This research examined the perceived data literacy skills of middle and senior-level administrators in a community college system in relation to leadership competencies. This study sought to determine if the independent variable, administrator type (manager, executive, or chief operating officer), relates to the perceived data literacy skills…

Multivariate Functional Principal Component Analysis (MFPCA) is a valuable tool for exploring relationships and identifying shared patterns of variation in multivariate functional data. However, interpreting these functional principal components (PCs) can sometimes be challenging due to issues such as roughness and sparsity. In this dissertation,…

This nonexperimental, survey-based online quantitative study on nonprofit managers' technical training measures the extent of the influence on big data technology use. The unified theory of acceptance and use of technology is a theoretical framework to determine whether business managers are trained to have know-how in using big data technology.…

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…

The purpose of this quantitative causal-comparative study is an empirical examination of the differences in business intelligence capability and the value and competitive advantage of mid-level higher education academia professionals from community colleges, four-year public, and four-year private institutions within the United States.…

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…

The problem explored by this study was that teachers' perspectives are not implemented when selecting and utilizing phonics instruction in kindergarten through second grade classrooms. The purpose of this qualitative case study was to explore primary teachers' rationales and experiences when choosing and implementing phonics instruction in primary…

Data use in higher education continues to increase as college and university leaders aim to meet accreditor and governmental expectations to use data to improve student outcomes. However, the steady increase in data use over the past decades has not been accompanied by an increase in employee data literacy in order for employees to use the data…

The last decades have seen an unprecedented growth in the availability and accessibility of data, highly influenced by the ubiquity of digital media and the internet. As society contends with data's increasing impact on the nature of knowledge, communication, and privacy, it faces a pressing need for citizens who are intelligent producers and…

Data permeates our digital world. As data and data visualizations become more ubiquitous in our everyday lives, individuals are required to use it as a resource for meaning making, and we as literacy researchers need to understand the ways that our literacy practices are changing because of data collection, storage, analysis, and transmission.…

Data-driven decision-making (DDDM) requires educational leaders and teachers to monitor and evaluate programs and processes and link results to individual and organizational outcomes. A classroom teacher's ability to collect and review data, analyze data to identify trends and strategies for student achievement, and use data to determine and…

Assessment literacy is an "individual's understanding of the fundamental assessment concepts and procedures deemed likely to influence educational decisions" (Popham, 2018, p. 2). The ability to make evidence-based decisions has become a non-negotiable skill for all educators. Unfortunately, most teachers do not have the skills or…

The purpose of this case study was to examine one school district's 8th grade mathematics teachers' perceptions, analysis of, and use of their own students' formative interim data. Research has shown that teachers have difficulty with data literacy, and are not getting the trainings they need. Unfortunately, this may arise from the fact that a…

Technology integration into classrooms is crucial for student success. It should be implemented beyond lesson planning and organizing information. Digital tools like Mastery Connect can effectively drive data-driven instruction to close learning gaps. The TPACK Model outlines the framework for successfully integrating technology into the…

This study explored the core competencies, technological skills, functional proficiencies, and professional experiences of data scientists at higher education institutions. The specific population of interest was higher education administrators and staff professionals identified as data scientists. This study was informed by the following guiding…