- Home
- ACADEMIC
- Education
- Technology and Education
- Leveraging Artificial Intelligence to Transform Teacher Education Accreditation
Leveraging Artificial Intelligence to Transform Teacher Education Accreditation
A Framework for Innovation and Equity
Leveraging Artificial Intelligence to Transform Teacher Education Accreditation
A Framework for Innovation and Equity
Payment for this pre-order will be taken when the item becomes available
You must sign in to add this item to your wishlist. Please sign in or create an account
Description
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.
Table of Contents
Chapter 2: AI in Data-Driven Decision-Making for Accreditation
Chapter 3: Ethical Considerations and Challenges in AI-Driven Accreditation
Chapter 4: AI in Self-Study Reports and Accreditation Compliance
Chapter 5: AI and Continuous Improvement in Educator Preparation
Chapter 6: Strategic Implementation of AI in Accreditation
Chapter 7: The Future of AI in Teacher Education Accreditation
Product details
| Published | Jul 23 2026 |
|---|---|
| Format | Ebook (Epub & Mobi) |
| Edition | 1st |
| Extent | 144 |
| ISBN | 9798216375197 |
| Imprint | Bloomsbury Academic |
| Illustrations | 12 b/w figures, 14 textboxes |
| Publisher | Bloomsbury Publishing |
About the contributors
Reviews
-
A timely and important contribution to the field, this work shows how AI can be ethically and effectively harnessed to support continuous improvement in educator preparation. It is grounded in both research and the realities of accreditation, making it essential reading for institutional leaders and accreditors alike.
Christopher Koch, Ph.D., President, Council for the Accreditation of Education of Educator Preparation
-
This book offers a much-needed roadmap for integrating emerging technologies into educator preparation while maintaining a deep commitment to equity and professional judgment. It bridges the gap between innovation and integrity-just what our accreditation systems need in an AI-driven era.
Cheryl Holcomb-McCoy, Ph.D., President and CEO, American Association of Colleges for Teacher Education
-
Leveraging Artificial Intelligence to Transform Teacher Education Accreditation: A Framework for Innovation and Equity thoughtfully addresses how educators and institutions can embrace innovation without compromising ethical responsibility. This is a powerful resource for anyone working at the intersection of educational technology, policy, and teacher education."
Elliot Soloway, Ph.D., Arthur F. Thurnau Professor, Department of Computer Science and Engineering, College of Engineering, School of Information, School of Education, University of Michigan

























