Graph neural networks (GNN) are vital for analyzing real-world problems (e.g., network analysis, drug interaction, electronic design automation, e-commerce) that use graph models. However, efficient GNN acceleration faces with multiple challenges related to high and variable sparsity of input feature vectors, power-law degree distribution in the…

All communication systems rely on sets of rules that must generally be followed for successful communication to be possible; in the case of human language, these rules are given by the grammar. However, despite these rules, there is considerable variation that has been noted across the grammar. In this dissertation, I explore one understudied…

The demographics of our nation's public schools continue to diversify. Less than 50% of our nation's public school students are white, however, less than 25% percent of superintendents identify as People of Color. To that end, retention of diverse leaders specifically, Black Women across all sectors is in decline. The mission of The Surge…

China, classified as a middle-income country by the World Bank, faces a scarcity of resources in providing autism interventions, despite a comparable autism prevalence in the Western world. Most autism interventions in China are imported from high-income countries, highlighting the need to examine whether the focus of the interventions from mixed…

Categorical data become increasingly ubiquitous in the modern big data era. In this dissertation, we propose novel statistical learning and inference methods for large-scale categorical data, focusing on latent variable models and their applications to psychometrics. In psychometric assessments, the subjects' underlying aptitude often cannot be…

Graph representations underlie many modern computer applications, capturing the structure of such diverse networks as the Internet, personal associations, roads, sensors, and metabolic pathways. While the static structure of graphs is a well-explored field, a new emphasis is being placed on understanding and representing the way these networks…

With close to 50 million children attending 98,000 public schools in the United States, the public school classroom continues to be an essential locus of change that, if improved at scale, could increase educational and life outcomes of many young people. Improved student learning requires an improved instructional core and school leaders are…

The World Wide Web enables an easy, instant access to a huge quantity of information. Over the last few decades, a number of improvements have been achieved that helped the web reach its current state. However, the current Internet links documents together without understanding them, and thus, makes the content of web only human-readable rather…

Statewide accountability programs are incorporating academic growth estimates for general assessments. This transition focuses attention on modeling growth for students with significant cognitive disabilities (SWSCD) who take alternate assessments based on alternate achievement standards (AA-AAS), as most states attempt to structure their AA-AAS…

Two problems at two different abstraction levels of computational biology are studied. At the molecular level, efficient pattern matching algorithms in DNA sequences are presented. For gene order data, an efficient data structure is presented capable of storing all gene re-orderings in a systematic manner. A common characteristic of presented…

The Next Generation Science Standards propose a multidimensional model of science learning, comprised of Core Disciplinary Ideas, Science and Engineering Practices, and Crosscutting Concepts (NGSS Lead States, 2013). Accordingly, there is a need for student assessment aligned with the new standards. Creating assessments that validly and reliably…

Purpose: The purpose of this study was to examine the key considerations of community, scalability, supportability, security, and functionality for selecting open-source software in California universities as perceived by technology leaders. Methods: After a review of the cogent literature, the key conceptual framework categories were identified…

The inverted index is the main data structure used by all the major search engines. Search engines build an inverted index on their collection to speed up query processing. As the size of the web grows, the length of the inverted list structures, which can easily grow to hundreds of MBs or even GBs for common terms (roughly linear in the size of…

The purpose of this casual-comparative study was to assess the effectiveness of Academy of READING® (AOR) on eighth grade Response to Intervention students using third nine-week benchmark scaled score and Criterion Reference Competency Test scaled score. The data collected from a public middle-school in rural Georgia revealed how student…

Collaborative functionality is changing the way information is amassed, refined, and disseminated in online environments. A subclass of these systems characterized by "open collaboration" uniquely allow participants to "modify" content with low barriers-to-entry. A prominent example and our case study, English Wikipedia,…