Artificial Intelligence in Higher Education

Artificial Intelligence in Higher Education

Tanaya Krishna Jupalli, Mulka Sai Tharun Reddy, Hari Kishan Kondaveeti
Copyright: © 2023 |Pages: 30
DOI: 10.4018/978-1-6684-5400-8.ch001
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Abstract

In the past decades, AI was not playing a pivotal role in technology. But now, artificial intelligence is a key part of the revolution of technology. AI has become a powerful tool in recent years, enabling machines to think and act like humans. AI helps in developing a better approach to teaching students (i.e., adaptive learning where a computer algorithm identifies the rate of learning of a student and adapts itself so that the student learns efficiently). The aim of implementing AI in education is not to replace tutors, but to assist them in understanding the potential and limitations of each student individually. This chapter will cover the introduction, existing applications, and new applications of artificial intelligence in higher education. The prime focus of the chapter will be on the approaches to different product developments and their implementation using artificial intelligence in the education sector. It provides a brief idea of how the existing applications solve the problems in higher education and new approaches to make higher education more efficient.
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Background

Artificial intelligence

An Intelligent entity capable of solving tasks and thinking and acting rationally and humanly without training explicitly. Artificial Intelligence (AI) is applied to almost all fields like healthcare, navigation, lifestyle, etc. AI is divided into six sub parts as shown in Figure 1.

Figure 1.

Subsets of AI

978-1-6684-5400-8.ch001.f01

Machine Learning (ML)

Machine Learning (ML) coined by Arthur Samuel (Roberto Iriondo & Pratik Shukla, 2022), is a subset of AI that helps a computer to acquire data automatically and learn from the experiences or instances it has encountered. ML helps us in completing a task or work without any extensive programming.

ML accentuates the development of algorithms that can analyze data and generate predictions. There is significant use of MLin the Health Care Industry.

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