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The death of the short-form physics essay in the coming AI revolution

Yeadon, Will; Inyang, Oto-Obong; Mizouri, Arin; Peach, Alex; Testrow, Craig P

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Abstract

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.

Citation

Yeadon, W., Inyang, O.-O., Mizouri, A., Peach, A., & Testrow, C. P. (2023). The death of the short-form physics essay in the coming AI revolution. Physics Education, 58(3), https://doi.org/10.1088/1361-6552/acc5cf

Journal Article Type Article
Acceptance Date Mar 20, 2023
Online Publication Date Apr 5, 2023
Publication Date 2023
Deposit Date Jul 3, 2023
Publicly Available Date Jul 3, 2023
Journal Physics Education
Print ISSN 0031-9120
Electronic ISSN 1361-6552
Publisher IOP Publishing
Peer Reviewed Peer Reviewed
Volume 58
Issue 3
DOI https://doi.org/10.1088/1361-6552/acc5cf
Public URL https://durham-repository.worktribe.com/output/1169238

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http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.






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