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...

The learnography approach has emerged as a transformative paradigm, emphasizing the active role of students in their own learning process . Unlike traditional education models where teachers are the primary source of knowledge, learnography places students at the center of learning experience, with teachers acting as facilitators and guides. Learnography Approach to Knowledge Transfer This shift fosters deeper engagement, critical thinking and independent learning, ultimately leading to more effective knowledge transfer . We explore the core principles of learnography approach, its benefits and its implications for the future of education. Discover the transformative learnography approach where teachers guide and students lead in the process of knowledge transfer. Learnography Approach: Core Principles The learnography approach is built on several core principles that distinguish it from traditional educational methods: Student-Centered Learning Active Engagement Brainpage Development...