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

作者：Will Yeadon, O. Inyang, Arin Mizouri, Alex Peach, Craig P. Testrow · 发表于：Physics Education · 年份：2023 · DOI：10.1088/1361-6552/acc5cf · 被引用次数：191 · 研究领域：Artificial Intelligence in Healthcare and Education、Topic Modeling、Explainable Artificial Intelligence (XAI)

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.