"How Widely Can Prediction Models Be Generalized? Performance Prediction in ..."

Niki Gitinabard et al. (2019)

> Home

Details and statistics

DOI: 10.1109/TLT.2019.2911832

access: closed

type: Journal Article

metadata version: 2020-04-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tlt/GitinabardXHBL19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tlt/GitinabardXHBL19
Niki Gitinabard, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses. IEEE Trans. Learn. Technol. 12(2): 184-197 (2019)

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.