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K12 Analytics to Prevent Students from Dropping Out

The average dropout rate of US high-school students is 9%, as of 2019. Though it decreased quite substantially over the last decade, this is still high. How can educational institutions lower this number, encouraging students to proceed with their studies?

Applying K12 data analytics can be a useful solution for dropout prevention in schools. Let’s find out what drives students to drop out and how high schools can leverage the power of AI, big data and machine learning to keep their learners motivated and engaged.

Read more on K12 Data Analytics for Dropout Prevention.

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Data-Driven Decision Making in Education: Best Tips for Teachers and Administration

Data storytelling, which stands for the process of interpreting the results of the data analysis, is one of the most powerful techniques used for data-driven decision-making. According to Gartner, by 2025, data stories will become the sources of the most valuable insights for any industry. The field of education, which is on the way to becoming data-driven, isn’t an exception.

Making data-supported decisions is the best way to achieve the ultimate efficiency of learning and teaching, improving the learners’ experience, increasing the satisfaction of both students and teachers, and even cutting the operational costs of an educational institution.

Let’s find out how Data-driven decision-making in education  changes the way we teach and learn.

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

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AnalyticVue is a Learning Analytics Platform that brings together data from disparate sources of student information for easy access, unified visualization, informed decision making and smart predictions. AnalyticVue leverages the advantages of AI and machine learning to help build individual learning paths, increase graduation rates and improve educational outcomes. Check out this video to find out how exactly AnalyticVue benefits different participants of the learning process, including teachers, district administrators, students and parents.