Learning With Artificial Intelligence Systems

Artificial intelligence (AI) is a part of our lives. Everything that we do on the internet is influenced to various extents by AI. It can automate various tasks in education as well as in other domains. Education domain is mainly benefited by AI, especially for the learning purpose. There may be the software to perform all activities which needs automation. This software can point out that course needs improvement. An AI software can give students and educators helpful feedback. Data, which is powered by AI, also helps schools, teachers, and supports students. There are lots of benefits of AI in education, which improves the learning experience of the students, for example personalization, teaching, grading, feedback on course quality, creating a global classroom, monitoring performance, and a lot more. When a new promising technology emerges and when the limitation of technology and the challenges of applying are often not perfectly understood, then the technology may seem to open radically new possibilities for solving old problems.

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

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.

Impact and Latest Trends of Intelligent Learning With Artificial Intelligence

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.

Simulation of Human Brain

AI is a branch of computer science that gives the ability to a computer to think and make decisions like humans. It stimulates the human brain in the computer and makes appropriate decisions when required. AI-enabled education impacts the designing of curriculum, mode of instruction, and many more. The use of these tools revolutionizing the education sector with the progression of ICT tools have now become AI-enabled. The main feature of an AI-enabled tool is personalization. These AI-enabled tools work like intelligent assistants for the students. The intelligent system having features like answer the queries of the students, give assistance, support learning, provide or take assignments, and provide reinforcement material according to their opted courses. A teacher has a minimum intervention with this process and has the role of a facilitator only. This chapter concludes that the AI-enabled teaching-learning process can't replace the classroom teaching; instead, it is handy. In the future, AI could replace the need of a teacher in class to some extent.

Teaching and Learning With Artificial Intelligence

Artificial intelligence (AI) is developing at a fast speed and has incessantly impacted the modern world for decades. AI technologies are beneficial for all kinds of industries, including businesses, economics, transportation, hospitals, schools, universities, and so forth. Many researchers have investigated the development of artificial intelligence in education (AIEd), specifically on how AI assists teaching, learning, assessment, references, and collaboration. Several questions arise. What impact do AI technologies have on education? How do AI technologies assist teaching (e.g., curriculum, assessment, student learning, and teaching practices)? How do teachers cope with AI Technologies in education? What are the ethical concerns of AI technologies? What are the barriers of AI-based learning in education? The purpose of this chapter is to explore the evolution and the challenges of AI technologies in education. Major research on AI from 1999 to 2019 will be reviewed. Problems with AI in education will be raised and solutions for solving the issues will be recommended.

Artificial Intelligence and Its Implications in Education

Computer equipment, software, and online service have succeeded in introducing improvements and enhancements to the classrooms and teaching methods in recent years. Yet, using artificial intelligence (AI), the real disruption of education has to come. Artificial intelligence has proven its position as a game-changing force in various fields, in the past causing unprecedented transformations. Using AI, expert systems can be programmed to communicate with the environment through technologies such as visual perception, speech recognition, and intellectual behavior, which we can find to be inherently human. This chapter aims to discuss the role of artificial intelligence in the education sector including its market size, the effect of AI in education, case studies of current AI presence in education (smart content, smart tutoring systems, virtual facilitators, and learning environments, etc.) to improve learning and life outcomes for all. Finally, chapter concludes with the issues and problems.

Impact of Artificial and Natural Intelligence Technologies With Avatar-Based Teaching, Learning, and Research in Russian Modern Universities

This chapter has presented the idea and use of artificial and natural intelligence technologies. A system of professional education, on the one hand, is one of the main institutions of human socialization, and the formation of a harmoniously developed, active, creative personality, on the other hand, ensures the reproduction and development of the personnel potential of the society. Realization of the goals of education is carried out in interaction with the socioeconomic environment, the dynamic change of which predetermines the conditions for the activity of educational institutions. An acceleration of scientific and technological progress in all areas of knowledge raises the task for ensuring the continuous growth of professional skills throughout the whole life. Structural and institutional replacing in professional education is reflected in various models of higher professional education. These alternative technology-mediated environments reflect the increasing need to serve a generation of learners who prefer to learn through experience or by interacting with learning tools.

Artificial Intelligence-Based Knowledge Representation and Reasoning

The quality of higher education can be enhanced only by upgrading the content and skills towards knowledge. Hence, knowledge representation and reasoning play a chief role to represent the facts, beliefs, and information, and inferring the logical interpretation of represented knowledge stored in the knowledge bases. This chapter provide a broad overview of knowledge, representation, and reasoning along with the related art of study in the field of higher education. Various artificial intelligent-based knowledge representation and reasoning techniques and schemes are provided for better representation of facts, beliefs, and information. Various reasoning types are discussed in order to infer the right meaning of the knowledge followed by various issues of knowledge representation and reasoning. .

Self-Learning System for Child Development Using Conversational AI and Natural Language Processing (NLP)

Education and learning are the most important aspects of the evolution of societies. They have been a favorite subject for philosophers and psychologists to work upon. Same questions are now being re-dealt by computer scientists in current scenarios. Although evolution is a continuous process, the pace of evolution is not a linear graph. Children acquire a huge amount of knowledge with very little input from teachers, friends, parents, and surroundings. Understanding how human brain works and more precisely, how the child brain actually functions is opening the path of researches in artificial intelligence (AI).

Artificial Intelligence in Higher Education and Learning

Artificial intelligence is an emerging technology that is popular in education technology. AI plays a vital role to e-teaching and e-learning in higher education. In this chapter, a major focus is on exploring the wonders of the development of AI in higher education for teaching and learning processes. It analyses the educational ramifications of rising innovations in transit student learning and how organizations instruct and develop. Late inventive degrees of progress and the accelerating new headway in cutting edge training are researched to predict the future thought of cutting-edge instruction in all actuality. The role of AI in higher education is presented in detail by systematic review.