The exponential growth of digital libraries and the proliferation of scholarly content in electronic formats have made data mining and information retrieval essential tools for effectively managing, organizing, and disseminating knowledge. This thesis provides a comprehensive analysis of the advancements and challenges in these fields, with a…

Latent change score (LCS) models are a powerful class of structural equation modeling that allows researchers to work with latent difference scores that minimize measurement error. LCS models define change as a function of prior status, which makes it well-suited for modeling developmental theories or processes. In LCS models, like other latent…

Mixed methods research collects, analyzes, and integrates rigorous qualitative and quantitative methods to gain a deeper understanding of a phenomenon than would be gained by using either method alone. Integration is one of the key features of mixed methods research and consists of mixing qualitative and quantitative research in a systematic way…

Graph data, especially large graph data, come up in many domains, such as social networks, the map of science, biological data, and even knitting! This presents a problem when we consider visualizing these structures. Layouts must be chosen carefully so that the structure of the graph is visible. Some graphs are large enough and connected enough…

The purpose of this dissertation was to develop and use a platform that facilitates Massive Open Online Course (MOOC) replication research. Replication and the verification of previously published findings is an essential step in the scientific process. Unfortunately, a replication crisis has long plagued scientific research, affecting even the…

Psycholinguistics is the research of language in the mind: The architecture of storing the different components of language in our memory, and the ways we access that knowledge when processing and producing language. Psycholinguists usually conduct quantitative experimental research in which certain standards of experimental design, data…

Building on the need for developing educational responses to the impact of data practices in our everyday lives, a new curriculum called Nayah-Irú was designed and implemented in the context of five alternative schools in Uruguay. Nayah-Irú aimed at fostering Critical Data Literacy (CDL) using speculative civic literacies, helping youth and…

This Educational Leadership Portfolio (ELP) documents my exploratory study of the feasibility of developing a new associate level (A.A.S) degree program. While this study and plan is designed to serve as a guide for any two-year or community college thinking of developing such a program, many of the artifacts in this study are written specifically…

In this dissertation, I empirically investigate the changes in the market structure after new entrants, and how these changes affect the welfare of market participants. In Chapter 1, using records for public and charter schools in New York City, I empirically show that public schools adjusted after charter schools entered the neighborhood. I…

This study uses a sequential, mixed method, action research, quantitative to qualitative research design. The purpose of this study was to develop a useful standardized hiring process at a state medical college that brings clarity to the hiring process and policies. Two conceptual frameworks guided the innovations in this study--communities of…

School districts across the nation are grappling with the issue of high principal turnover coupled with a decrease in number of experienced applicants to fill vacancies (Guterman, 2007; Hall, 2008; Johnson, 2005; United States Department of Education, 2010; Villani, 2008). In addition, college preparation programs are being called into question as…

Firms are often embedded in a technology ecosystem comprised of complementary technologies that span multiple product markets. In this dissertation, I examine how complementarity between the firm's technologies influences its strategies to create and appropriate value in the ecosystem. I investigate this overarching question in two contexts:…

Data-rich activities provide an opportunity to develop core competencies in both science and mathematics identified in curricular standards. Perhaps even more importantly work with data puts learners in the position to use data to ask and answer questions, a potentially empowering capability. Research on work with data has focused on cognitive…

In this dissertation, I create a navigable path between the learning sciences, accounting information systems (AIS), and analytics education. After considering the context of AIS and accounting analytics education, I present a learning sciences design framework, apply the design principles, and study their implementation and success in an…

Career Technology Education (CTE) program evaluations have been mostly completed for compliance and monitoring purposes. Hence, they have limited use in establishing program effectiveness or for program improvement. Moreover, engaging in program evaluations can be time consuming and costly, especially for programs that have not been evaluated in…