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The death of the short-form physics essay in the coming AI revolution
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The latest AI language modules can produce original, high quality full short-form (300-word) Physics essays within seconds. These technologies such as ChatGPT and davinci-003 are freely available to anyone with an internet connection. In this work, we present evidence of AI generated short-form essays achieving First-Class grades on an essay writing assessment from an accredited, current university Physics module. The assessment requires students answer five open-ended questions with a short, 300-word essay each. Fifty AI answers were generated to create ten submissions that were independently marked by five separate markers. The AI generated submissions achieved an average mark of 71 ± 2 % , in strong agreement with the current module average of 71 ± 5 % . A typical AI submission would therefore most-likely be awarded a First Class, the highest classification available at UK universities. Plagiarism detection software returned a plagiarism score between 2 ± 1 % (Grammarly) and 7 ± 2 % (TurnitIn). We argue that these results indicate that current natural language processing AI represent a significant threat to the fidelity of short-form essays as an assessment method in Physics courses.
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Metadata
- Authors
- Yeadon, W., Inyang, O.-O., Mizouri, A., Peach, A., & Testrow, C. P.
- Affiliations
- Durham University (GB)
- Corresponding author
- Yeadon, Will
- Venue
- Physics Education
- Publisher
- IOP Publishing
- Published
- 2023-04-05
- Volume
- 58
- Issue
- 3
- Pages
- 035027
- ISSN
- 0031-9120 (ISSN-L)
- 1361-6552
- OpenAlex
- W4362551436
- Cited by
- 199
- References
- 13
- Citations by year
- 2026: 23 · 2025: 54 · 2024: 68 · 2023: 54
- FWCI
- 46.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Physics Education (publishedVersion, cc-by)
- Durham Research Online (Durham University) (publishedVersion, other-oa)
- arXiv (Cornell University) (submittedVersion)
- Durham Research Online (Durham University) (submittedVersion, cc-by)
- arXiv (Cornell University)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Social Sciences › Education › Academic integrity and plagiarism
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- AI-generated text, ChatGPT, physics assessment, plagiarism detection, academic integrity, natural language processing, university physics education
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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