Closing the achievement gaps in mathematics and English language arts (ELA) is an ongoing challenge for most New York City Public school administrators. One New York school experiencing this problem implemented a broad intervention including (a) the Children First Intensive (CFI) program, which includes using data to inform instructional and organizational decision-making; (b) added baseline and post assessments; and (c) differentiated instruction including student conferences. The effects of the intervention had not been evaluated within the context of implementation. The purpose of this quantitative study was to evaluate the impact of the multifaceted learning gaps' intervention on 6th grade student achievement in math and ELA. The framework used in this study was the Halverson, Grigg, Prichett, and Thomas data-driven instructional systems model. The comparative study design used paired t tests to examine the change in math and ELA achievement scores on a group of 6th grade students (N = 26), before after the intervention. Results indicated significant increases in the test scores of the students, suggesting that students' learning gaps were closed using their assessment results and differentiated instruction within the comprehensive intervention. Results were used to create a professional development handbook on using a multifaceted data-based approach to improve student achievement. Positive social change might occur by providing the local site findings on the outcomes of their approach and additional training on using the approach, which may ultimately improve the academic performance of all students.

Monitoring academic progress to guide instructional practices is an important role of teachers in a small rural school district in the Southern United States. Teachers in this region were experiencing difficulties using the approved school district model to implement data-driven instruction. The purpose of this qualitative case study was to identify elementary- and middle-level teachers' perceptions about using the Plan, Do, Study, Act (PDSA) model to analyze data in the classroom and use it to inform classroom instruction. Bambrick-Santoyo's principles for effective data-driven instruction was the conceptual framework that guided this study. The research questions were focused on teachers' perceptions of and experiences with the PDSA. A purposeful sampling was used to recruit 8 teachers from Grades 3-9 and their insights were captured through semistructured interviews, reflective journals, and document analyses of data walls. Emergent themes were identified through an open coding process, and trustworthiness was secured through triangulation and member checking. The themes were about using data to assess students, creating lessons, and collaborating with colleagues. The three findings revealed that elementary- and middle-level teachers acknowledge PDSA as an effective tool for guiding student learning, that teachers rely on assessment data, and that teachers need on-going collaborative engagement with their colleagues when using the PDSA. This study has implications for positive social change by providing a structure for improving classroom instructional practices and engaging teachers in more collaborative practices.

Despite the importance an urban school district places on data-driven decision-making (DDDM) to drive instruction, implementation continues to remain a challenge. The purpose of this study was to investigate how support systems affected the implementation of DDDM to drive instructional practices in three urban schools that recently transitioned from priority or focus to good standing on the State Accountability Report. The study aligned with the organizational supports conceptual framework with an emphasis on data accessibility, collection methods, reliability and validity, the use of coaches and data teams, professional development, and data-driven leaders. Through the collection of qualitative data from one-on-one interviews, the research questions asked about the perspectives on data culture and data driven instructional practices of three school leaders and nine teachers. The data were triangulated to generate a thematic illustration of content that was coded and analyzed to identify solid patterns and themes. Findings suggest that leaders create a data-driven school culture by establishing a school-wide vision, developing a DDDM cycle, creating a collaborative DDDM support system, communicating data as a school community, and changing the way technology is used in DDDM initiatives. Based on the findings, a project in the form of a white paper was developed, using research to support that when data is regularly used to hone student skills, a positive shift in overall teacher practices occurs. This shift provides the potential for positive social change when students have opportunities to attain academic goals, resulting in increased student achievement and higher graduation rates.

