Linking Artificial Intelligence Facilitated Academic Misconduct to Existing Prevention Frameworks

Autor/inn/en	Birks, Daniel; Clare, Joseph
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 Verfügbarkeit
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 + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Prellen; Student behaviour; Schülerverhalten; Prävention; Vorbeugung
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