An essential element of learning is knowing whether or not you are making progress, and what you should change if your aren't making the progress you expected and are capable of.
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Collecting Prediction Data
http://www.edweek.org/dd/
But it's important not to stop there, says Marcy Lauck, the manager of continuous improvement for California's 32,000-student San Jose Unified district, which is close to launching a particularly detailed predictor model that takes into account the more typical factors such as test scores and attendance, but also looks at students' physical-fitness levels, other health issues, and socioeconomic standing.
Lauck says districts working to predict how students will do must also collect data on the interventions used to move those students back on track.
"The biggest challenge is to understand which interventions are successful for which kids and to collect data on that, too," she says. "We're really looking at how to capture that data and quantify it to let us know if we're being successful."
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