School leaders at an urban high school in the U.S. Midwest encouraged teachers to use formative assessment to help students meet learning goals; however, several years later, they found inconsistent implementation. Without a clear understanding of teachers' formative assessment practices, leaders could not establish needed supports for its consistent use in the classrooms. The purpose of this bounded qualitative case study was to examine teachers' formative assessment use to check for student understanding and to adjust instruction. Black and Wiliam's formative assessment theory formed the foundation of this study. Research questions focused on teachers' perceptions of formative assessment and usage of formative assessment for instruction. Ten state certified high school teachers, who had at least a bachelor's degree, passed basic skills and subject area examinations, and taught within their majors or minors, were purposefully selected to provide data. Data were gathered from observations, interviews, and teacher logs and were analyzed inductively using open and axial coding strategies. Results showed teachers collected and used formative assessment to modify instruction and determine student understanding from a limited number of students. Furthermore, they lacked the knowledge, skills, and strategies to implement formative assessment to help all students meet learning goals. Based on the findings, 3 professional development (PD) sessions were created to help school leaders provide support for teachers' consistent formative assessment implementation. These endeavors may contribute to positive social change when administrators provide teachers with PD to increase teachers' knowledge and skills using formative assessment, and, ultimately, to meet student learning goals.

The purpose of this study was to explore the evolution of collaborative practices of PLCs as they emerge when using technology based formative assessment via iFAIT or innovative Formative Assessment with Instruction and Technology developed by the researcher using audience response systems and the online data compiler, Eduphoria!. This study used sequential explanatory mixed methods to address the problems that schools face when implementing technology based formative assessments to improve instruction and student achievement. A survey administered in September 2012 and again in December 2012 provided a measure of teacher use of formative assessments, technology use in formative assessments, and perceptions of teachers using the PLC as a mechanism of support for technology based formative assessment. Training was facilitated by the researcher as PLCs worked together to develop, administer, and interpret formative assessments. Teacher interviews were conducted, and the study ended with the administration of the December 2012 survey and open-response questions for further qualitative analysis. Quantitative data analysis was completed using ANOVAs to determine if there were significant differences of teacher groups (subject taught, grade level taught, and years of teaching experience) use of iFAIT. This data analysis also included measures of frequency and paired sample t tests between the September and December 2012 responses. Qualitative data was analyzed using hand coding, word clouds, and WordSmith Tools. The triangulation of qualitative data in the quantitative data provided a narrative to document what collaborative factors affected the use of iFAIT. For school improvement and implementation of iFAIT, the study revealed that (1) with the right technology infrastructure, on-going professional development must be offered by administrators or sought after by teachers; (2) teachers must have strong beliefs in formative assessment and the technology that supports it; (3) open lines of communication must be supported through the PLC and administration; (4) teachers must see purpose in using revealing student data to drive instruction; and (5) PLCs must have common beliefs and believe that student achievement is connected to school improvement. PLCs should discuss data, share successes, and plan instruction through extended involvement in face-to-face and online venues as communities of practice.

In the modern era of high-stakes accountability, test data have become much more than a simple comparison (Schmoker, 2006; Payne & Miller, 2009). The information provided in modern data reports has become an invaluable tool to drive instruction in classrooms. However, there is a lack of good training for educators to evaluate data and translate findings into solid practices that can improve student learning (Blair, 2006; Dynarski, 2008; Light, Wexler, & Heinze, 2005; Payne & Miller, 2009). Some schools are good at collecting data, but often fall short at what to do next. It is the role of the principal to serve as an instructional leader and guide teachers to the answer the reoccurring question of "now what?" The purpose of this study was to investigate ways in which principals build successful data-driven instructional systems within their schools using a qualitative multi-site case study method. This research utilized a triangulation approach with structured interviews, on-site visits, and document reviews from various middle school supervisors, principals, and teachers. The findings are presented in four common themes and patterns identified as essential components administrators used to implement data-driven instructional systems to improve student achievement. The themes are 1) administrators must clearly define the vision and set the expectation of using data to improve student achievement, 2) administrators must take an active role in the data-driven process, 3) data must be easily accessible to stakeholders, and 4) stakeholders must devote time on a regular basis to the data-driven process. The four themes led to the conclusion of ten common steps administrators can use to acculturate their school or school division with the data-driven instruction process. / Ed. D.