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Exploring the Implications of Emerging Artificial Intelligence Technologies at Edge Computing in Higher Education
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Author(s): Omega John Unogwu (Azteca University, Mexico), Ruchi Doshi (Azteca University, Mexico), Kamal Kant Hiran (Sir Padampat Singhania University, India), Maad M. Mijwil (Baghdad College of Economic Sciences University, Iraq), Ankar Tersoo Catherine (College of Education, Oju, Nigeria)and Mostafa Abotaleb (South Ural State University, Russia)
Copyright: 2024
Pages: 14
Source title:
Integrating Generative AI in Education to Achieve Sustainable Development Goals
Source Author(s)/Editor(s): Ruchi Doshi (Universidad Azteca, Mexico), Manish Dadhich (Sir Padampat Singhania University, India), Sandeep Poddar (Lincoln University College, Malaysia)and Kamal Kant Hiran (Sir Padampat Singhania University, India & Lincoln University College, Malaysia)
DOI: 10.4018/979-8-3693-2440-0.ch009
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Abstract
In this chapter, the effects of cutting-edge artificial intelligence (AI) technologies at edge computing are examined in higher education. Edge computing offers a decentralized method of computing in which processing is done near the data source. Due to less network traffic, response times can be quicker. AI technology can be implemented at the edge to offer instructors and students intelligent and individualized services. The chapter addresses the advantages of edge computing and AI in higher education, including enhanced student involvement, better learning results, and simplified administrative procedures. It also looks at the difficulties of implementing AI at the edge, such as data privacy and security issues. To fully fulfill the potential of AI, the article's conclusion emphasizes the necessity for additional study in this field.
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