Ai-generated Assignment Detection
AI-Generated Assignment Detection is a scholarly methodological framework designed to identify academic submissions produced substantially by artificial intelligence systems, distinguishing it from general plagiarism detection by focusing specifically on outputs generated through large language models and similar generative AI technologies.
9
Publications
755
Citations
40
Authors
11
Institutions
Publications per year
2017–2026
9
Parents
9
Iffat Sabir Chaudhry, Sayed Ahmad M. Sarwary, Ghaleb A. El Refae et al. · Cogent Education · 2023 · 231 citations · Full text
How to cheat on your final paper: Assigning AI for student writing
Paul Fyfe · AI & Society · 2022 · 185 citations
Xu Cheng, Ryan T. Dunn, Travis P. Holt et al. · Issues in Accounting Education · 2023 · 48 citations · Full text
Business, Accountancy, Accounting +12
1–5 of 9
40
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 40
11
Brigham Young University
Provo, United States
2 h-index
2 publications
65 citations
Auburn University
Auburn, United States
2 h-index
20 publications
650 citations
North Carolina State University
Raleigh, United States
2 h-index
7 publications
467 citations

Portland State University
Portland, United States
1 h-index
1 publications
231 citations

University of Raparin
Ṟaniye, Iraq
1 h-index
1 publications
81 citations
Al Ain University
Al Ain, United Arab Emirates
1 h-index
3 publications
693 citations

University of Auckland
Auckland, New Zealand
1 h-index
1 publications
47 citations

Fashion Institute of Technology
New York, United States
1 h-index
1 publications
80 citations
1–8 of 11
JALT · 1 publications · 81 citations
1
h-index
1 publications · 231 citations
1
h-index
Conference · 1 publications · 29 citations
1
h-index
Conference · 1 publications · 37 citations
1
h-index
1 publications · 48 citations
1
h-index
1–5