Faculty members’ use of artificial intelligence to grade student papers: a case of implications

• Published in: International Journal for Educational Integrity Vol. 19; no. 1; pp. 9 - 10
• Main Author: Kumar, Rahul
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.12.2023; BioMed Central, Ltd; Springer Nature B.V; BMC
• Subjects: Academic grading; Academic integrity; Adjunct Faculty; Artificial Intelligence; Careers; Case Studies; College Faculty; Desktop Publishing; Education; Educational Change; Educational Integrity in Canada; Ethics; Faculty Publishing; Family (Sociological Unit); Grading; Higher Education; Influence of Technology; Integrity; International and Comparative Education; Marking; Original Article; Pedagogy; Periodicals; Professional ethics; Professorial conundrum; Research Papers (Students); Student Costs; Student Participation; Student Records; Teaching Experience; Teaching Load; Time; Universities; University professors; Academic integrity; Pedagogy; Marking; Professorial conundrum; Artificial intelligence
• ISSN: 1833-2595; 1833-2595
• DOI: 10.1007/s40979-023-00130-7

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.