Creating better assessments is only one piece of the puzzle. We must also deliver information back to teachers in ways that are meaningful and actionable.
With the right design, digital learning activities can reduce the amount of student work that teachers review and score.
But how can teachers still get enough detail about student activity to help them assess student progress while avoiding data overload?
Over the course of a school day, teachers make countless instructional decisions that affect learning outcomes. They use all kinds of data — from anecdotal observations to assessment results — to guide their decision-making.
While the path from data to decisions is complex, research tells us that data interpretation is an important step.
Presenting insights from high-quality assessments, homework, online programs, and more into clear learner profiles can help teachers personalized learning through data-driven instruction.