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

Authors

Arvind Sahu, Birla Institute of Technology, RanchiFollow
Atul Sahu, Tata Institute of Social SciencesFollow

Document Type

Article

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.