"Predicting students' continuance use of learning management system at a ..."

Noble Arden Elorm Kuadey et al. (2023)

> Home

Details and statistics

DOI: 10.1108/ITSE-11-2021-0202

access: closed

type: Journal Article

metadata version: 2024-05-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/itse/KuadeyMABMAKA23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/itse/KuadeyMABMAKA23
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)

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.