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A large-scale comparison of human-written versus ChatGPT-generated essays
ChatGPT and similar generative AI models have attracted hundreds of millions of users and have become part of the public discourse. Many believe that such models will disrupt society and lead to significant changes in the education system and information generation. So far, this belief is based on e...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616290/ https://www.ncbi.nlm.nih.gov/pubmed/37903836 http://dx.doi.org/10.1038/s41598-023-45644-9 |
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author | Herbold, Steffen Hautli-Janisz, Annette Heuer, Ute Kikteva, Zlata Trautsch, Alexander |
author_facet | Herbold, Steffen Hautli-Janisz, Annette Heuer, Ute Kikteva, Zlata Trautsch, Alexander |
author_sort | Herbold, Steffen |
collection | PubMed |
description | ChatGPT and similar generative AI models have attracted hundreds of millions of users and have become part of the public discourse. Many believe that such models will disrupt society and lead to significant changes in the education system and information generation. So far, this belief is based on either colloquial evidence or benchmarks from the owners of the models—both lack scientific rigor. We systematically assess the quality of AI-generated content through a large-scale study comparing human-written versus ChatGPT-generated argumentative student essays. We use essays that were rated by a large number of human experts (teachers). We augment the analysis by considering a set of linguistic characteristics of the generated essays. Our results demonstrate that ChatGPT generates essays that are rated higher regarding quality than human-written essays. The writing style of the AI models exhibits linguistic characteristics that are different from those of the human-written essays. Since the technology is readily available, we believe that educators must act immediately. We must re-invent homework and develop teaching concepts that utilize these AI models in the same way as math utilizes the calculator: teach the general concepts first and then use AI tools to free up time for other learning objectives. |
format | Online Article Text |
id | pubmed-10616290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106162902023-11-01 A large-scale comparison of human-written versus ChatGPT-generated essays Herbold, Steffen Hautli-Janisz, Annette Heuer, Ute Kikteva, Zlata Trautsch, Alexander Sci Rep Article ChatGPT and similar generative AI models have attracted hundreds of millions of users and have become part of the public discourse. Many believe that such models will disrupt society and lead to significant changes in the education system and information generation. So far, this belief is based on either colloquial evidence or benchmarks from the owners of the models—both lack scientific rigor. We systematically assess the quality of AI-generated content through a large-scale study comparing human-written versus ChatGPT-generated argumentative student essays. We use essays that were rated by a large number of human experts (teachers). We augment the analysis by considering a set of linguistic characteristics of the generated essays. Our results demonstrate that ChatGPT generates essays that are rated higher regarding quality than human-written essays. The writing style of the AI models exhibits linguistic characteristics that are different from those of the human-written essays. Since the technology is readily available, we believe that educators must act immediately. We must re-invent homework and develop teaching concepts that utilize these AI models in the same way as math utilizes the calculator: teach the general concepts first and then use AI tools to free up time for other learning objectives. Nature Publishing Group UK 2023-10-30 /pmc/articles/PMC10616290/ /pubmed/37903836 http://dx.doi.org/10.1038/s41598-023-45644-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Herbold, Steffen Hautli-Janisz, Annette Heuer, Ute Kikteva, Zlata Trautsch, Alexander A large-scale comparison of human-written versus ChatGPT-generated essays |
title | A large-scale comparison of human-written versus ChatGPT-generated essays |
title_full | A large-scale comparison of human-written versus ChatGPT-generated essays |
title_fullStr | A large-scale comparison of human-written versus ChatGPT-generated essays |
title_full_unstemmed | A large-scale comparison of human-written versus ChatGPT-generated essays |
title_short | A large-scale comparison of human-written versus ChatGPT-generated essays |
title_sort | large-scale comparison of human-written versus chatgpt-generated essays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616290/ https://www.ncbi.nlm.nih.gov/pubmed/37903836 http://dx.doi.org/10.1038/s41598-023-45644-9 |
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