Revolutionary Applications of Generative AI in Higher Education Institutes (HEIs) and its Implications

Abstract

In recent decades, there has been a notable transformation in educational procedures due to technological breakthroughs, particularly in artificial intelligence (AI). In recent times, there has been a noteworthy advancement and acceptance of generative artificial intelligence (AI) models, specifically exemplified by the emergence of Generative Pre-trained Transformers (GPT). Within the overarching category of Generative AI, various AI tools and technologies facilitate the production of computer-generated text, images, and other forms of digitized media. This paper comprehensively analyzes the concepts and implications of the discourse surrounding Generative AI. By adopting a position that advocates for the acceptance rather than the opposition of Generative AI, this study offers valuable insights for educators and researchers in higher education learners. The findings presented here contribute significantly to understanding Generative AI as a transformative force in reforming education. This study investigates the potential consequences of generative artificial intelligence (AI) technology on higher education, specifically focusing on the significant transformative shifts that may occur within higher education institutions (HEIs). This article examines three primary objectives: The benefits and use cases of generative AI in higher education institutions (HEIs) The influence or disruption of generative AI in the education sectors The developing obstacles and opportunities associated with its implementation The authors contribute to the extant research study by presenting a comprehensive model elucidating the manifestation of generative artificial intelligence (AI) in higher education and its impacts on libraries. Additionally, they offer insightful recommendations for effectively managing this phenomenon. The paper's concluding discussion delves into the prospective ramifications of generative artificial intelligence (AI) within higher education institutions (HEIs), as well as the obstacles and risks that AI presents, particularly in the context of higher education.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 93,990

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

AI in Higher Education.David S. Fowler - 2023 - Journal of Ethics in Higher Education 3:127-143.
AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks.Trystan S. Goetze - 2024 - Proceedings of the 2024 Acm Conference on Fairness, Accountability, and Transparency:186-196.

Analytics

Added to PP
2024-05-16

Downloads
0

6 months
0

Historical graph of downloads

Sorry, there are not enough data points to plot this chart.
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references