Foundations of Learning Analytics and Educational Data Tools

Every digital learning environment generates a wealth of data, but raw information is only valuable if you know how to interpret it. This text-based course guides you through the essential concepts and tools of learning analytics. You will learn how to extract meaningful insights from modern learning management systems, design educational dashboards, and apply basic predictive modeling to support student success. What you will learn: Understand the core concepts, terminology, and ethical frameworks of learning analytics; Explore data collection methods from modern learning management systems; Analyze student engagement and performance using fundamental statistical techniques; Design clear, actionable dashboards to visualize educational datasets; Apply modern data privacy standards and ethical guidelines to student data; Practice interpreting real-world learning scenarios to identify and assist struggling students. Starting with foundational definitions, the course progresses step-by-step through data preparation, analysis techniques, and visualization strategies. Through clear written explanations and practical scenarios, you will build a solid working knowledge of educational data. This beginner-friendly course is ideal for educators, instructional designers, and academic administrators. No prior programming or data science experience is required to begin. Begin reading today to transform raw educational data into actionable insights that empower learners.