"What predicts student satisfaction with MOOCs: A gradient boosting trees ..."

Khe Foon Hew et al. (2020)

> Home

Details and statistics

DOI: 10.1016/J.COMPEDU.2019.103724

access: closed

type: Journal Article

metadata version: 2022-04-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ce/HewHQT20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ce/HewHQT20
Khe Foon Hew, Xiang Hu, Chen Qiao, Ying Tang:
What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach. Comput. Educ. 145 (2020)

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.