|
|
|||
|
||||
OverviewArtificial intelligence (AI) reshapes the landscape of education, with personalized learning emerging as a promising application. By analyzing individual student data and adapting content, pace, and feedback to each learner's needs, AI may transform traditional instruction into a more tailored and effective experience. This shift also raises important questions about privacy, equity, and the role of teachers in AI-driven classrooms. As education systems explore the possibilities of AI, examining both the benefits and the challenges is crucial. Further exploration into how AI is redefining personalized education may reveal new innovations in the future of learning. Artificial Intelligence and the Future of Personalized Education explores how AI drives the development of personalized education by adapting learning experiences to individual student needs, preferences, and performance. It examines the benefits, like increased engagement and improved outcomes, as well as challenges like data privacy, accessibility, and the role of educators. This book covers topics such as chatbots, lifelong learning, and special education, and is a useful resource for educators, computer engineers, academicians, researchers, and scientists. Full Product DetailsAuthor: Aras BozkurtPublisher: IGI Global Imprint: Information Science Reference ISBN: 9798337375755Pages: 464 Publication Date: 23 October 2025 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationAras Bozkurt is a researcher and faculty member at Anadolu University, Türkiye. With MA and PhD degrees in distance education, Dr. Bozkurt's work focuses on empirical studies in areas such as distance education, online learning, networked learning, and educational technology. He applies critical theories like connectivism, rhizomatic learning, and heutagogy to his research. Dr. Bozkurt is also interested in emerging research paradigms, including social network analysis, sentiment analysis, and data mining. Dr. Bozkurt's studies also cover the integration of artificial intelligence technologies into educational processes in the axis of human-machine interaction. His dedication to advancing the field is reflected in his editorial roles as the Editor-in-Chief of Open Praxis and Asian Journal of Distance Education, as well as his roles as an associate editor for prestigious journals like Higher Education Research and Development, Online Learning, eLearn Magazine, and Computer Applications in Engineering Education. Tab Content 6Author Website:Countries AvailableAll regions |
||||