Learning analytics refers to the collection, analysis and interpretation of knowledge transfer data related to students' learning behaviors, active learnography and academic success. The goal is to use this data to enhance the learning experience, improve knowledge transfer practices, and support students' academic success. Learning Analytics in Learnography: Enhancing Knowledge Transfer Success in Schools By analyzing data from various sources - such as learning transfer management systems (LTMS), student brainpage tests and application data . Moderators and institutions can make informed decisions to personalize knowledge transfer, identify struggling students early, and optimize the outcomes of student learnography. This article explores the use of learning analytics within the framework of learnography, focusing on how it can support personalized learning, improve course design, and predict academic success. Highlights: Learning Analytics: Data Collection, Analysis and Int...