Leveraging Artificial Intelligence to Transform Teacher Education Accreditation
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Home > Society and Social Sciences > Education Books > Educational equipment and technology, computer-aided learning (CAL) > 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

Leveraging Artificial Intelligence to Transform Teacher Education Accreditation: A Framework for Innovation and Equity


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About the Book

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:

Foreword
Preface
Chapter 1: Artificial Intelligence’s Role in Teacher Education Accreditation and Continuous Improvement
Chapter 2: AI in Data-Driven Decision-Making for Accreditation
Chapter 3: Ethical Considerations and Challenges in AI-Driven Teacher Education Accreditation
Chapter 4: AI in Self-Study Reports and Accreditation Compliance
Chapter 5: Creating a Quality Assurance System (QAS) for Continuous Improvement and Efficiency
Chapter 6: Strategic and Ethical Implementation of AI in Accreditation
Chapter 7: Transformative Innovations and the Future of AI
Appendix A
Appendix B
Reference List



About the Author :
DRS. ANNE TAPP JAKSA, BETH KUBITSKEY, MALINA MONACO, and JOEY PEARSON are accreditation and educator preparation experts with extensive experience leading institutional and programmatic reviews across higher education. As recognized voices in quality assurance and continuous improvement, they bring deep expertise in data-informed decision-making, educational policy, and the ethical integration of AI into accreditation practice.

Review :
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. 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. 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."


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Product Details
  • ISBN-13: 9798216375210
  • Publisher: Bloomsbury Publishing PLC
  • Publisher Imprint: Bloomsbury Academic
  • Height: 216 mm
  • No of Pages: 152
  • Width: 140 mm
  • ISBN-10: 8216375212
  • Publisher Date: 23 Jul 2026
  • Binding: Hardback
  • Language: English
  • Sub Title: A Framework for Innovation and Equity


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