The increasing prevalence of data emphasizes the importance of statistical literacy. Educational systems are charged with developing students who are statistically literate before entering higher education or the workforce. Adequate teaching and learning of statistics in K-12 education faces challenges, due to limited statistical content knowledge…

With the expeditious advancement of information technologies, health-related data presented unprecedented potentials for medical and health discoveries but at the same time significant challenges for machine learning techniques both in terms of size and complexity. Those challenges include: the structured data with various storage formats and…

This thesis describes a notation for rapid specification of information visualization, which can be used as a theoretical framework of integrating various types of information visualization, and its applications at a conceptual level. The notation is devised to codify the major characteristics of data/visual structures in conventionally-used…

Networks, such as social networks, are a universal solution for modeling complex problems in real time, especially in the Big Data community. While previous studies have attempted to enhance network processing algorithms, none have paved a path for the development of a persistent storage system. The proposed solution, GraphStore, provides an…

Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning…

This research study examined the specific categories of IT control deficiencies and their related effects on financial reporting. The approach to this study was considered non-experimental, an approach sometimes called descriptive. Descriptive statistics are used to describe the basic features of the data in a study, providing simple summaries…

Over the last years, principals in schools have had to contend with numerous governmental regulations that change with each passing year. The change from instruction based on concepts to instruction based on standards to instruction based on student performance has created a need for principals to utilize data in ever-increasing forms. Both…

In my dissertation, I will present my research which contributes to solve the following three open problems from biomedical informatics: (1) Multi-task approaches for microarray classification; (2) Multi-label classification of gene and protein prediction from multi-source biological data; (3) Spatial scan for movement data. In microarray…

In 2008, state legislatures provided $6 billion in financial aid to 2 million low-income young adults. When low-income young adults receive state financial aid and do not complete college, states lose their investment because fewer people with degrees will contribute to the state's economy. Declining states' budgets have led to (a) the rising cost…

The quality of the construction of the high school dropout rate is the policy issue investigated in this dissertation. This qualitative dissertation explores the constructs necessary to create a high school dropout rate and seeks to unearth complexities in the construction of the high school dropout rate. Every single year, approximately 1.2…

With a global marketplace, companies are seeking ways to manage knowledge with tools, such as the corporate university toward gaining a competitive advantage. Research has identified a common goal is to sustain competitive advantage. With a competitive advantage, a company may achieve a higher profitability. Thus far, research has provided limited…

A key issue of cognitive diagnostic models (CDMs) is the correct identification of Q-matrix which indicates the relationship between attributes and test items. Previous CDMs typically assumed a known Q-matrix provided by domain experts such as those who developed the questions. However, misspecifications of Q-matrix had been discovered in the past…

The relationship between components of the local school district report card, school district typology, and the outcome of public school tax levy requests were examined in this study. A correlation research design was used to measure the relationship between the independent variables (performance index, average yearly progress, value added,…

"Data modeling" is an approach that helps students to transform initial, and often misguided, understandings of variability and chance to forms of reasoning that coordinate chance with variability by designing learning environments that support this reasoning by allowing students to invent and revise models. The Assessing Data Modeling…

The primary purpose of this study was to provide quantitative data on the use of released Texas Assessment of Knowledge and Skills (TAKS) exams as benchmark test instruments in a sample population. Teachers have expressed concern over "teaching to the test," especially with the use of benchmark testing. This study was specifically…