Literaturnachweis - Detailanzeige
Autor/inn/en | Birks, Daniel; Clare, Joseph |
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Titel | Linking Artificial Intelligence Facilitated Academic Misconduct to Existing Prevention Frameworks |
Quelle | In: International Journal for Educational Integrity, 19 (2023), Artikel 20 (10 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Clare, Joseph) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
DOI | 10.1007/s40979-023-00142-3 |
Schlagwörter | Artificial Intelligence; Cheating; Student Behavior; Prevention; Student Attitudes |
Abstract | This paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct perpetration and frameworks for prevention. The relevance of existing crime prevention frameworks for addressing AI-facilitated academic misconduct are discussed and the paper concludes by outlining some ideas for future research relating to preventing AI-facilitated misconduct and monitoring student attitudes and behaviours with respect to this type of behaviour. (As Provided). |
Anmerkungen | BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |