Faculty Members' Use of Artificial Intelligence to Grade Student Papers: A Case of Implications

Autor/in	Kumar, Rahul
Titel	Faculty Members' Use of Artificial Intelligence to Grade Student Papers: A Case of Implications
Quelle	In: International Journal for Educational Integrity, 19 (2023), Artikel 9 (10 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kumar, Rahul)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	College Faculty; Artificial Intelligence; Grading; Research Papers (Students); Adjunct Faculty + Suchen Sie Ihr Suchwort? Fakultät; Künstliche Intelligenz; Notengebung; Schulnote
Abstract	This paper presents the case of an adjunct university professor to illustrate the dilemma of using artificial intelligence (AI) technology to grade student papers. The hypothetical case discusses the benefits of using a commercial AI service to grade student papers--including discretion, convenience, pedagogical merits of consistent feedback for students, and advances made in the field that yield high-quality work--all of which are achieved quickly. Arguments against using AI to grade student papers involve cost, privacy, legality, and ethics. The paper discusses career implications for faculty members in both situations and concludes with implications for researchers within the discourse on academic integrity. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01