Principals at Hunter School District, a pseudonym, lacked capacity for using data, a reflection of the district's lack of a culture of data-driven decision-making. HSD was located in New York City, with 23 schools serving 11,600 students; students were 90% Black or Latino with 90% coming from low-income families and 20% living in temporary…

A multiple case study was designed to examine the components of data literacy used by formal and informal leaders to support the work of Data Teams. Nine formal leaders and ten informal leaders constituted the participants. One overarching central question and seven subquestions guided the research. The answer to the central question, How do…

At an elementary school in the northeastern region of the United States elementary teachers struggled with using data to make instructional decisions. The purpose of this qualitative study was to explore elementary teachers' perceptions about how their teaching experiences prepared them to use data to make lesson decisions. The…

Administrators are under the intense pressures of accountability to meet expectations in both student achievement and school improvement. To survive the intensity, administrators must exercise data informed leadership of which the epicenter is effective data use. This descriptive study was designed to examine the perceptions of administrators'…

Effective instruction derives from collecting and analyzing student data. Data collection can be a series of observations, or progress monitoring assessments, where students are assessed regularly on a targeted skill to see if a program or instructional model is effective, or any other type of collected information that reveals knowledge to…

The higher education sector today faces an environment unlike any it has seen before. Serving a wide variety of internal and external stakeholders and facing diverse and fast-changing economic, social, and political pressures, universities can benefit from corporate-like approaches such as the use of analytics to inform strategic decision-making…

The purpose of this investigation is to study and pursue a user-defined approach in preserving data privacy while maintaining an acceptable level of data utility using machine learning classification techniques as a gauge in the generation of synthetic data sets. This dissertation will deal with data privacy, data utility, machine learning…

This study examined the effect of various district and site level conditions that influence the frequency of teacher data-driven decision-making behaviors. This study is motivated by four research questions: 1) Among various kinds of data available to teachers and principals in making data-driven decisions: a. What is the relative level of…

Increasing demands for accountability from both the public and the government have resulted in increasing pressure for higher education professionals to use data to support their choices. There is significant speculation that professionals at all levels of education lack the knowledge to implement data-driven decision making. However, empirical…

Under the Individual with Disabilities Education Act Part C state administrators have reported data for compliance since the inception of the program in 1986. Recently, Results Driven Accountability (RDA) introduced a shift to use data for continuous improvement at the state and local levels. The researcher used a multiple case study to…

The advent of information technology has enabled firms to collect significant amounts of data about individuals and mine the data for developing their strategies. Profiling of individuals is one common use of data collected about them. It refers to using known or inferred information to categorize the type of an individual and to tailor specific…

This qualitative study investigated the types of content-based student performance data World Language teachers used to improve instruction and student academic achievement, the purposes for which they used data, the issues they encountered, and the suggestions they made for more effective use of data. The Standards for Foreign Language Learning…

This study explored the interplay of a community college's vision, its leaders' behaviors, strategic planning, and the use of data that contributed to an organizational culture that led to the improvement of student success. The researcher used a grounded theory approach to delve into the relationships and connections between these four…

The national focus in education continues to center on school accountability and student results. Districts and states are continually searching for ways to improve student performance and learning outcomes. There are several Data Driven Decision Making models currently being used in school districts across the country. Research continues to…

Previous research indicates that pre- and in-service teachers are not receiving adequate training to implement data-informed instructional decision making. This is problematic given the promise this decision making process holds for improving instruction and student learning. At the same time, many educators do not see the value of different types…