- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1833-2595
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Using digital forensics in higher education to detect academic misconduct ; volume:18 ; number:1 ; day:24 ; month:5 ; year:2022 ; pages:1-19 ; date:12.2022
International journal for educational integrity ; 18, Heft 1 (24.5.2022), 1-19, 12.2022
- Classification
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Erziehung, Schul- und Bildungswesen
- Creator
-
Johnson, Clare
Davies, Ross
Reddy, Mike
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s40979-022-00104-1
- URN
-
urn:nbn:de:101:1-2022062607182928114287
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Johnson, Clare
- Davies, Ross
- Reddy, Mike
- SpringerLink (Online service)
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Correction to: Guilt, Shame and Academic Misconduct
SACCIA Communication, Attitudes Towards Cheating and Academic Misconduct
Enhancing the Taxonomies Relating to Academic Integrity and Misconduct
Linking artificial intelligence facilitated academic misconduct to existing prevention frameworks
Replication to first-year undergraduate students’ knowledge of academic misconduct
Breach of academic values and misconduct: the case of Sci-Hub
MIAMI: development and validation of a revised measure of academic misconduct
Hope moderates the relationship between students’ sense of belonging and academic misconduct
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