Impact and Role of AI Technologies in Teaching, Learning, and Research in Higher Education

Impact and Role of AI Technologies in Teaching, Learning, and Research in Higher Education

Pradeep Tomar, Shivani Verma
Copyright: © 2021 |Pages: 14
DOI: 10.4018/978-1-7998-4763-2.ch012
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Abstract

The future of higher education is intrinsically linked with developments on new technologies and computing capacities of the new intelligent machines. In this field, advances in artificial intelligence open to new possibilities and challenges for teaching and learning in higher education with the potential to fundamentally change governance and the internal architecture of institutions of higher education. The role of technology in higher learning is to enhance human thinking and to augment the educational process, not to reduce it to a set of procedures for content delivery, control, and assessment. With the rise of AI solutions, it is increasingly important for educational institutions to stay alert and see if the power of control over hidden algorithms that run them is not monopolized by tech-lords. This chapter will cover all the positive and negative aspects of AI technologies on teaching, learning, and research in higher education.
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2. Impact Of Artificial Intelligent

One important roles of modern education systems is the creation of skills that enable people to participate in life's economic sphere. Education systems history has an intimate relationship to the development of industrial society, and in industry societies and their daily lives, wage labour remains a central organization. Therefore, employment is also interpreted as a means of work in high-level political discussions. In this understanding, schooling is an important engine of economic development and competition, and in the sense of economic growth educational policies are framed. Therefore, it is important to understand how AI can change jobs and employment even in the sense of educational policies. The question of how automation and computerization raise unemployment was important to economists. Improved as computers. The future of general AI is rather agnostic for most current AI scientists.

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