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What is Learning Analytics And Why Should It Be Used

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Ravi Devulapalli
What is Learning Analytics And Why Should It Be Used

The use of data in education is not new. However, advances in technology in terms of data collection, analysis, and visualization have created an environment where the questions that data can answer are more specific, more timely, and more tailored to the needs of individual stakeholders. By being able to see the key information at the right time, those involved with a student, including the student themselves, can be informed about their status and the steps needed to help them succeed.

Learning Analytics: Definition

“Learning analytics refers to the collection and analysis of data about learners and their environments for the purpose of understanding and improving learning outcomes.”  (Northeastern University, 2020) Education institutions use learning analytics to understand, share, and even predict, more about student learning, the environment and how to make decisions that can optimize teaching and learning, to promote equity and academic success.

What does that really mean?

Simply stated, it is the process of using analytic tools, in combination with the expertise of teachers, curriculum leaders, data coaches, and administrators to extract the insights about student performance, including social emotive learning (SEL), that are generated daily in classrooms and in online learning. Those insights should drive the process of examining, and if needed, changing the teaching, learning, and environments.

Is it just reporting?

Read more on What is Learning Analytics and Why Should It Be Used in our blog.

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Ravi Devulapalli
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