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The death of the short-form physics essay in the coming AI revolution
Open accessAbstract
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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Language Models are Few-Shot Learners
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al. (2020) · arXiv · doi:10.48550/arxiv.2005.14165 · Cited by 23,372
Massive open online course completion rates revisited: Assessment, length and attrition
Jordan, K. (2015) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v16i3.2112 · Cited by 510
Blin, F., & Munro, M. (2007) · Computers & Education · doi:10.1016/j.compedu.2007.09.017 · Cited by 489
Köbis, N., & Mossink, L. D. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106553 · Cited by 406
All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text
Clark, E., August, T., Serrano, S., Haduong, N., Gururangan, S., & Smith, N. A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · doi:10.18653/v1/2021.acl-long.565 · Cited by 290
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text
Clark, E., August, T., Serrano, S., Haduong, N., Gururangan, S., & Smith, N. A. (2021) · arXiv · doi:10.48550/arxiv.2107.00061 · Cited by 290
Shermis, M. D. (2014) · Assessing Writing · doi:10.1016/j.asw.2013.04.001 · Cited by 227
How to cheat on your final paper: Assigning AI for student writing
Fyfe, P. (2023) · AI & SOCIETY · doi:10.1007/s00146-022-01397-z · Cited by 205
Automated Essay Writing: An AIED Opinion
Sharples, M. (2022) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-022-00300-7 · Cited by 198
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersPreprint
Pillutla, K., Swayamdipta, S., Zellers, R., Thickstun, J., Welleck, S., Choi, Y., & Harchaoui, Z. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2102.01454 · Cited by 128
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Clark, T. M., Anderson, E., Dickson‐Karn, N. M., Soltanirad, C., & Tafini, N. (2023) · Journal of Chemical Education · doi:10.1021/acs.jchemed.3c00500 · Cited by 73
Waltzer, T., Cox, R. L., & Heyman, G. D. (2023) · Human Behavior and Emerging Technologies · doi:10.1155/2023/1923981 · Cited by 61
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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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