R0029/2026-03-27/Q005/SRC03
UK University AI Cheating Data (2023-24)
Source
| Field |
Value |
| Title |
Various reports on UK university AI cheating cases |
| Publisher |
Various (Times Higher Education, tandfonline) |
| Author(s) |
Various |
| Date |
2024-2025 |
| URL |
https://www.tandfonline.com/doi/full/10.1080/02602938.2025.2511794 |
| Type |
Institutional data / news reporting |
Summary
| Dimension |
Rating |
| Reliability |
Medium-High |
| Relevance |
High |
| Bias: Missing data |
Some concerns |
| Bias: Measurement |
Some concerns |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Institutional data from UK universities; formal misconduct proceedings |
| Relevance |
Provides confirmed case numbers (not self-report) — higher evidentiary weight |
| Bias flags |
Missing data: formal cases represent only detected instances; actual prevalence likely much higher |
| Evidence ID |
Summary |
| SRC03-E01 |
Nearly 7,000 UK students formally caught cheating with AI (2023-24); triple prior year |