five

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

收藏
DataCite Commons2026-02-12 更新2026-05-07 收录
下载链接:
https://figshare.manchester.ac.uk/articles/dataset/Data_for_the_study_Generative_AI_Contract_Cheating_and_the_Barriers_to_Academic_Misconduct_/31292425/1
下载链接
链接失效反馈
官方服务:
资源简介:
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'
提供机构:
University of Manchester
创建时间:
2026-02-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作