![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
"Predicting students' continuance use of learning management system at a ..."
Noble Arden Elorm Kuadey et al. (2023)
- Noble Arden Elorm Kuadey, Francois Mahama, Carlos Ankora
, Lily Bensah
, Gerald Tietaa Maale, Victor Kwaku Agbesi
, Anthony Mawuena Kuadey, Laurene Adjei
:
Predicting students' continuance use of learning management system at a technical university using machine learning algorithms. Interact. Technol. Smart Educ. 20(2): 209-227 (2023)
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.