Artificial intelligence (AI) and data science have the potential to address the challenges the education field faces. By integrating AI into the educational system, such as through personalized learning experiences to intelligent tutoring systems, AI can help tailor educational content to individual students' needs, improving engagement and outcomes. Data science can be used to analyze educational data, uncover insights, and inform decision-making. The result is that teachers may be given the tools and knowledge they need to excel in the classroom. This shift not only improves educational outcomes but also prepares students for a data-driven future.
Driving Quality Education Through AI and Data Science explores how advancements in AI and data science can be utilized to enhance the quality of education. It provides insights, strategies, and best practices for leveraging AI and data science technologies to enhance teaching and learning. Covering topics such as data-driven decisions, at-risk students, and student performance prediction, this book is an excellent resource for educators, policymakers, professionals, researchers, scholars, academicians, and more.