Plagiarism Checker Ai
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Artificial Intelligence in Higher Education
Author: Prathamesh Padmakar Churi
language: en
Publisher: CRC Press
Release Date: 2022-08-29
The global adoption of technology in education is transforming the way we teach and learn. Artificial Intelligence is one of the disruptive techniques to customize the experience of different learning groups, teachers, and tutors. This book offers knowledge in intelligent teaching/learning systems, and advances in e-learning and assessment systems. The book highlights the broad field of artificial intelligence applications in education, regarding any type of artificial intelligence that is correlated with education. It discusses learning methodologies, intelligent tutoring systems, intelligent student guidance and assessments, intelligent education chatbots, and artificial tutors and presents the practicality and applicability implications of AI in education. The book offers new and current research along with case studies showing the latest techniques and educational activities. The book will find interest with academicians which includes teachers, students of various disciplines, higher education policymakers who believe in transforming the education industry, and research scholars who are pursuing their Ph.D. or Post Doc. in the field of Education Technology, Education, and Learning, etc. and those working in the area of Education Technology and Artificial Intelligence such industry professionals in education management and e-learning companies.
Teaching with AI
"This work is the first book that describes how teachers can responsibly use generative AI in their classrooms"--
AI Future
“AI Future” explores how artificial intelligence (AI), virtual reality (VR), and machine learning (ML) are transforming education globally. The book argues that strategic and ethical implementation of these technologies can significantly enhance learning outcomes and bridge educational divides. It emphasizes the potential for AI to create personalized learning experiences, adapting to individual student needs, and democratizing access to information. One intriguing fact is how AI algorithms analyze student data to customize learning paths. The book begins with fundamental concepts, tracing AI's evolution and integrating it into educational platforms. Subsequent chapters delve into personalized learning, VR/AR applications, and AI-powered assessment. It examines how VR can create immersive learning environments and how AI automates assessment, providing personalized feedback. “AI Future” uniquely presents an analysis framework for evaluating AI tools based on accessibility, scalability, and adaptability. Ethical considerations, such as data privacy and algorithmic bias, are also addressed. The book concludes with recommendations for educators and policymakers on harnessing AI for a more equitable education system, supported by case studies and research. This comprehensive approach makes it valuable for understanding and implementing AI in educational settings.