This study examined the effectiveness of three instructional and assessment strategies on conceptual understanding of the DNA molecule. Specifically, a model building task was utilized to determine if physical model construction, digital model construction with a touchscreen tablet computer, or paper worksheet activity effected conceptual…

This dissertation aimed to advance the field of biology education in several ways. First, we aimed to demonstrate if, and to what extent, student-generated conceptual models can be used on summative assessments to accurately assess student understanding of gene expression. Next, we described patterns of changes students make to conceptual models…

In language learning, aided language modeling refers to the method by which communication partners provide models of the communication system used by individuals with complex communication repertoires that involving both symbols and speech. Providing aided language models creates opportunities for individuals with complex communication repertoires…

Probabilistic topic models have been developed for applications in various domains such as text mining, information retrieval and computer vision and bioinformatics domain. In this thesis, we focus on developing novel probabilistic topic models for image mining and bioinformatics studies. Specifically, a probabilistic topic-connection (PTC) model…

Multiple models of the gene are used to explore genetic phenomena in scientific practices and in the classroom. In genetics curricula, the classical and molecular models are presented in disconnected domains. Research demonstrates that, without explicit connections, students have difficulty developing an understanding of the gene that spans…

Across the globe and throughout history, politics are regularly divided into "left-leaning" and "right-leaning" camps. Explaining the sources of this conservative-liberal divide has become a major quest in the cognitive and social sciences. Early attempts have focused on self-interest as a possible explanation. However, as the…

Biomedical research has produced vast amounts of new information in the last decade but has been slow to find its use in clinical applications. Data from disparate sources such as genetic studies and summary data from published literature have been amassed, but there is a significant gap, primarily due to a lack of normative methods, in combining…

Probe-level microarray data are usually stored in matrices. Take a given probe set (gene), for example, each row of the matrix corresponds to an array, and each column corresponds to a probe. Often, people summarize each array by the gene expression level. Is one number sufficient to summarize a whole probe set for a specific gene in an array?…

This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an intuitive understanding of the problem domains and as well as computational efficiencies to our solution approaches. We begin by considering a search and rescue scenario where both…

We investigated empowerment in the Alpha-1 Antitrypsin Deficiency (Alpha-1) community, a rare, genetic disease network in the United States. The research was motivated by nine years of observations in the community. After observing what seemed to be a heightened amount of activism among Alpha-1 community members, I had hypothesized that this…

Microarray is a high throughput technology to measure the gene expression. Analysis of microarray data brings many interesting and challenging problems. This thesis consists three studies related to microarray data. First, we propose a Bayesian model for microarray data and use Bayes Factors to identify differentially expressed genes. Second, we…

A recent focus on contemporary evolution and the connections between communities has sought to more closely integrate ecology with evolutionary biology. Studies of coevolutionary dynamics, life history evolution, and rapid local adaptation demonstrate that ecological circumstances can dictate evolutionary trajectories. Thus, variation in species…

Current research in health care lacks a systematic investigation to identify and classify various sources of threats to information privacy when sharing health data. Identifying and classifying such threats would enable the development of effective information security risk monitoring and management policies. In this research I put the first step…