Artificial Intelligence in Education

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The quest for building an artificial brain developed in the fields of computer science and psychology. Artificial intelligence (AI), sometimes called machine intelligence, refers to intelligence demonstrated by machines, while the natural intelligence is the intelligence displayed by humans and animals. Typically, AI systems demonstrate at least some of the following human behaviors: planning, learning, reasoning, problem solving, knowledge representation, perception, speech recognition, decision-making, language translation, motion, manipulation, intelligence, and creativity. Artificial intelligence is an emerging technology which the educational sector can benefit from. In this book, we consider the applications of AI in key areas of education. Artificial intelligence in education (AIED) refers to the application of AI technologies in educational settings to facilitate teaching, learning, or decision making. AI will impact the education field in the areas of administration, instruction, and personalized, and individualized learning applications. In this book, AI is specifically applied in the following key educational sectors: education, natural sciences, social sciences, computer science, engineering, business, and medicine.

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A. Matthew N. O. Sadiku is presently a professor emeritus of electrical and computer engineering at Prairie View A&M University, Prairie View, TX. He is the author of over 950 professional papers and over 90 books. He can be reached via email at [email protected] B. Sarhan M. Musa is a professor in Electrical and Computer Engineering Department at Prairie View A&M University. He holds a Ph.D. in Electrical Engineering from the City University of New York. He is the founder and director of Prairie View Networking Academy (PVNA), Texas. C. Uwakwe C. Chukwu is an Associate Professor in the Department of Electrical Engineering Technology of South Carolina State University, Orangeburg, SC. He has published 6 books and over 70 professional research papers in international journals and Engineering conferences.

A. Matthew N. O. Sadiku is presently a professor emeritus of electrical and computer engineering at Prairie View A&M University, Prairie View, TX. He is the author of over 950 professional papers and over 90 books. He can be reached via email at [email protected] B. Sarhan M. Musa is a professor in Electrical and Computer Engineering Department at Prairie View A&M University. He holds a Ph.D. in Electrical Engineering from the City University of New York. He is the founder and director of Prairie View Networking Academy (PVNA), Texas. C. Uwakwe C. Chukwu is an Associate Professor in the Department of Electrical Engineering Technology of South Carolina State University, Orangeburg, SC. He has published 6 books and over 70 professional research papers in international journals and Engineering conferences.

A. Matthew N. O. Sadiku is presently a professor emeritus of electrical and computer engineering at Prairie View A&M University, Prairie View, TX. He is the author of over 950 professional papers and over 90 books. He can be reached via email at [email protected] B. Sarhan M. Musa is a professor in Electrical and Computer Engineering Department at Prairie View A&M University. He holds a Ph.D. in Electrical Engineering from the City University of New York. He is the founder and director of Prairie View Networking Academy (PVNA), Texas. C. Uwakwe C. Chukwu is an Associate Professor in the Department of Electrical Engineering Technology of South Carolina State University, Orangeburg, SC. He has published 6 books and over 70 professional research papers in international journals and Engineering conferences.

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