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Data disaggregation is not merely about solving problems, but about discovering them. The effectiveness of data collection hinges on our ability to predict future outcomes based on historical performance. Only then does data become valuable. For instance, analyzing the three-year trend data in literacy and math for 6th and 7th grades illustrates the importance of understanding these outcomes to improve educational systems. To achieve different results, systemic change is essential. Leaders who commit to a singular, impactful vision create lasting legacies in education.
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Data Disaggregation What happens is not as important as how we react to what happens.
Disaggregation is not a problem-solving strategy. It is a problem-finding strategy.
Collecting data about a work process has very little meaning to us until we use this data to predict and draw conclusions about the future, based on the past performance of this process. Data is value-added only to the extent that it allows us to predict and draw conclusions about the future. (Neil Paulsen, Intel Corporation)
Three Year Trend Data – 6th Grade Literacy (percent proficient/advanced)
Three Year Trend Data – 7th Grade Literacy (percent proficient/advanced)
Three Year Trend Data – 6th Grade Math (percent proficient/advanced)
Three Year Trend Data – 7th Grade Math (percent proficient/advanced)
If we want to get different results, we have to change the system that creates the results.
The real voyage of discovery consists not in seeking new landscapes, but in seeing with new eyes. (Marcel Proust)
You have to know one big thing and stick with it. The leaders who had one very big idea and one very big commitment are the ones who created something of value. Those are the ones who leave a legacy.