dc.contributor.author |
Sahaidak, Danylo
|
|
dc.date.accessioned |
2024-02-14T13:15:22Z |
|
dc.date.available |
2024-02-14T13:15:22Z |
|
dc.date.issued |
2022 |
|
dc.identifier.citation |
Sahaidak, Danylo. E-learning text analysis for automated knowledge map creation / Sahaidak, Danylo; Supervisor: Kateryna Bondar; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2022. – 26 p. |
uk |
dc.identifier.uri |
https://er.ucu.edu.ua/handle/1/4454 |
|
dc.language.iso |
en |
uk |
dc.title |
E-learning text analysis for automated knowledge map creation |
uk |
dc.type |
Preprint |
uk |
dc.status |
Публікується вперше |
uk |
dc.description.abstracten |
The online learning process is constantly integrating into our lives. The pandemic
and global lockdown only speed up this process. E-learning content is spread all
around the internet, and it is often available for free. At the same time, it lacks struc-
ture, and it is hard to find essential materials. This thesis will discuss the possible
ways of e-learning content analysis and categorization for the following integration
in the knowledge map. |
uk |