This study examines what forms of data school leaders use, how they matter for students' learning, and which school contexts matter for such leadership practices to succeed. Utilizing hierarchical linear modeling, we analyzed survey responses from 1,381 school leaders and administrative data from 269 Florida schools. We find that although school…

This action research takes place at a small, New England public school system in Hopkinton, MA, and was designed to build the capacity of educators by utilizing a cycle of inquiry to improve Data-Driven Decision Making. The action steps of this study established a building-based Student Learning Team at Hopkinton Middle School which, in…

Administrators at a Southeastern elementary school eliminated single-sex instructional grouping in 5th-grade classes without a proper analysis of all available data and later reflected upon whether this instructional model should be revived. Because data-based decisions may positively improve teaching and learning for all stakeholders, the purpose…

The schools in the United States undergo reforms that involve the integration of data-intensive improvement process known as strategic improvement plans (SIPs). This process requires digital systems to set goals, create interventions, use and analyse student data, monitor and report SIPs. A challenge with digital systems is the integration of a…

The basic concept of personalized learning (PL) -- instruction that is focused on meeting students' individual learning needs while incorporating their interests and preferences -- has been a longstanding practice in U.S. K-12 education. Options for personalization have increased as personal computing devices have become increasingly affordable…

Since 2004, AISD has conducted an annual survey to monitor campus staff's perceptions of their school environment. The survey measures elements of teaching and learning conditions most critical to school success.