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…

This dissertation will address the questions: In what ways can MBR theory be applied to design training that will improve the capacity of Citizen scientists to collect and analyze high quality scientific data?; To what degree does this training impact their ability to formulate complex understandings of environmental problems in their Citizen? The…

Higher education institutions in the United States face an urgent need to use evidence of their students' outcomes to inform improvements and increase educational attainment. Data about student outcomes are abundant and professionals who interpret and report the data are commonplace today. Yet, the higher education landscape continues to be…

Teacher data use is often centered around standardized testing. Such data use that is commonly centered on standardized tests and used during professional development does not necessarily transform teacher practice toward equity and fails to change teacher conceptualizations of students while also perpetuating inequitable practices. Conversely,…

Overview and Problem of Practice: The evaluation of student learning in higher education is of interest to many stakeholders including students, faculty, higher education administrators, employers, governmental entities, and accreditors. Despite this interest, many institutions struggle to successfully facilitate the process of evaluating student…

Over the past several years, schools across the nation have seen historic declines in student performance in reading, math, and other academic subjects due to the COVID-19 Pandemic. School closures adversely affected student groups at different rates and further exacerbated long-standing learning gaps. There has been a debate among scholars for…

The purpose of this study was to examine the factors that influence the use of institutional assessment in support of student outcomes at four-year public institutions of higher education. This study focused on small institutions, defined as having enrollment below that of the median value, across the nation. An electronic survey was sent to chief…

Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…

The purpose of this quantitative causal-comparative study was to examine if there was a statistically significant difference in academic retention, Kaplan® Diagnostic examination scores, and the program completion of upper division nursing students using a concept-based curriculum versus a standard nursing curriculum in one health sciences…

Higher education institutions across the country have examined equity in education outcomes through disaggregating student demographic data. However, it is not as common for academic institutions to also examine student learning outcomes for inequities in student learning. The current study explores what the greatest contributors are for the lack…

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 case study identifies college outcomes data transparency and accountability beliefs held by policy-makers, higher education associations, advocacy groups, think tanks, and other actors in the federal higher education policy domain, as well as how these beliefs have changed since the last reauthorization of the Higher Education Act in 2008.…

This work studied an institution's experiences with acceleration and placement reform in English coursework as changes in these measures affected student persistence, completion, and subject mastery in English composition. Through assessing student learning outcomes after placement reform and acceleration, this study compared students' success…

Degree completion rates have recently dominated national debates regarding the value of higher education (Gagliardi et al., 2018). Inherent in this debate is the issue of how to utilize institutional data to evaluate student performance (Hubbard et al., 2020). This process, known as data-driven decision-making (DDDM), has been studied at four-year…

The purpose of this qualitative, descriptive study was to explore how STEM professionals described the influence of collective impact conditions on their educational ecosystems for high school students in the US. The framework was collective impact as supported by transformational leadership theory. The research was guided by five research…