Exploring the Implications of Emerging Artificial Intelligence Technologies at Edge Computing in Higher Education

Author:

Unogwu Omega John1ORCID,Doshi Ruchi1ORCID,Hiran Kamal Kant2,Mijwil Maad M.3ORCID,Catherine Ankar Tersoo4,Abotaleb Mostafa5ORCID

Affiliation:

1. Azteca University, Mexico

2. Sir Padampat Singhania University, India

3. Baghdad College of Economic Sciences University, Iraq

4. College of Education, Oju, Nigeria

5. South Ural State University, Russia

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.

Publisher

IGI Global

Reference39 articles.

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4. Can artificial intelligence transform higher education?

5. Bonderud, D. (2021). What Is Edge Computing, and How Can It Be Leveraged for Higher Ed? EdTech. https://edtechmagazine.com/higher/article/2021/11/what-edge-computing-and-how-can-it-be-leveraged-higher-ed-perfcon

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