Publisher's Synopsis
AI-Driven Education: Transforming Teaching, Learning, and Data-Driven Decision Making explores the growing impact of artificial intelligence (AI)-powered tools - such as intelligent tutoring systems, personalized learning platforms, adaptive assessments, and predictive analytics - on modern education. AI is reshaping the education landscape by transforming teaching methodologies, enhancing student learning experiences, and enabling data-driven decision-making. This book provides a comprehensive analysis of AI's role in education, offering insights into how these technologies can improve learning outcomes, optimize institutional performance, and address educational disparities. It examines how AI-driven solutions support educators by automating administrative tasks, enabling real-time feedback, and fostering personalized learning pathways. Additionally, the book discusses the ethical challenges associated with AI adoption, including concerns about data privacy, algorithmic bias, and the importance of maintaining human oversight in AI-driven learning environments.Designed for educators, administrators, policymakers, and ed-tech professionals, this book bridges the gap between theory and practice. It presents real-world applications, case studies, and emerging trends to equip readers with the knowledge and tools needed to implement AI in education effectively. Whether you are an AI advocate, a skeptic, or simply curious about its impact, this book offers valuable perspectives on the evolving relationship between AI and education. By addressing both the opportunities and challenges of AI-driven learning, AI-Driven Education provides a forward-looking exploration of how AI can revolutionize education while ensuring student-centered, ethical, and equitable learning experiences.
