Data for the study 'Generative AI, Contract Cheating and the Barriers to Academic Misconduct'

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Authors: Dan Rigby
Cited by: 0

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