Faculty members’ use of artificial intelligence to grade student papers: a case of implications
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,...
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| Published in | International Journal for Educational Integrity Vol. 19; no. 1; pp. 9 - 10 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Singapore
Springer Nature Singapore
01.12.2023
BioMed Central, Ltd Springer Nature B.V BMC |
| Subjects | |
| Online Access | Get full text |
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| 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. |
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| AbstractList | 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. 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. |
| ArticleNumber | 9 |
| Audience | Higher Education Postsecondary Education |
| Author | Kumar, Rahul |
| Author_xml | – sequence: 1 givenname: Rahul orcidid: 0000-0002-4247-6045 surname: Kumar fullname: Kumar, Rahul email: rkumar@brocku.ca organization: Faculty of Education, Brock University |
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| Copyright | The Author(s) 2023 The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| References_xml | – year: 1930 ident: CR17 publication-title: The right and the good – year: 2023 ident: CR5 publication-title: “Can you compare pieces of writing?” [prompt] – year: 2019 ident: CR10 publication-title: Artificial intelligence in education: promises and implications for teaching and learning – year: 2023 ident: CR2 publication-title: ChatGPT is making universities rethink plagiarism: students and professors can’t decide whether the AI chatbot is a research tool—or a cheating engine – year: 1989 ident: CR7 publication-title: The call of stories: teaching and the moral imagination – year: 2022 ident: CR9 publication-title: The potential of artificial intelligence in assessment feedback – volume: 18 start-page: 433 issue: 4 year: 2011 end-page: 449 ident: CR19 article-title: Getting to the heart of authentic assessment for learning publication-title: Assess Educ doi: 10.1080/0969594X.2011.582838 – volume: 22 start-page: 37 issue: 1 year: 1996 end-page: 61 ident: CR3 article-title: Effective teaching and learning: scaffolding revisited publication-title: Oxf Rev Educ doi: 10.1080/0305498960220103 – year: 2021 ident: CR16 publication-title: Experts doubt ethical AI design will be broadly adopted as the norm within the next decade – volume: 7 start-page: 38 issue: 16 year: 2016 end-page: 41 ident: CR1 article-title: The value and effectiveness of feedback in improving students’ learning and professionalizing teaching in higher education publication-title: J Educ Pract – year: 1995 ident: CR11 publication-title: Administrators solving the problems of practice: decision-making concepts, cases, and consequences – volume: 6 start-page: 17 issue: 3 year: 2020 end-page: 29 ident: CR12 article-title: Artificial intelligence for students in postsecondary education: a world of opportunity publication-title: AI Matters doi: 10.1145/3446243.3446250 – year: 2023 ident: CR21 publication-title: ChatGPT: a threat to higher education? – year: 2021 ident: CR8 article-title: The impact of text-generating technologies on academic integrity publication-title: AI & AI. 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| Title | Faculty members’ use of artificial intelligence to grade student papers: a case of implications |
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