AI in Education: Designing Personalized Learning Pathways

Education is shifting from a one-size-fits-all model to a personalized approach driven by artificial intelligence. Understanding how to integrate these tools effectively allows educators and instructional designers to meet students exactly where they are. This text-based course guides you through the foundational concepts of AI in education, focusing on adaptive learning systems and personalized pathways. You will learn to evaluate educational technology, design customized learning journeys, and implement ethical AI practices to enhance student engagement and outcomes. What you'll learn: - Understand the core terminology of machine learning and adaptive algorithms in educational settings - Design personalized learning pathways that adapt to individual student progress and performance - Apply prompt engineering techniques to generate customized educational content and tutoring prompts - Evaluate AI-driven feedback systems to provide timely and targeted guidance to learners - Address privacy, data security, and ethical considerations when implementing AI in the classroom - Analyze modern generative AI tools and their role in supporting diverse learning needs The course begins with essential terminology and the history of adaptive learning before moving into practical design strategies and modern generative AI applications. You will explore written case studies and complete practical exercises to build your own implementation plan. This course is designed for teachers, instructional designers, educational administrators, and technology enthusiasts who are new to AI and want to understand its practical application in learning environments. No prior technical or programming experience is required. Start reading today to transform your educational practice with the power of personalized learning.