Chaminda Hewage – författare

This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides an extensive discussion and methodologies related to STEM education to enhance future educational opportunities.Inclusive Education: STEM in the Age of Modern AI explores and provides an educational support system for students with special needs within the STEM education framework. The book is composed of five chapters. Chapter 1 introduces the evolution of inclusive education during the last two decades. This chapter also discusses the importance of having an equal education and current challenges in inclusive education. Chapter 2 discusses the AI methodologies that can provide solutions to inclusive education. Furthermore, it discusses how modern AI approaches, such as Generative AI (GenAI) and Large Language Models (LLMs), are integrated into inclusive education support systems. Chapter 3 introduces AI-supported systems for analyzing emotional and behavioral aspects in STEM education. Enhancing STEM learning for visual and hearing impairments has been discussed in Chapter 4. Finally, Chapter 5 introduces the Metaverse approach as a methodology for inclusive learning support in distance learning education.The book is written for a wide audience, such as STEM module learners, teachers, researchers, system developers, medical professionals, and industrial professionals, who interact in modern AI and education support system development.

This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides an extensive discussion and methodologies related to STEM education to enhance future educational opportunities.Inclusive Education: STEM in the Age of Modern AI explores and provides an educational support system for students with special needs within the STEM education framework. The book is composed of five chapters. Chapter 1 introduces the evolution of inclusive education during the last two decades. This chapter also discusses the importance of having an equal education and current challenges in inclusive education. Chapter 2 discusses the AI methodologies that can provide solutions to inclusive education. Furthermore, it discusses how modern AI approaches, such as Generative AI (GenAI) and Large Language Models (LLMs), are integrated into inclusive education support systems. Chapter 3 introduces AI-supported systems for analyzing emotional and behavioral aspects in STEM education. Enhancing STEM learning for visual and hearing impairments has been discussed in Chapter 4. Finally, Chapter 5 introduces the Metaverse approach as a methodology for inclusive learning support in distance learning education.The book is written for a wide audience, such as STEM module learners, teachers, researchers, system developers, medical professionals, and industrial professionals, who interact in modern AI and education support system development.

Researchers and students studying/working in data protection and related security fields will find this book useful as a reference.

Researchers and students studying/working in data protection and related security fields will find this book useful as a reference.

This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies.

This book presents selected papers from International Conference on Responsible Artificial Intelligence (ICRAI 2024), held on 16–17 December 2024, in Mangalore University, Mangalore, India. The topics covered in the book are responsible AI solutions, equitable AI solutions, transparent AI solutions, generative AI solutions, policies and regulations on AI, deepfakes and privacy, network monitoring and control, and tackling misinformation and disinformation.