Call for Chapters: Revolutionizing Secure Learning in the Age of AI

Editors

Stephen Aikins, University of South Florida, United States
Alex Kumi-Yeboah, University at Albany, State University of New York, United States
Benjamin Yankson, University at Albany, State University at New York, United States

Call for Chapters

Proposals Submission Deadline: November 30, 2024
Full Chapters Due: February 28, 2025

Introduction

In the rapidly evolving digital age, artificial intelligence (AI) is revolutionizing education, offering unprecedented opportunities for personalized learning, automation, and data-driven insights. However, with these advancements come significant challenges related to accessibility, inclusivity, and the security and privacy of students. As AI becomes increasingly integrated into learning environments, both in K-12 and higher education, educators, administrators, and policymakers must navigate the complexities of ensuring accessible, inclusive, secure, ethical, and effective learning experiences. This edited book, Revolutionizing Secure Learning in the Age of Artificial Intelligence explores the multifaceted impact of AI in education, with a focus not only on ensuring secure, trustworthy and ethical learning environments, but also on leveraging AI to enhance student engagement, improve accessibility, and foster innovative pedagogical best practices. As AI tools become more embedded in instructional methods, grading systems (i.e. assessments), and student performance tracking, sensitive personal data is being collected and analyzed at unprecedented levels. This poses serious risks regarding data breaches, misuse of information, and threats to students' privacy rights. By integrating intelligent tutoring systems, predictive analytics, and AI-driven assessments, educators are able to offer more personalized and efficient learning experiences. AI’s potential to analyze vast amounts of student data allows for the identification of learning patterns and the customization of curriculum to meet diverse learner needs. As AI permeates all facets of education, it is crucial to balance these benefits with considerations for accessibility, data security, equity, inclusivity, and the overall integrity of the learning experience.

Objective

The purpose of Revolutionizing Secure Learning in the Age of Artificial Intelligence is to provide a well-rounded exploration of how AI is transforming K-12 and higher education from multiple angles—pedagogical, technological, administrative, and ethical. While the book will certainly address important concerns around data privacy, cybersecurity, and the responsible use of AI, it will also highlight AI's capacity to democratize education, reduce teacher workloads, and support underserved populations through greater accessibility. The book will also address the practical applications of AI, showcasing case studies and real-world examples that highlight the innovative ways AI is being integrated into classrooms and educational institutions. By combining theoretical insights with practical case studies, this edited volume will serve as a resource for educators, researchers, policymakers, and technologists seeking to understand how AI can both challenge and elevate the future of secure, equitable, and innovative learning environments. This book will bring together international scholars to provide the theoretical and practical contexts for understanding how AI is transforming the educational landscape, and to explore the intersection of AI-driven innovation and the critical need for accessible and secure educational environments. The need for this book is undeniably pressing. In a world increasingly governed by algorithms and data, the implications of AI in education extend far beyond mere efficiency gains. They touch upon the very essence of data security, accessibility, inclusivity and ethical considerations. Yet, despite the rapid evolution of AI technologies and their integration into teaching and learning, there exists a critical knowledge gap. A lack of comprehensive insights, best practices, and up-to-date information hinders our ability to navigate this terrain effectively. This book steps into this void by offering a multidisciplinary exploration of AI's potential in education and the challenges it brings. Whether you're an educator looking to harness the transformative power of AI, a researcher seeking to unravel its complexities, or an administrator interested in the implications of AI-driven education, this book aims to provide valuable insights that speak to your concerns and interests. Ultimately, our aim is to bridge the knowledge gap and offer practical guidance for navigating the intricate terrain of AI in education. This book contributes to both academic research and practical teaching and learning, facilitating informed, ethical, and efficient adoption of AI technologies in education. As we embark on this journey through the realms of AI and education, we invite researchers to submit well-grounded theoretical and empirical-driven chapters, each offering unique perspectives, insights, and challenges that define the landscape of AI-driven education.

Target Audience

The primary audience for the edited book Revolutionizing Secure Learning in the Age of Artificial Intelligence will be K-12 teachers, University professors, graduate students, researchers, education administrators and other professionals in the field of education. Another key audience would be government officials and policymakers interested in AI use in education and its impact on accessibility, equity and inclusivity. In particular, practitioners in education will find actionable strategies for implementing AI in teaching and learning, and policymakers will gain insights into harnessing AI's potential to shape education policy and improve learning outcomes.

Recommended Topics

Prospective contributors are encouraged to submit chapter proposals for the book that seek to cover one or more of the following topics. Submissions are also encouraged from other topics, not listed below, that examine the transformative impacts of AI in education, the accessibility and security challenges and how they can be addressed. Case studies examining the uses of AI in educational settings of a specific country or countries are particularly welcome. • Theoretical Foundations: AI Pedagogy and Learning Theory • The Role of AI in Redefining Learning Landscapes • Personalized Learning Through AI: Adapting to Individual Student Needs • Enhancing Accessibility with AI: Inclusive Learning for All • Data-Driven Decision-Making in Education • Data Privacy and Security in AI-Driven Education Systems • Safeguarding the Digital Classroom: AI and Cybersecurity in Education • AI and Ethical Considerations in Education: Navigating Moral Dilemmas • Ethical AI Integration in Curriculum Design: Balancing Innovation and Integrity • Diversity, Equity and Inclusion (DEI) in AI Education • Virtual Classrooms and AI-Enhanced Teaching • AI and Cloud Security: Protecting Educational Data in Remote Learning Environments • Securing Student Data in the Age of AI: Best Practices for Data Storage and Management • Assessing with Intelligence: AI-Powered Evaluation Tools • AI-Powered Predictive Analytics: Supporting Student Success and Retention • AI-Enhanced Student Engagement: Using Gamification and Interactive Learning • Preparing Students for an AI-Driven Workforce: Teaching AI Literacy in Schools • The Role of AI in Detecting and Preventing Cyber Threats in Educational Institutions • Data Governance and AI in Education: Policies and Frameworks for Secure Data Use • AI-Powered Administrative Efficiencies: Reducing Teacher Workloads • AI and Teacher Professional Development: Continuous Learning in a Digital Age • AI in Student Support Services: Chatbots and Beyond • Education Policy and Regulation in the era of AI • Case Studies in Practical Uses of AI: Lessons Learned and How to Overcome them • AI-Driven Encryption Techniques for Protecting Sensitive Educational Data • The Future of Secure Learning in an AI-Enhanced World

Submission Procedure

Researchers and practitioners are invited to submit on or before November 30, 2024, 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 December 15, 2024 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 February 28, 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, Revolutionizing Secure Learning in the Age of AI. 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 (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 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 2025.

Important Dates

November 30, 2024: Proposal Submission Deadline
December 15, 2024: Notification of Acceptance
February 28, 2025: Full Chapter Submission
April 14, 2025: Review Results Returned
April 28, 2025: Final Acceptance Notification
May 15, 2025: Final Chapter Submission

Inquiries

Stephen Aikins
University of South Florida
saikins@usf.edu

Alex Kumi-Yeboah
University at Albany, State University of New York
akumi-yeboah@albany.edu

Benjamin Yankson
University at Albany, State University at New York
byankson@albany.edu

Classifications

Computer Science and Information Technology; Education; Library and Information Science

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