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Showing posts with the label big data

Brainpage Reading in Digital Sectors: Search History as Digital Capital

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Brainpage Reading  in digital sectors has transformed the way data is collected, analyzed and used. It includes mind reading, interests reading, thought reading, search history, action reading and words reading, all of which form a user’s digital brainpage maps and modules. Brainpage Reading in Digital Sectors: Development and Privacy Every interaction on a browser, search engine or digital platform creates search history that is stored in data banks. This information is then applied in fields such as the economy, academy, technology, industry, entertainment and trade, fueling growth and innovation. At the same time, search history has become a form of digital capital, as companies may sell user data to earn profits. While data science plays a central role in development, the commercial use of personal information raises serious concerns about privacy, security and ethical misuse. 🔴 Brainpage reading shows how digital life has shifted from simple online activity to a powerful syst...

Learning Analytics in the Context of Learnography: Enhancing Knowledge Transfer and Academic Success

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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...