Data for the study 'Generative AI, Contract Cheating and the Barriers to Academic Misconduct'
Abstract
We investigate the factors which deter students from submitting AI-generated work as their own using a study of c.500 UK and Australian University students. Respondents completed a Best-Worst Scaling (BWS) choice experiment concerning what most and least deters them from submitting coursework they did not produce. Samples responding about either outsourcing via generative AI or commercial contract cheating providers.Data for the sample asked about barriers to outsourcing to AI are in the file 'demog_ai'.Data for the sample asked about barriers to outsourcing to contract cheating are in the file 'demog_cc'.Codebook with varnames for both datasets are in the file 'CC AI survey with varnames.pdf'
Fields of Study & Subjects
Academic integrity and plagiarism
Artificial Intelligence in Education
Misinformation and Its Impacts
Publication details
- Journal / source
- Research Explorer (The University of Manchester)
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Dataset