Impact and Latest Trends of Intelligent Learning With Artificial Intelligence

Impact and Latest Trends of Intelligent Learning With Artificial Intelligence

Aditi Sakalle (Gautam Buddha University, India), Pradeep Tomar (Gautam Buddha University, India), Harshit Bhardwaj (Gautam Buddha University, India) and Uttam Sharma (Gautam Buddha University, India)
DOI: 10.4018/978-1-7998-4763-2.ch011

Abstract

Artificial intelligence (AI) has been used mainly on education in some methods that contribute to the development of competencies and test systems. With the continued development of educational AI solutions, it is hoped that AI will help address the need for learning, education, and teaching. AI can enhance performance, personalization, and streamline administrative tasks in order to give teachers time and freedom to learn and adapt—uniquely human skills that would battle on machines. The AI dream of education is one where the best results for students are obtained, based on the best qualities of machinery and teachers. The development of curriculum based on the specific needs of individual students has been a concern for educators for many years, but the AI presents teachers with an unprecedented degree of distinction to handle 30 students in each class. With AI many possibilities can be seen in the teaching and learning system considering interest and understanding of an individual, which will increase efficiency of the education system.
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Introduction

AI can be difficult to describe, particularly for practitioners. One explanation is that AI is continually evolving. Nick Bostrom, a leading AI researcher at the University of Oxford, states “A number of cutting-edge AIs have been introduced into general implementations, often without being referred to as AIs, because it is generally fairly and widely no longer called AI” Rather, the software or an algorithm or method is called a machine but not an AI. The interdisciplinary existence of the field is another reason for the difficulties of describing the AI. Everyone contributes to the field of AI and each category carries its own experience and terms, anthropologists, biologists, computer scientists, linguists, historians, psychologists, and neuroscientists.

One way to describe AI is as computer systems programmed to communicate with the environment by skill, for example, visual perception and speech recognition, and smart behavior (e.g. analyzing the knowledge available and taking the most appropriate steps to accomplish a given objective) which we find to be inherently humane. AI is used more and more easily in our everyday lives. To order to improve financial decision-making, for instance, Scientists are now drawing on emerging methods to machine learning, statistical simulation, and probability statistics, to using decision analysis to neuroscience to create more successful medical diagnostics. And it is expected this growth to begin at an early stage–particularly, we believe, with OpenAI, a non-profit artificial intelligence testing company with a nominal $1B investment.

The AI use in education and learning will rise by 47.5% by 2021, as a result of a report released by eSchool news. Across the lowest education level to higher education institutions, the impact of this development is felt. It enables personalized coaching strategies for the enhancement of student environments. Artificial intelligence will let the students know how their career choices rely on their goals to support them above and beyond academics. The impact of AI is Intelligent learning and is visible with time.

Is AI Trying to Run Over People?

Many scientists are concerned that AI is a Pandora box with harmful results. Back in 1993, informatician Vernon Vinge popularized the notion of singularity that makes an AI computer or robot to reinvent and develop itself or construct AI more advanced than itself. It's likely, it is claimed, that this will lead to AI which far exceeds human intellect, intellect, and power (Vinge,1993). Most recently Stuart Russell, Max Tegmark, and Frank Wilczek, including Stephen Hawking and other leading scientists, have warned us of AI's potentials being too smart (Hawking et al.,2014). For many decades, after 2001, this troubling notion has fuelled Hollywood films: Space Odyssey in the' 60s, the Terminator of the 1980s, and the new transcendencies-all reflecting an out-of-control AI vision of the Dystopian universe. Yet it's worth remembering the emerging capabilities of artificial intelligence before we get too worried. Great improvement in' general IA' would be required for any singularity to arise if it would effectively fulfill any analytical function that a person may have. And General AI isn't currently available. General AI is somewhat different from the “site AI” that most of us know about. These domain-specific AIs are based on one thing-e.g. mastering chess (Deep Blue or Go (Google's Deep Mind), driving a car (Google's cars), or recognizing that a passport photograph is a person's picture.

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