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

Gerardou, Flor Silvestre ORCID: https://orcid.org/0000-0003-3431-713X, Michel-Villarreal, Rosario, Vilalta-Perdomo, Eliseo, Salinas-Navarro, David Ernesto and Thierry-Aguilera, Ricardo (2023) Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13 (9). p. 856. ISSN 2227-7102

Preview

Text education-13-00856.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract / Summary

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.

Item Type:	Article
Identification Number:	10.3390/educsci13090856
Uncontrolled Keywords:	professional education, barriers, chatbots, higher education, universities, generative artificial intelligence, risks, educational innovation, academic integrity
ISSN:	2227-7102
Subjects:	Computer Science, Information & General Works
Courses by Department:	Cornwall Business School
SWORD Depositor:	Mr Pub Router
Depositing User:	Mr Pub Router
Date Deposited:	31 Oct 2023 13:16
Last Modified:	08 Aug 2024 08:41
URI:	https://repository.falmouth.ac.uk/id/eprint/5080

View Record (staff only)