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Learning Analytics

Learning Analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. It involves applying data science techniques to educational data to gain insights into student performance, engagement, and learning processes. This field combines educational theory with data analysis to improve teaching, learning outcomes, and institutional decision-making.

Also known as: LA, Educational Analytics, Learning Data Analysis, EdTech Analytics, Student Analytics
🧊Why learn Learning Analytics?

Developers should learn Learning Analytics when building educational technology (EdTech) platforms, online learning systems, or corporate training tools to enhance user experience and effectiveness. It's crucial for creating adaptive learning systems that personalize content, identifying at-risk students for early intervention, and optimizing course design based on data-driven insights. This skill is valuable in roles involving data visualization, predictive modeling, or educational software development.

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