Call for Chapters: Transforming Vocational Education and Training Using AI

Editors

Eriona Çela, University of New York Tirana, Albania, Albania
Narasimha Rao Vajjhala, University of New York Tirana, Albania
Rajasekhara Mouly Potluri, Kazakh-British Technical University, Kazakhstan
Philip Eappen, Cape Breton University, Canada

Call for Chapters

Proposals Submission Deadline: September 30, 2024
Full Chapters Due: October 27, 2024

Introduction

Transforming Vocational Education and Training Using AI is a comprehensive examination of the transformative potential of artificial intelligence (AI) in vocational education and training (VET). This edited volume will bring together leading experts, practitioners, and researchers to explore the multifaceted ways AI can revolutionize the VET landscape, enhancing both the quality and accessibility of vocational training programs worldwide. This book will examine the evolution of VET and the current gaps within traditional training paradigms. By addressing these gaps, the chapters in this book will present AI technologies and their diverse applications, illustrating how machine learning, natural language processing, robotics, and automation can be seamlessly integrated into vocational curricula. The focus extends to AI-driven industry demands, highlighting how VET programs can be aligned with these needs to ensure learners are adequately prepared for the future workforce.



Objective

AI literacy is a critical theme, emphasizing its importance and offering best practices for designing AI-infused curricula. Through case studies and real-world examples, readers will gain insights into effective strategies for incorporating AI into teaching and learning processes. This book will also explore the pivotal role of partnerships between educational institutions and industries, showcasing how these collaborations can create robust internship opportunities and enhance VET programs. Ethical considerations, data privacy concerns, and the need to address biases and the digital divide are thoroughly examined, ensuring that the integration of AI in VET is both responsible and inclusive. The international best practices featured in this volume provide a global perspective, highlighting successful implementations of AI in vocational training across different regions. As we look toward the future, this book will offer predictions and recommendations for the ongoing evolution of AI in VET. Topics such as continuous innovation, knowledge exchange strategies, and the impact of AI on workforce development and skill adaptation will be explored in depth. Additionally, the book will cover emerging trends like personalized learning pathways, adaptive learning technologies, gamification, and virtual and augmented reality use in vocational training. Transforming Vocational Education and Training Using AI will be an essential resource for educators, policymakers, industry leaders, and researchers. This book will provide a holistic understanding of how AI can enhance vocational education, ensuring learners have the skills needed to thrive in an increasingly digital and automated world.



Target Audience

The target audience for this book includes a diverse range of stakeholders within the educational and industrial sectors. Primarily, educators and trainers in vocational education will find this book invaluable, as it offers detailed insights into integrating AI technologies into their curricula, thereby enhancing teaching methodologies and improving student outcomes. Additionally, policymakers and educational administrators who are responsible for shaping the future of vocational training programs will benefit from the comprehensive analysis of AI's potential to bridge current gaps and elevate the standards of vocational education globally. The practical strategies and case studies included in this book will enable them to make informed decisions about adopting and implementing AI-driven solutions in their institutions.

Moreover, industry leaders and business professionals invested in workforce development and training will better understand how AI can align vocational education with the evolving demands of the labor market. By exploring the intersection of AI and vocational training, this book provides valuable perspectives on creating effective partnerships between educational institutions and industries, facilitating robust internship programs, and ensuring that graduates possess the skills required for modern workplaces. Researchers and academics focused on AI, educational technologies, and workforce development will also find this book a rich source of knowledge, offering theoretical insights and practical applications. Overall, this book is designed to serve as a comprehensive guide for anyone involved in or interested in the transformative impact of AI on vocational education and training.<.p>

Recommended Topics

    The tentative content for this book is given below (recommended topics, but authors can propose new topics):
  • Evolution of Vocational Education and Training (VET)
  • AI Technologies and Their Applications in VET
  • AI-Driven Industry Demands and VET Preparedness
  • Current Gaps in Vocational Training Programs
  • AI Literacy: What It Means and Why It Matters
  • Designing AI-Infused Curricula: Best Practices and Case Studies
  • The Role of Machine Learning in VET
  • Natural Language Processing (NLP) in Vocational Training
  • Robotics and Automation in Vocational Education
  • Building Effective Partnerships Between Educational Institutions and Industry
  • Internship Opportunities in AI-Enhanced VET Programs
  • Policy and Regulatory Challenges in AI Integration
  • International Best Practices for AI in VET
  • Ethical Considerations in AI-Driven Vocational Training
  • Data Privacy Concerns in AI-Enhanced VET Programs
  • Addressing Bias and the Digital Divide in Vocational Education
  • Future Trends in AI and VET: Predictions and Recommendations
  • The Role of Continuous Innovation in AI-Enhanced VET
  • Strategies for Effective Knowledge Exchange in AI-VET Partnerships
  • The Impact of AI on Workforce Development and Skill Adaptation
  • Personalized Learning Pathways in AI-Enhanced VET
  • Adaptive Learning Technologies in Vocational Education
  • Gamification and AI: Engaging Students in VET
  • Virtual Reality (VR) and Augmented Reality (AR) in Vocational Training
  • AI-Driven Assessment and Certification in VET
  • Integrating AI in Remote and Online Vocational Training
  • AI for Predictive Maintenance in Vocational Skills Development
  • AI-Enhanced Career Guidance and Counseling in VET
  • Impact of AI on Traditional Trades and Craftsmanship Training
  • Success Stories and Case Studies of AI Integration in VET Globally
  • AI in Vocational Teacher Training and Professional Development
  • AI-Powered Tools for Enhancing Practical Skills Training
  • Leveraging AI for Real-Time Feedback and Skill Assessment
  • AI and the Development of Soft Skills in Vocational Education
  • Challenges and Solutions in Implementing AI in Rural VET Programs


Submission Procedure

Researchers and practitioners are invited to submit on or before September 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 October 14, 2024 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by October 27, 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, Transforming Vocational Education and Training Using 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

September 30, 2024: Proposal Submission Deadline
October 14, 2024: Notification of Acceptance
October 27, 2024: Full Chapter Submission
December 8, 2024: Review Results Returned
January 5, 2025: Final Acceptance Notification
January 12, 2025: Final Chapter Submission



Inquiries


Prof. Eriona Çela

University of New York Tirana, Albania

erionacela@unyt.edu.al



Narasimha Rao Vajjhala

University of New York Tirana

narasimharaonarasimha@gmail.com



Rajasekhara Mouly Potluri

Kazakh-British Technical University

prmouly24@gmail.com


Philip Eappen
Cape Breton University
philipeappen@gmail.com



Classifications


Computer Science and Information Technology; Education
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