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How Machine Learning Cultivates a Deeper Understanding of K-12 Student Data

Big data isn’t new to K-12 education. However, it is continuing to evolve and create more opportunities to improve student success and district operations. But data alone is not enough to make these improvements happen. 

Unlike straightforward data mining, machine learning solutions don’t collect data for data’s sake—they look for relationships that can be molded into actionable insights. These deeper insights address the more complex factors that make up a student’s experience. 

Technology with predictive capabilities transforms those details into actionable data, empowering teachers, administrators, and support personnel to proactively identify red flags and decide how to provide support. Machine learning reveals nuanced insights that educators otherwise might not have the time to identify, allowing them to see more quickly which students need support and to what extent. 

In this report, learn about the influence of today’s data culture on school districts, explore how machine learning is transforming education, and discover how PowerSchool Unified Insights solutions can help improve student outcomes. 

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