Educational Assessment and Improvement

Data-driven decision making in education examines how schools and districts collect, interpret, and act on evidence—ranging from student performance metrics to classroom observation records—to improve teaching and learning. Getting this right is harder than it sounds: even when good data exist, teachers and administrators often lack the training, time, or organizational support to translate numbers into meaningful instructional changes. Researchers are therefore investigating how professional learning communities, research-practice partnerships, and school inspection regimes can build the data literacy needed to close that gap. Open questions include how accountability pressures shape whether educators use data for genuine improvement or merely for compliance, and how to design information systems that support teacher judgment rather than replace it.

Works

37,266

Total citations

278,375

Keywords

Data UseEducational ImprovementResearch-Practice PartnershipsTeacher Decision MakingSchool InspectionsInstructional Improvement