Leveraging Artificial Intelligence to Transform Teacher Education Accreditation: A Framework for Innovation and Equity - Hardcover
Synopsis
This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability. Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AI—ethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation. From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity.
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About the Author
Anne Tapp Jaksa, Ph.D. Professor of undergraduate and graduate Teacher Education, College of Education, Saginaw Valley State University, University Center, MI. Tapp Jaksa is the Chair for the American Association of Colleges for Teacher Education (AACTE) Board of Directors. She serves on the Council for the Accreditation of Educator Preparation (CAEP) Board of Directors and is the Director of Professional Development for the University of Michigan Center for Digital Curricula. Her research interests focus on Artificial Intelligence (AI) within the P-12 and university classrooms and digital learning. Tapp Jaksa received the Teacher of the Year award when teaching P-12 and SVSU's Landee Award for Teaching Excellence at the university level. She is the author of several publications.
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Hardcover. Condition: new. Hardcover. This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AIethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity. Leveraging Artificial Intelligence to Transform Teacher Education Accreditation provides a comprehensive framework for integrating AI into teacher education accreditation, emphasizing ethical considerations, data privacy, and continuous improvement strategies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798216375210
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Leveraging Artificial Intelligence to Transform Teacher Education Accreditation : A Framework for Innovation and Equity
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Buch. Condition: Neu. Neuware - This book explores how emerging technologies are reshaping the landscape of higher education quality assurance. Focused on educator preparation programs (EPPs), this timely volume examines how AI tools can transform data-driven decision-making, streamline accreditation processes, and promote institutional equity and accountability.Written by accreditation experts, the book moves beyond technical explanations to address the human dimensions of AI-ethics, fairness, transparency, and professional judgment. Through real-world examples and research-based insights, it offers practical guidance for integrating AI responsibly into accreditation systems while maintaining the integrity of educational evaluation.From automated data analysis to predictive modeling and ethical oversight, the book highlights both the opportunities and risks of AI-driven transformation. Grounded in current scholarship and informed by decades of accreditation practice, this work invites faculty, administrators, and policymakers to imagine a future where innovation and human judgment coexist to advance continuous improvement, educational quality, and professional integrity. Seller Inventory # 9798216375210
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