Collaborative data inquiry can help schools serve their students better and improve student outcomes--but only if equity is prioritized. Researchers from Harvard's Data Wise Project discuss the importance of using an equity lens when engaging in collaborative data inquiry and what this can mean in terms of disrupting system inequities.

The "Every Student Succeeds Act" requires that student's test scores be disaggregated by racial characteristics. Nevertheless, the author's recent study suggests that K-12 school principals may not intentionally think about race when they collect, interpret, analyze, and make decisions about data. By not disaggregating data by race,…

School leaders are often drowning in data but are unsure which forms of data will help them create a portrait of student achievement that will motivate staff to look beyond simple trends and delve deeper into root causes. Teachers often wish for more guidance on the kinds of data analysis and teaching strategies that will help them move the needle…

Schools are awash in data, and teachers are being asked to gather data in a myriad of high-tech and low-tech ways. But gathering is not analyzing, and without analysis there is little reason to gather the data in the first place. Teachers need data-collection systems that lend themselves to rapid analysis and action. This article presents several…

The key practices that improve struggling schools, writes Chenoweth--a researcher who's studied successful high-poverty schools and their leaders--aren't a mystery. From both decades of research and the craft knowledge of educators who've jumped in and turned around schools, we know these practices generally yield improvement: (1) a…

This article describes a language arts teacher's two-tiered way of using assessment data, which uses both standardized assessment data and teacher-created "skills" inventories. Standardized test data may help see where a learner performed in a previous year on items that often do not line up too well with future content. Standardized…

Despite repeated calls for educators to get more instructional mileage out of the assessment data they have at hand, two deterrents typically stand in the way of most educators' effective use of test data. First, there's a missing "realization", and second, there's a missing "skill". Educators who possess both this realization and this skill will…

Has the academic achievement gap between high-income and low-income students changed over the last few decades? If so, why? And what can schools do about it? Researcher Sean F. Reardon conducted a comprehensive analysis of research to answer these questions and came up with some striking findings. In this article, he shows that income-related…

Few school leaders are experiencing a shortage of data. Most are actually drowning in data, with a wealth of test scores, student demographic information, and an increasing load of "formative" assessment data that may or may not be worthy of the name (Popham, 2008). The challenge is facing both an overabundance of data and a scarcity of…

Federal policy now focuses on teacher "effectiveness" rather than teacher "quality" as its central policy concern. Rather than measuring inputs, the new focus looks to measure the outcomes of a teacher's work--that is, the extent to which the educator has met crucial student needs, such as improved student achievement. As…

Like the ancient sailor in "The Rime of the Ancient Mariner" who lamented, "water, water everywhere nor any drop to drink," many teachers feel awash in a sea of assessment data that they don't know how to use. Part of the solution, Fisher and Frey claim, is for educators to understand the three components of any effective…

Six high-performing/high-poverty schools provide insights into what it takes to make a dramatic turnaround. School leaders had to make tough calls--and many of those decisions were about how to use resources. The budget in a high-performing, high-poverty school is a moral document, reflective of the school's beliefs about the conditions necessary…

The purpose of this paper is to attempt to operationalize a number of Gall's criteria in order to measure whether there is any empirical relationship between these criteria and the level of teacher questions. (Author)

A primer for schools attempting to analyze the data they collect. Describes ways schools can get a better picture of how to improve learning by gathering, intersecting, and organizing four categories of data more efficiently: (1) demographic data; (2) student-learning data; (3) perceptions data; and (4) school-processes data. (WFA)

Schools and districts rarely have a fair distribution of teacher talent. Poor children and black children are less likely to be taught by the strongest teachers and more likely to be taught by the weakest. Several districts have implemented programs to reduce the teacher quality gap. Hamilton County, Tennessee, launched an initiative that included…