"Towards transparent and trustworthy prediction of student learning ..."

Xiaojing Duan et al. (2024)

> Home

Details and statistics

DOI: 10.1007/S10639-023-11954-8

access: closed

type: Journal Article

metadata version: 2024-03-16

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eait/DuanPAHCW24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eait/DuanPAHCW24
Xiaojing Duan, Bo Pei, G. Alex Ambrose, Arnon Hershkovitz, Ying Cheng, Chaoli Wang:
Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: a case study. Educ. Inf. Technol. 29(3): 3075-3096 (2024)

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.