Identifying false positives when targeting students at risk of dropping out
Irene Eegdeman, Ilja Cornelisz, Martijn Meeter and Chris van Klaveren
| Year of publication: |
2023
|
|---|---|
| Authors: | Eegdeman, Irene ; Cornelisz, Ilja ; Meeter, Martijn ; Klaveren, Chris van |
| Published in: |
Education economics. - London [u.a.] : Taylor & Francis, ISSN 1469-5782, ZDB-ID 2020448-6. - Vol. 31.2023, 3, p. 313-325
|
| Subject: | machine learning | Study success | vocational education | Künstliche Intelligenz | Artificial intelligence | Berufsbildung | Vocational training | Studierende | Students | Abbrecher | Drop-outs | Risiko | Risk |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/09645292.2022.2067131 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014294800