

KW - Digital transformation

KW - Information theory

KW - Learning analytics

KW - Online education

UR - http://www.scopus.com/inward/record.url?scp=85113289960&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-73261-5_24

DO - 10.1007/978-3-030-73261-5_24

M3 - Conference contribution

AN - SCOPUS:85113289960

SN - 9783030732608

T3 - Lecture Notes in Information Systems and Organisation

SP - 257

EP - 271

BT - Digital Transformation in Industry - Trends, Management, Strategies

A2 - Kumar, Vikas

A2 - Rezaei, Jafar

A2 - Akberdina, Victoria

A2 - Kuzmin, Evgeny

PB - Springer

T2 - International Scientific Conference on Digital Transformation in Industry: Trends, Management, Strategies, 2020

Y2 - 27 November 2020 through 27 November 2020

ER -

ID: 23716073