Data can be a powerful tool for self-evaluation, goal setting, and advocacy in the school library. Regardless of the grade level or the size of the student body, any school library has meaningful data to mine and learn from. Basic data such as circulation numbers can impact a myriad of areas relevant to student learning such as collection…

Internationally, there has been a policy push for using student data for instruction. Yet, research has noted few examples of actually understanding how this data-use practice takes place. This study presents a case of an instructional data team making sense of student data. The study shares data to show how teachers' process for using data to…

The Conover Solution is a nonparametric method used to analyze relative growth in students' achievement on state tests administered on two or more occasions. However, there has been very little research assessing the robustness of this method in the presence of missing data. Using vertically scaled and non-vertically scaled data from the math…

This protocol guided the review of research that informed the recommendations contained in the What Works Clearinghouse (WWC) practice guide Using Student Achievement Data to Support Instructional Decision Making, published in September 2009. The research review involved the following steps: (1) The research staff searched the professional…

Many school systems ask teachers to assess and report upon aspects of student performance beyond academic achievement. In Ontario, K-12 teachers assess a common set of six Learning Skills and Work Habits. How well teachers are able to undertake these assessments is not well studied. This study examines Grade 9 and 12 report card data from two…

Accountability policies assume that educators will use student data to improve student learning, but data use in practice has turned out to be harder than theorized. The purpose of this article was to examine how science teachers in Grades 5 to 8 used data in their classrooms. Utilizing sensemaking theory, we found that teachers decided how to use…

Teachers face considerable and increasing pressure in their working lives. Labor intensification compels teachers to work faster, harder, and longer. However, teachers also experience increasing external control over what they teach and how they teach. These processes are increasingly made possible by the "datafication" of teaching,…

This article discusses the effects of the datafication and digitalisation of education policy in the context of the Russian Federation. It taps into the policies and practices invented as a result of rising audit cultures and the scientisation and datafication of education governance. These processes turn sites of public examinations into sites of…

In 2018 NAPLAN (National Assessment Program -- Literacy and Numeracy) reached a 10-year milestone. Introduced in 2008 by the Australian Curriculum, Assessment and Reporting Authority (ACARA), NAPLAN assesses student literacy and numeracy in Years 3, 5, 7 and 9. As a key education reform in Australia, NAPLAN has provoked critical debate across…

Purpose: This paper argues that in a well-organised school with strong leadership and vision coupled with a concerted effort to improve the teaching performance of each teacher, student achievement can be enhanced. The purpose of this paper is to demonstrate that while macro-effect sizes such as "whole of school" metrics are useful for…

In this article, I offer an examination of findings from a recently completed qualitative study conducted in the south-eastern region of the US. In the study, nine teachers from three different schools representing two different school districts were interviewed twice about how they dealt with their students' Stanford Achievement Test 10 (SAT 10)…

In this paper I propose Bayesian estimation of a nonlinear panel data model with a fractional dependent variable (bounded between 0 and 1). Specifically, I estimate a panel data fractional probit model which takes into account the bounded nature of the fractional response variable. I outline estimation under the assumption of strict exogeneity as…

In "How Is Testing Supposed to Improve Schooling?" Edward Haertel has proposed a framework for thinking about the mechanisms by which testing might improve the various educational processes undertaken in schools. The framework seems to the author to be quite general (he uses the word "general" here in its mathematical sense of including all cases)…

This paper draws attention to a subtle, but concerning, empirical challenge common in panel data models that seek to estimate the relationship between student transfers and district academic performance. Specifically, if such models have a dynamic element, and if the estimator controls for unobserved traits by including district-level effects,…

The purpose of this study was to determine how teacher perceptions of data and use of data-driven instruction affect student performance in English language arts (ELA). This study investigated teachers' perceptions of using data in the classroom and what supports they need to do so. The goal of the research was to increase the level of knowledge…