Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT

Rosario Michel-Villarreal; Eliseo Vilalta Perdomo; David Ernesto Salinas-Navarro; Ricardo Thierry-Aguilera; Flor Silvestre Gerardou

doi:10.3390/educsci13090856

Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT

Rosario Michel-Villarreal, Eliseo Vilalta Perdomo, David Ernesto Salinas-Navarro, Ricardo Thierry-Aguilera, Flor Silvestre Gerardou

Research output: Contribution to journal › Article › peer-review

Abstract

ChatGPT is revolutionizing the field of higher education by leveraging deep learning models to generate human-like content. However, its integration into academic settings raises concerns regarding academic integrity, plagiarism detection, and the potential impact on critical thinking skills. This article presents a study that adopts a thing ethnography approach to understand ChatGPT’s perspective on the challenges and opportunities it represents for higher education. The research explores the potential benefits and limitations of ChatGPT, as well as mitigation strategies for addressing the identified challenges. Findings emphasize the urgent need for clear policies, guidelines, and frameworks to responsibly integrate ChatGPT in higher education. It also highlights the need for empirical research to understand user experiences and perceptions. The findings provide insights that can guide future research efforts in understanding the implications of ChatGPT and similar Artificial Intelligence (AI) systems in higher education. The study concludes by highlighting the importance of thing ethnography as an innovative approach for engaging with intelligent AI systems and calls for further research to explore best practices and strategies in utilizing Generative AI for educational purposes.

Original language	English
Article number	856
Number of pages	18
Journal	Education Sciences
Volume	13
Issue number	9
DOIs	https://doi.org/10.3390/educsci13090856
Publication status	Published - 23 Aug 2023

Bibliographical note

Funding: The authors would like to acknowledge the financial support of Writing Lab, Institute for the Future of Education, Tecnologico de Monterrey, Mexico, in the production of this work (Los autores desean agradecer el apoyo financiero de Writing Lab, Institute for the Future of Education, Tecnologico de Monterrey, Mexico, en la producción de este trabajo).
Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/
4.0/).

Keywords

academic integrity
barriers
chatbots
educational innovation
generative artificial intelligence
higher education
professional education
risks
universities

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10.3390/educsci13090856Licence: CC BY 4.0

Challenges and Opportunities of Generative AI for Higher Education
Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/).
Final published version, 1.35 MBLicence: CC BY 4.0

Cite this

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abstract = "ChatGPT is revolutionizing the field of higher education by leveraging deep learning models to generate human-like content. However, its integration into academic settings raises concerns regarding academic integrity, plagiarism detection, and the potential impact on critical thinking skills. This article presents a study that adopts a thing ethnography approach to understand ChatGPT{\textquoteright}s perspective on the challenges and opportunities it represents for higher education. The research explores the potential benefits and limitations of ChatGPT, as well as mitigation strategies for addressing the identified challenges. Findings emphasize the urgent need for clear policies, guidelines, and frameworks to responsibly integrate ChatGPT in higher education. It also highlights the need for empirical research to understand user experiences and perceptions. The findings provide insights that can guide future research efforts in understanding the implications of ChatGPT and similar Artificial Intelligence (AI) systems in higher education. The study concludes by highlighting the importance of thing ethnography as an innovative approach for engaging with intelligent AI systems and calls for further research to explore best practices and strategies in utilizing Generative AI for educational purposes.",

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Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT

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