Call for Chapters: Next-Generation AI Methodologies in Education

This book will explore the cutting-edge intersection of artificial intelligence and educational practices, examining how Artificial Intelligence (AI) revolutionizes teaching methodologies in secondary schools and colleges. This book will comprehensively investigate the emerging discipline of AI-driven education, highlighting its potential to enhance personalized learning, increase educational accessibility, and transform traditional pedagogical methods. Through a series of detailed case studies, this book will illustrate practical examples of AI integration in various educational settings, showcasing the successes and challenges of implementing AI tools such as adaptive learning systems, AI tutors, and data-driven curriculum adjustments. These case studies will demonstrate AI's current capabilities in education and provide educators and administrators with actionable insights for adopting similar technologies in their institutions. This book will introduce the fundamental concepts of artificial intelligence, tailored specifically for educational professionals without a technical background. The chapters in this book will discuss the implications of AI in education, including ethical considerations, the role of teachers alongside AI, and the future possibilities for AI in enhancing learning outcomes. This book will serve as an essential resource for educators, policymakers, and educational technology developers, offering a visionary perspective on the evolving landscape of education in the AI era. This book aims to equip readers with the knowledge and tools necessary to navigate and lead the transformation in educational environments, fostering a generation of adept learners interacting with advanced technologies.

The primary objective of this book is to demystify the role and potential of artificial intelligence in modern educational settings. This book aims to inform educational professionals about AI technologies and their practical applications in teaching. This book will also provide empirical evidence and case studies from schools and colleges to showcase how AI can be integrated effectively. This book will guide educators and administrators in implementing AI tools within their curricula and teaching methodologies. This book will address the ethical considerations and challenges associated with AI in education, promoting a balanced and informed approach to technology adoption.

The impact of this book will be significant and multifaceted. This book will highlight successful case studies and provide a framework for implementation by encouraging educational institutions to adopt AI-driven methodologies, leading to more personalized, engaging, and efficient teaching, and learning experiences. This book will serve as a valuable resource for policymakers and educational leaders, informing decisions on curriculum changes, technological investments, and policy formulations related to AI in education. This book will stimulate further research into AI applications in education, encouraging more rigorous studies on the effectiveness and impact of AI tools. Educators will gain insights into how AI can be utilized to enhance their teaching practices, professional development, and student interaction.

The book will provide value to the educational community by offering practical, actionable advice for integrating AI into educational practices. This advice is grounded in real-world examples, making it a credible and useful resource for educators looking to navigate the technological landscape effectively. By focusing on case studies, the book reassures the audience about the efficacy of AI in education. This book will also address the ethical dimensions of AI, helping educators understand and navigate potential pitfalls, such as data privacy issues and biases in AI algorithms. The discussion on future trends and emerging technologies prepares educators and institutions for ongoing and upcoming changes, ensuring they remain at the forefront of educational technology.

The target audience for this book will be:

• Educators: Educators across all academic levels, from primary to tertiary education, regardless of their subject expertise.
• Curriculum Developers: Professionals who design and develop educational content and syllabi.
• School Administrators: Principals, deans, and other decision-makers looking to innovate and enhance their school's educational methods.
• Education Researchers: Those studying pedagogical methods, digital literacy, and 21st-century learning paradigms.
• Policy Makers: Government officials or bodies responsible for shaping educational policies.
• Teacher Training Institutions: Institutions that offer professional development courses for educators.
• EdTech Entrepreneurs: Individuals or companies developing educational technology tools and platforms that can benefit from integrating computational thinking principles.

The interdisciplinary nature of this book will ensure that it has a wide market appeal. The demand for innovative pedagogical tools and strategies is global, making this publication relevant for audiences across the world, irrespective of their educational or cultural backgrounds. This book will be highly relevant in today’s technology-driven educational landscape. With the increasing integration of AI tools in educational settings, this publication meets a growing need for comprehensive, accessible information on harnessing AI for teaching. The book will also be appropriate for both developed and developing countries as it can provide insights into scalable and adaptable AI teaching methods that can be customized to varied educational and resource settings.

• Introduction to Artificial Intelligence in Education
• The Fundamentals of AI and Its Educational Applications
• Core AI Technologies and Their Mechanisms
• AI Tools Commonly Used in Education: From Machine Learning to Natural Language Processing
• Benefits of AI-Powered Learning
• Challenges and Considerations for AI in Education
• Case Studies of AI Implementation in Secondary Schools
• Adaptive Learning Systems and Personalized Education
• Enhancing Engagement through AI-Driven Gamification
• AI in Special Education: Addressing Diverse Learning Needs
• Case Studies of AI Use in Colleges
• AI-Assisted Curriculum Design and Course Management
• Virtual Assistants and Tutors: Extending Support Beyond the Classroom
• Data Analytics for Improved Academic Outcomes
• Methodological Considerations in AI Teaching
• Designing AI-Integrated Lessons
• Assessing the Effectiveness of AI Tools in Teaching
• AI-Powered Learning Analytics and Feedback
• Ethical and Societal Implications of AI in Education
• Privacy, Security, and Data Handling
• Equity and Access: Avoiding AI Bias
• The Role of Teachers in an AI-Enhanced Educational Landscape
• Innovative Teaching Strategies Enhanced by AI
• Collaborative Learning Facilitated by AI
• AI in Assessment and Feedback Mechanisms
• Future-Oriented Learning Skills and AI
• Implementing AI in Educational Institutions
• Infrastructure and Investment Needs for AI Integration
• Training Educators for the AI Future
• Case Examples of Successful AI Adoption Strategies
• Future Trends and Emerging Technologies in AI Education
• AI’s Role in Lifelong Learning and Professional Development
• Cutting-edge AI Research and Its Implications for Education
• Predictions for AI in Education Over the Next Decade
• AI-Empowered Teachers: Optimizing Instruction
• Emerging Trends in AI and Education
• The Evolving Role of Teachers in the AI-Powered Classroom
• The Global Impact of AI on Education
• Reimagining Education with AI
• Future Prospects and Final Thoughts on Navigating the AI Revolution in Education

Researchers and practitioners are invited to submit on or before June 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 July 14, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by October 13, 2024, 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, Next-Generation AI Methodologies in Education. 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.

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.

June 30, 2024: Proposal Submission Deadline
July 14, 2024: Notification of Acceptance
October 13, 2024: Full Chapter Submission
December 15, 2024: Review Results Returned
January 26, 2025: Final Acceptance Notification
February 9, 2025: Final Chapter Submission

Dr. Eriona Çela

Assistant Professor,

Department of Psychology and Education

Faculty of Law and Social Sciences

University of New York Tirana

erionacela@unyt.edu.al

Assoc. Prof. Narasimha Rao Vajjhala

Dean, Faculty of Engineering and Architecture,

University of New York Tirana

narasimharao@unyt.edu.al

Assoc. Prof. Mathias Fonkam

Penn State College of Information Sciences and Technology

Penn State University

mfonkam@gmail.com