Predicting Master’s students’ academic performance: an empirical study in Germany
Crossref DOI link: https://doi.org/10.1186/s40561-022-00220-y
Published Online: 2022-12-23
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Alturki, Sarah https://orcid.org/0000-0003-4264-1490
Cohausz, Lea
Stuckenschmidt, Heiner
Text and Data Mining valid from 2022-12-23
Version of Record valid from 2022-12-23
Article History
Received: 2 September 2022
Accepted: 16 December 2022
First Online: 23 December 2022
Declarations
:
: The authors declare that there is no competing interest.