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Building a Data-Driven Culture to Support Math Achievement

Creating the conditions for teachers to access and use data effectively and efficiently

Technology and data are transforming the way we teach and learn math. Today, educators have the opportunity to access a tremendous amount of data, but to leverage the power effectively they need an environment that actively supports and nurtures data-driven learning. It’s up to district administrators and building leaders to create those conditions for success. A strong data culture is built on three key pillars:

  1. Fostering an environment of collaboration. Teachers need time to come together, compare notes, and reflect on classroom practices. It’s essential to create an environment which empowers data coaches and data teams to work together to identify, understand, and close learning gaps. Try to organize the school day to provide opportunities for educators to meet regularly to collaborate on data-informed ways to improve teaching and learning.
  2. Focusing on continuous improvement. Classrooms, schools, and school systems that have data-driven cultures use data as a means of continuous improvement, and make sure to provide the professional learning that educators need to understand the most effective use of data and assess leading indicators of learning.
  3. Making the most of real-time insights into the learning process. The most important breakthrough in formative assessment in math is the ability to “peek” into the process of learning—that is the way a student constructs meaning, forms understanding, and makes learning decisions. Innovative edtech gives us a critical window into how students learn, and educators can use that insight to inform instruction. For example, DreamBox accumulates learning process data every time a student logs in to play. In fact, the platform collects more than 48,000 data points every hour, tracking each student interaction and evaluating the strategies used to solve problems. It then immediately adjusts the lesson and the level of difficulty, scaffolding, sequencing, number of hints, and pacing to accommodate each child’s unique learning process. In short, DreamBox. Individually tailors instruction based on how a learner learns.

Today, educators have access to better tools and better data than ever before. And, the enablement of ongoing formative assessment and immediately actionable data is yielding real results for teachers and students alike. To see real-world examples of how data-driven approaches are improving outcomes, download the whitepaper, Creating a Data-Driven Culture to Reach Math Achievement Goals. Find out how you can use data to inform, influence, and improve instruction in your district, plus get an 8-step plan for creating a data-driven culture.

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