Teacher evaluation systems that pair measures of teacher observation with measures of
student achievement or growth have become widespread. However, little attention has …

Exploratory data analysis (EDA) is an iterative, open-ended data analysis procedure that
allows practitioners to examine data without pre-conceived notions to advise improvement …

There is growing concern among researchers and governmental officials that knowing what
works in education is important, but not enough for school improvement. Sound evidence …

Purpose: New teacher effectiveness measures have the potential to influence how principals
hire teachers as they provide new and richer information about candidates to a traditionally …

Data-driven decision-making (DDDM) refers to the process of using data to inform
educational decisions. Due to DDDM's positive effects on student achievement and the …

This article describes a model for continuous improvement that guides the work of the
National Center on Scaling Up Effective Schools, or NCSU. NCSU is a research and …

Over the past few decades, instructional policy supports—encompassing standards,
curricula, and assessments—have featured centrally in the education reform movement. So …

School districts increasingly push school leaders to utilize multiple measures of teacher
effectiveness, such as observation ratings or value-added scores, in making talent …

The purpose of this study is to shed light on the use of data in early education settings—
specifically, North Carolina's Pre-K program. In this mixed-methods study, we draw upon in …

Prekindergarten (Pre-K) programs are provided in a variety of different physical locations,
including elementary school buildings, Head Start centers, and private child care centers. A …