Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Content Preprocessing Module for Distance Learning System. / Podkur, Tatyana M.; Shestakova, Elizaveta A.; Yakhyaeva, Gulnara E.
Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society, 2022. стр. 669-674 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; Том 2022-June).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Content Preprocessing Module for Distance Learning System
AU - Podkur, Tatyana M.
AU - Shestakova, Elizaveta A.
AU - Yakhyaeva, Gulnara E.
N1 - Publisher Copyright: © 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - One of the latest innovations in education has been the possibility of distance learning through online e-courses. On educational online platforms, Massive Open Online Courses are presented in a variety of areas. However, the sheer number of courses, books, and video tutorials available on these platforms, as well as their constant change and expansion, make it difficult to find the right and really useful resources. The ChooseYourCourse distance learning system is designed to automatically generate recommendations for e-courses. The paper describes the algorithms of the content processing module of the ChooseYourCourse system, which are responsible for collecting and processing various courses from the Internet. The paper describes the application architecture, creates models of the course and the primary user profile. It develops correlation measures between courses, as well as between subcategories. The system aggregates e-courses and forms the linking structure between them as a weighted graph. Each link and its weight determine the similarity of the courses. Personal recommendations are based on the acquired data.
AB - One of the latest innovations in education has been the possibility of distance learning through online e-courses. On educational online platforms, Massive Open Online Courses are presented in a variety of areas. However, the sheer number of courses, books, and video tutorials available on these platforms, as well as their constant change and expansion, make it difficult to find the right and really useful resources. The ChooseYourCourse distance learning system is designed to automatically generate recommendations for e-courses. The paper describes the algorithms of the content processing module of the ChooseYourCourse system, which are responsible for collecting and processing various courses from the Internet. The paper describes the application architecture, creates models of the course and the primary user profile. It develops correlation measures between courses, as well as between subcategories. The system aggregates e-courses and forms the linking structure between them as a weighted graph. Each link and its weight determine the similarity of the courses. Personal recommendations are based on the acquired data.
KW - distance education
KW - distance learning
KW - e-courses
KW - e-learning
KW - educational platform
KW - recommender system
UR - http://www.scopus.com/inward/record.url?scp=85137349656&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/1bf5e2d5-3933-334f-9c1f-dc1ae2b84edd/
U2 - 10.1109/EDM55285.2022.9855143
DO - 10.1109/EDM55285.2022.9855143
M3 - Conference contribution
AN - SCOPUS:85137349656
SN - 9781665498043
T3 - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
SP - 669
EP - 674
BT - Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022
PB - IEEE Computer Society
T2 - 23rd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2022
Y2 - 30 June 2022 through 4 July 2022
ER -
ID: 37125999