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OverviewThe integration of artificial intelligence (AI) in education presents opportunities and ethical challenges. As AI systems become integrated in teaching, learning, and administrative processes, the need for clear policies and responsible practices becomes urgent. Ethical AI integration requires a balance between innovation and accountability, ensuring technologies promote equity, protect student data, uphold academic integrity, and support human educators. Further exploration of the intersection of policy and practice in guiding the ethical use of AI in education may reveal the importance of inclusive governance, transparency, and ongoing evaluation in shaping a student-centered educational system. Policy and Practice for Ethical AI Integration in Education explores how policies and practical guidelines ensure the ethical integration of AI technologies in educational settings. It examines issues like data privacy, algorithmic bias, transparency, and the role of educators and policymakers in promoting fairness, accountability, and inclusivity. This book covers topics such as ethics and law, student engagement, and curriculum development, and is a useful resource for educators, policymakers, computer engineers, academicians, researchers, and scientists. Full Product DetailsAuthor: Aras BozkurtPublisher: IGI Global Imprint: Information Science Reference ISBN: 9798337375700Pages: 408 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 |
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