The continuous development of Educational Data Mining (EDM) and Learning Analytics (LA) technologies has provided more effective technical support for accurate early warning and interventions for student academic performance. However, the existing body of research on EDM and LA needs more empirical studies that provide feedback interventions, and…

The purpose of the study was to better understand the extent to which middle school principals' transformational leadership styles affect teachers' data-informed instruction, the influence of teachers' data-informed instruction on middle school student achievement, and the extent to which transformational leaders affect student achievement through…

A large suburban school system in the mid-Atlantic United States identified the Data Wise Improvement Process (DWIP) as a systemic strategy to achieve the district-wide goal of student achievement for college and career readiness. Elementary science teachers marginally participated in school-based instructional team meetings to analyze student…

Data-driven instruction centers around measuring student learning and determining the actions needed to improve student learning (Bambrick-Santoyo, 2019). This qualitative case study explored teachers' experiences at a single research site surrounding data-driven instruction. Classroom instruction responsive to student performance data is a focus…

In the wake of the COVID-19 pandemic, educational systems worldwide have faced unprecedented challenges, particularly concerning the support of students based on traditional face-to-face instruction. This study focused on the concerns surrounding 2nd grade students at LEA and DRA, two urban elementary schools, who have faced multiple layers of…

Schooling experiences for Black students in the US have been shaped historically by anti-education laws, mandates, and initiatives that sustain unjust systemic practices and policies. These practices and policies often stagnate academic progress and have led to institutional deficits and the normalization of deficit-orientations towards students…

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…

Purpose: Drawing from the equitable education fund (EEF) launching 6Qs innovation in the teacher school quality program (TSQP) for small and medium schools, this research aims to analyze the effect size of the ordinary national educational test (O-NET) scores between TSQP schools that implement 6Qs innovation and non-TSQP schools and explain the…

Promoting a high level of student engagement has been a goal for many teachers. Opportunities to respond (OTR) offer a low-cost instructional practice that allows teachers to improve student engagement in the classroom. In this study, we explored the potential effects of a data-driven coaching model on one elementary school teacher's…

With the proliferation of information on how to use data to inform instruction for more than two decades, district leaders, principals, and other stakeholders assume teachers know how to use the cycle of inquiry process to improve student achievement. This case study is an examination of the practice of data use in seven schools in one urban…

Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning assessment data are used in six sub-Saharan African countries. This Information Sheet…

Most districts help teachers use data to improve student learning, often supporting this effort with federal funds. But many teachers feel unprepared to use student data to inform their instruction -- referred to as data-driven instruction (DDI) -- and there is little evidence of whether it improves student achievement. One hundred and two…

This phenomenological study sought to examine the lived experiences of Pennsylvania school leaders in elementary or middle schools with an economically disadvantaged student population of 50% or greater and English Language Arts proficiency exceeding 60% as measured by the 2021-2022 Pennsylvania System of School Assessment. Across the Commonwealth…

In Australia, under the National Assessment Plan, educational accountability testing in literacy and numeracy (NAPLAN) is undertaken with all students in Years 3, 5, 7 and 9 to monitor student achievement and inform policy. However, the extent to which these data have been analysed to report student progress is limited. This article reports a…

Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…