This dissertation discusses the relationship between teacher sensemaking, attributions, and instructional adjustments prompted in response to student performance data. Through this qualitative observation study, this paper explores the varying perspectives of teachers, including their level of assessment literacy, and the dynamics of their…

This research examines what educational administrators can do to help secondary teachers effectively use data to inform their instruction and improve their practice. This qualitative study focused on the interviews of principals and teachers in 14 secondary schools that have used data to improve their school's accountability measures markedly in…

Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify…

Data-driven decision making (DDDM) is an important teaching practice that can positively influence student achievement by using assessment data to make instructional decisions. The problem is that teachers do not always use this practice. Teachers' perspectives of DDDM can influence their data use practices. This basic qualitative study was…

Data-driven decision-making (DDDM) in public K-12 education is a concept that has been studied extensively over the last 20 years. Using data to inform or make decisions is believed to be an important and valuable strategic process. This exploratory, descriptive research focused on public school principals and their use of data in their…

Accountability has pushed principals to use data to drive and inform decisions in schools to positively impact student achievement. Research has shown that principals are the second most important impact on student achievement, second only to teachers. Principals who can lead change in schools based on data driven response have a positive impact…

While utilizing assessment data has been a pervasive practice in educational reform for decades, and teachers are expected to use assessment data to improve instruction, little is known about how the practice of requiring teachers to review test data affects their perception of effectiveness in addressing the learning gaps of student groups. This…

The school accountability system in the Dominican Republic (DR) involves the use of several national assessments, the reporting of such data, and the training of principals on how to use such data as part of school improvement efforts. While this type of indicator accountability system does not include specific consequences, there is still…

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…

This qualitative case study explored how educators in a high-poverty, urban public high school used student achievement data to inform instruction. The sample consisted of one principal, five counselors, and ten teachers across multiple departments in a Los Angeles County high school recognized for its data-driven practices and collaborative…

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…

The problem explored in this study was that the state education agency recommended school board members of low-performing school districts participate in a governance training called student outcomes governance to address student achievement, yet no data suggested the training changed school board members' understanding of how to create policies…

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…

This action research study investigates the role of Data-Based Decision-Making (DBDM) in increasing academic outcomes within a charter school network. During Cycle 1, interviews and focus groups with teachers, interventionists, and school deans shed light on critical themes, including leadership, data collection, analytic capacity, and a culture…

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…