An International Analysis of Educational AI Policies and Practices in North America, Europe, and the Middle East
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- Description
- Contents
- About
Artificial Intelligence (AI) is redefining traditional educational paradigms from personalized learning systems and automated grading to intelligent tutoring and predictive analytics. However, the implementation of AI in education is not uniform across the globe. Countries differ significantly in their approaches to AI integration, influenced by factors such as national policies, funding availability, technological infrastructure, and cultural perspectives on education and automation.
By analyzing national policies, reforms initiatives, major projects, strengths and challenges, and emerging trends in AI in education from countries in three major world regions - North America, Europe, and the Middle East - An International Analysis of Educational AI Policies and Practices in North America, Europe, and the Middle East offers valuable insights into the evolving role of AI in education and its potential to bridge - or widen - gaps in learning opportunities. Whether you are an educator, policymaker, researcher, or technology developer, this comprehensive study will serve as a guide to understanding the complexities and opportunities of AI within the global education ecosystem.
An International Analysis of Educational AI Policies and Practices in North America, Europe, and the Middle East, read in conjunction with its companion volume, An International Analysis of Educational AI Policies and Practices in Asia and Africa, provides a timely and in-depth exploration of the global landscape of AI-driven education and offers a comparative analysis of the policies, strategies, and best practices adopted across diverse education systems. Together, these companion volumes examine how different nations leverage AI to enhance student engagement, improve assessment methods, and streamline administrative processes. They also highlight challenges, including ethical considerations, data privacy concerns, and digital divides that may affect the equitable implementation of AI in education.
Part I. North America
- Chapter 1. AI in U.S. Education Policy: Federal Signals, Local Translations, and an Evolving Policy Ecology; Yanbei Chen and Yanling Cui
- Chapter 2. Artificial Intelligence in Canadian Education: A Postsecondary Focus; James R. Delain and Gregory P. Tidwell
- Chapter 3. Artificial Intelligence in Mexico's Education System; Lourdes M. Barragan
- Part II. Europe and the Middle East
- Chapter 4. AI at the Forefront: The United Arab Emirates' Role in Shaping a New Digital Frontier; Jessica C. Calhoun
- Chapter 5. AI Integration in German Education System; Soroth San and Emma Pate
- Chapter 6. Artificial Intelligence in Education in Türkiye: Policies, Practices, and Future Directions; Ibrahim Kizil and Aras Bozkurt
Jing Lei is a Professor of Instructional Design, Development, and Evaluation in the School of Education at Syracuse University, USA.
Moon-Heum Cho is a Professor of Instructional Design, Development, and Evaluation in the School of Education at Syracuse University, USA.
Yanbei Chen is a doctoral student in Instructional Design, Development, and Evaluation in the School of Education at Syracuse University, USA.