Hershey, Pennsylvania
New York, New YorkBeijing, China

Call for Chapters: AI Education Strategies for Future-Proofing Curriculum Design

Editors

Reda Abdelaal, Independent Researcher, Egypt
Mustafa Kayyali, Maaref University of Applied Sciences, Syrian Arab Republic

Call for Chapters

Proposals Submission Deadline: March 23, 2025
Full Chapters Due: July 6, 2025
Submission Date: July 6, 2025

Introduction

The rapid advancement of artificial intelligence (AI) is reshaping the educational landscape, necessitating a transformation in curriculum design to equip students with the skills required for an AI-driven future. This book explores strategies for integrating AI into education, ensuring that curricula remain dynamic, future-proof, and aligned with evolving workforce demands. It bridges the gap between traditional pedagogical approaches and emerging AI-driven methodologies, emphasizing the importance of adaptability, interdisciplinary collaboration, and digital fluency. Through case studies, innovative frameworks, and practical implementation strategies, this book highlights how institutions worldwide are successfully embedding AI into their teaching and learning practices. Beyond curriculum design, the book examines the broader implications of AI in education, including ethical considerations, the role of AI in personalized learning, and the potential challenges of AI-driven assessments. It also explores how AI can enhance faculty development, support institutional decision-making, and foster a culture of continuous innovation in higher education. By analyzing best practices and addressing potential barriers, this book provides actionable insights for institutions seeking to navigate the complexities of AI integration effectively.

Objective

The primary objective of AI Education Strategies for Future-Proofing Curriculum Design is to provide a comprehensive framework for integrating artificial intelligence (AI) into educational curricula, ensuring that higher education institutions remain responsive to technological advancements and workforce demands. This book aims to bridge the gap between traditional educational models and the transformative potential of AI, offering practical strategies, case studies, and innovative approaches for designing curricula that prepare students for an AI-driven future. By critically analyzing existing pedagogical frameworks and their limitations, this book will contribute to the ongoing discourse on AI in education, highlighting both opportunities and challenges. It will explore key areas such as AI-driven personalized learning, adaptive assessments, digital ethics, faculty development, and interdisciplinary collaboration. Additionally, it will address institutional readiness, policy considerations, and the evolving role of educators in an AI-enhanced learning environment.

Target Audience

AI Education Strategies for Future-Proofing Curriculum Design is intended for a diverse audience of educators, researchers, policymakers, and industry professionals committed to integrating artificial intelligence (AI) into education. Educators and curriculum designers will benefit from practical frameworks for incorporating AI into teaching and learning while fostering digital literacy, critical thinking, and adaptability among students. Higher education administrators and policymakers will find valuable insights for institutional decision-making, accreditation, and policy development related to AI adoption in academic programs. Researchers and scholars engaged in AI-driven education research and pedagogy will gain a deeper understanding of AI’s impact on curriculum design, learning methodologies, and ethical considerations. Technology and AI specialists in education, including EdTech developers and IT professionals, will discover strategies for designing and implementing AI applications in learning environments. Industry leaders and employers seeking to align education with workforce demands will gain a clearer perspective on how AI-driven curricula can better prepare students for AI-enhanced industries. Additionally, government and nonprofit organizations focused on education policy, digital transformation, and workforce development will benefit from insights into leveraging AI to enhance accessibility, inclusivity, and lifelong learning. By providing strategic guidance and evidence-based research, this book equips key stakeholders with the knowledge and tools needed to create AI-driven education systems that are innovative, adaptable, and future-ready.

Recommended Topics

The book AI Education Strategies for Future-Proofing Curriculum Design welcomes contributions on a wide range of topics related to the integration of artificial intelligence (AI) into education. Recommended topics include, but are not limited to, the following: 1. AI-driven curriculum design for higher education institutions 2. The role of AI in personalized learning and adaptive assessments 3. Case studies of successful AI integration in academic programs 4. Bridging the gap between academia and industry through AI education 5. AI-enhanced teaching methodologies and pedagogical innovations 6. The ethical implications of AI in curriculum development 7. AI-driven student support systems and academic advising 8. Strategies for training educators in AI literacy and implementation 9. The impact of AI on interdisciplinary education and research 10. AI-powered learning management systems and digital classrooms 11. Challenges and opportunities in AI-based remote and online learning 12. The role of AI in competency-based education and lifelong learning 13. Developing AI-based assessment and feedback systems 14. Using AI to foster creativity, critical thinking, and innovation in students 15. Best practices for integrating AI and machine learning in STEM education 16. AI’s role in enhancing accessibility and inclusive education 17. Policy considerations for AI adoption in academic institutions 18. AI in research methodologies: opportunities and challenges 19. AI-assisted grading and academic integrity concerns 20. AI-driven career guidance and workforce preparation programs 21. The use of AI chatbots and virtual assistants in education 22. Data privacy and security in AI-powered education 23. The future of AI in humanities and social sciences education 24. AI-enhanced collaboration and teamwork in virtual learning environments 25. Implementing AI in vocational and technical education 26. AI-driven educational entrepreneurship and innovation hubs 27. The role of AI in faculty professional development and training 28. Institutional challenges and resistance to AI adoption in education 29. AI applications in academic libraries and research databases 30. Predictive analytics in student performance and retention strategies

Submission Procedure

Researchers and practitioners are invited to submit on or before March 23, 2025, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by April 6, 2025 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by July 6, 2025, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, AI Education Strategies for Future-Proofing Curriculum Design. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global Scientific Publishing (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2026.



Important Dates

March 23, 2025: Proposal Submission Deadline
April 6, 2025: Notification of Acceptance
July 6, 2025: Full Chapter Submission
September 7, 2025: Review Results Returned
October 19, 2025: Final Acceptance Notification
November 2, 2025: Final Chapter Submission



Inquiries

Reda Abdelaal
Independent Researcher
redawithyou@gmail.com

Mustafa Kayyali
Maaref University of Applied Sciences
kayyali@heranking.com



Classifications


Business and Management; Education; Media and Communications
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