This study has three primary objectives. First to provide insight into possibilities for moderation/mediation analysis in education research by discussing analytical methods based on the counterfactual and developed in other disciplines. Second is to highlight specific issues related to mediation and the estimation of effects when the outcome is…

For the first time in 32 years, the national average scale score in mathematics dropped by seven points across the country in grades four and eight, according to the latest results of the National Assessment on Educational Progress (NAEP). The 2022 results in mathematics were staggering, in which "math performance fell for the first time in…

This study applies Indigenous Oral Research Methods to amplify the voice and story of math educators working within Indigenous communities. Publicly posted podcast interviews with five participants of the Fire Circles Professional Development were used to disseminate their experiences and views of professional development programs that they had…

For the first time in 32 years, the national average scale score in mathematics dropped by seven points across the country in grades four and eight, according to the latest results of the National Assessment on Educational Progress (NAEP). The 2022 results in mathematics were staggering, in which "math performance fell for the first time in…

U.S. middle school teachers have struggled to meet the instructional needs of students in the area of mathematics. Teachers' approaches to assessment and instructional strategies remain understudied; such knowledge could help educational leaders to devise strategies to boost student achievement. The purpose of this qualitative study was to examine…

Secondary analyses of international large-scale assessments (ILSA) commonly characterize relationships between variables of interest using correlations. However, the accuracy of correlation estimates is impaired by artefacts such as measurement error and clustering. Despite advancements in methodology, conventional correlation estimates or…

Response to intervention, direct instruction, and data-based decision-making are all effective teaching practices that can impact student math performance. When educational technology is implemented in classroom settings, it can address both the needs of teachers and students. However, there is little information detailing how educational…

Reform in educational policy and federal legislation has placed an emphasis on data collection pertaining to student outcomes in the academic setting. In response, school systems have shifted to multi-tiered frameworks that utilize varying levels of support through the implementation of evidence-based interventions. Data-based decision making…

Many students have difficulty performing well in Calculus 1. Since Calculus 1 is often the first math course that people take in college, these difficulties can set a precedent of failure for these students. Using tools from data mining and interviews with Precalculus and Calculus 1 students, this work seeks to identify the different types of…

An achievement gap is defined as a significant difference in academic performance between two groups. Massachusetts Comprehensive Assessment System (MCAS) data indicate that, in Crestland Public School District (pseudonym), there is a clear achievement gap in mathematics between students with disabilities and those without disabilities,…

This study identified the impact of elementary teachers' perceptions and the change that data-driven instruction had on student achievement on the Measures of Academic Progress (MAP) assessment in English language arts and mathematics in an urban elementary charter school. The researcher secured an inner-city charter school in Tennessee to…

This three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…

Data mining has been successfully used by financial and retail companies since the mid-1960's to create predictive models and reveal unexpected relationships. However, it remains underutilized as a tool in educational research. Large-scale standardized assessment programs such as the Trends in International Mathematics and Science Study (TIMSS)…

Purpose: The purpose of this journal-ready dissertation was to determine the degree to which differences were present in reading, mathematics, and both subjects college-readiness for English Language Learners who were enrolled in Texas high schools. In the first investigation, the extent to which English Language Learner boys differ in their…

This mixed method study explored and analyzed instructional strategies utilized by algebra teachers whose students' coursework culminated in the New York State Regents Examination in Integrated Algebra and for whom 50% of the tested cohort earned mastery level (85 or higher) on the examination. The targeted populations were eighth or ninth grade…