Converting Proactive Data Use from theory to practice.

Student success is education’s purpose.  Student success, as measured by student results is how we evaluate our programs and services.  But we won’t succeed if we focus on evaluative data sets daily. 

As we previously noted: Success comes from focusing on a series of process quality measures that are highly correlated with student success.  These measures called leading measures or process performance measures must be collected and analyzed on a regular basis at all levels of the organization.  They are constant feedback on how well we are succeeding with students.  These non-evaluative measures should guide our daily work and they help keep us on track for the end of program or end of school evaluation measures that we value.  They inform our process management and assure work quality.

The measures are called leading because they occur during the instructional process, not at the end of it like so many of the performance measures currently used in state accountability systems.  Leading measures monitor daily work based on research and best practices. 

An educational solution with strong process quality data is more sophisticated than ones that don’t.  As we analyze products to share with you, we first start with their performance success.  Do they actually work with a range of students? Once we find those that do, we further refine our focus on their ability to produce actionable data “in-process”.  Teachers need information about individual students and their progress if they are going to know a product is working and how to provide support to students using a product.

Three of our favorite products are incredibly sophisticated in the ability to provide on-demand process information.  We can see students making academic progress, improving reading skills, and improving math skills with these three products.  We don’t need to wait for state accountability measures.  We know our students who are using these products with fidelity are going to succeed far beyond state expectations.

Pivot – assessment and data warehousing capabilities that put formative and in-process measures.  Perfectly aligned to the continuous improvement effort.

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MindPlay – student skills and progress information and usage rates with a direct correlation to students learning to read.  If students use the program with fidelity, they will learn to read, guaranteed.  As near to proactive data use perfection we’ve ever found.

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Ascend Math - student skills and progress information and usage rates with a direct correlation to students learning math.  If students use the program with fidelity, they will learn math.  Extremely useful proactive data around math performance.

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Robert Sommers