Student data is key to learning. The best way to collect it is less clear.

Fifteen years ago, only one state publicly tracked the number of students missing enough school to be considered chronically absent.

Now, 49 states publish data online about chronic absenteeism, which is generally defined as missing 10% or more of the academic year. Data has been key to tackling an attendance problem that ballooned during the pandemic to nearly a third of students. The rate of chronic absenteeism has dipped modestly in many places, but it remains elevated compared with pre-pandemic school years.

“If you don’t know that a problem exists, you don’t act on it,” says Hedy Chang, executive director of Attendance Works, a nonprofit focused on reducing chronic absenteeism.

Why We Wrote This

From test scores to absenteeism, data drives much of what educators know about students and how to help them. States are now more involved in tracking trends, but with the extent of a federal role increasingly less clear, the door is opening for talk of reform.

Chronic absenteeism is among numerous data points collected by local, state, and federal education officials in a bid to improve student learning. It’s typically a behind-the-scenes task that comes to light every so often via test scores, graduation rates, and other markers of student success or struggles.

But the future of federal data collection is murky given deep downsizing at the Education Department and a proposed budget for the upcoming fiscal year that slashes funding for the Institute of Education Sciences (IES). The Trump administration’s funding request for IES – the research and data arm of the department – totals $261.3 million. That represents a 67% decrease from fiscal year 2024.

The question underlying possible congressional approval: Will this worsen education outcomes for America’s schoolchildren, who already are struggling with generational low test scores? Or could reforming the way in which data is studied jumpstart an effort to improve federal research?

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