Next-Generation AI Methodologies in Education

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Dr. Eriona Çela

University of New York Tirana

Albania

Assoc. Prof. Narasimha Rao Vajjhala
University of New York Tirana
Albania

Assoc. Prof. Mathias Fonkam
Pennsylvania State University
USA

About the Book

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.

DOI: 10.4018/979-8-3693-7220-3

ISBN13: 9798369372203

Note: There are NO submission or acceptance fees for manuscripts submitted to this book publication.

Research Questions

The research questions guiding this proposed book project include:

How can artificial intelligence (AI) technologies be effectively integrated into teaching methodologies in secondary schools and colleges to enhance personalized learning?
What are the ethical considerations and challenges of using AI in educational settings, and how can they be addressed to ensure equitable access and privacy?
In what ways can AI-powered learning analytics improve educational outcomes, and what are the methodological considerations for their implementation?
How do AI-driven gamification and virtual assistants impact student engagement and support outside the traditional classroom setting?
What are the future prospects for AI in education, and how can educational institutions prepare for emerging AI technologies?

Topics (Suggestive but not limited to)

The proposed tentative content for this book is given below:

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

Submission Guidelines

All papers must be original and not simultaneously submitted to another book, journal, or conference.

Kindly note the following when submitting your book chapter:

Submit an initial proposal, including the title of the chapter and the problem/purpose statement explaining the proposed chapter. The deadline for submission of the initial proposal (500 words) is July 28, 2024.
Submit your proposal through the following link:

https://www.igi-global.com/publish/call-for-papers/submit/7634

The full chapter is due by October 13, 2024.
The length of the chapter should be 5,000-7,000 words.
The paper should be formatted per the template provided, and APA 7th edition style of references should be used in the chapter. The template will be sent to the authors after the acceptance of the initial proposal.
Chapter Template
Call for Papers is also available here: