Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT
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 a...
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Format: | Article |
Language: | English |
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MDPI AG
2023-08-01
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Series: | Education Sciences |
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Online Access: | https://www.mdpi.com/2227-7102/13/9/856 |
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author | Rosario Michel-Villarreal Eliseo Vilalta-Perdomo David Ernesto Salinas-Navarro Ricardo Thierry-Aguilera Flor Silvestre Gerardou |
author_facet | Rosario Michel-Villarreal Eliseo Vilalta-Perdomo David Ernesto Salinas-Navarro Ricardo Thierry-Aguilera Flor Silvestre Gerardou |
author_sort | Rosario Michel-Villarreal |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T22:51:14Z |
format | Article |
id | doaj.art-7562e5c364984ef8a85bdd06967e1495 |
institution | Directory Open Access Journal |
issn | 2227-7102 |
language | English |
last_indexed | 2024-03-10T22:51:14Z |
publishDate | 2023-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Education Sciences |
spelling | doaj.art-7562e5c364984ef8a85bdd06967e14952023-11-19T10:18:35ZengMDPI AGEducation Sciences2227-71022023-08-0113985610.3390/educsci13090856Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPTRosario Michel-Villarreal0Eliseo Vilalta-Perdomo1David Ernesto Salinas-Navarro2Ricardo Thierry-Aguilera3Flor Silvestre Gerardou4Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UKCommunity Resilience and Sustainability Lab (CoRSEL), Aston Business School, Aston University, Birmingham B4 7ET, UKCommunity Resilience and Sustainability Lab (CoRSEL), Aston Business School, Aston University, Birmingham B4 7ET, UKSchool of Engineering and Sciences, Tecnológico de Monterrey, Monterrey 64849, MexicoCornwall Business School, Falmouth University, Penryn TR10 9FE, UKChatGPT 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.https://www.mdpi.com/2227-7102/13/9/856academic integritychatbotsgenerative artificial intelligencehigher educationuniversitiesprofessional education |
spellingShingle | Rosario Michel-Villarreal Eliseo Vilalta-Perdomo David Ernesto Salinas-Navarro Ricardo Thierry-Aguilera Flor Silvestre Gerardou Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT Education Sciences academic integrity chatbots generative artificial intelligence higher education universities professional education |
title | Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT |
title_full | Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT |
title_fullStr | Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT |
title_full_unstemmed | Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT |
title_short | Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT |
title_sort | challenges and opportunities of generative ai for higher education as explained by chatgpt |
topic | academic integrity chatbots generative artificial intelligence higher education universities professional education |
url | https://www.mdpi.com/2227-7102/13/9/856 |
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