Nurses who care for clients in the 21st century must possess an understanding of the etiology, pathology, and therapies of a multitude of diseases. The preparation of pre-licensure nurses for a complex health care system is a fundamental requirement for colleges and universities of nursing. With the rapid pace of genetic discoveries from the 1990s…

Contributions to conservation biology research are traditionally approached from an ecology and evolutionary biology perspective, but education research can be equally valuable. Population genetics research can inform management decision-making while education research can improve how we teach conservation. My dissertation tackles conservation…

Digital educational games have been a part of the educational landscape since the early 1970s. Since then, there has been a proliferation in the quantity, format, type, and quality of digital educational games available to classroom teachers. Despite this, the body of literature surrounding the effectiveness of these digital educational games…

Genetics is universally recognized as a core aspect of biological and scientific literacy. Beyond genetics' own role as a major unifying topic within the biological sciences, understanding genetics is essential for understanding other integral ideas such as evolution and development. Genetics understanding also underlies public decision making…

Soft rot diseases cause crop losses all over the world. These losses can have large economic impacts and threaten international food security. Soft rot bacterial pathogens produce pectolytic enzymes that attack the pectin around plant cells resulting in smelly, wet, and mushy tissue maceration. Once symptoms are visible, the crop cannot be used or…

The concept of precision medicine aims to provide additional context to patient data for healthcare providers. Precision medicine overlays three additional layers of patient data on top of standard patient information: environmental exposure, personal lifestyle and behavior patterns, and information gleaned from their genome. While precision…

This research explores the use of eXplainable Artificial Intelligence (XAI) in Educational Data Mining (EDM) to improve the performance and explainability of artificial intelligence (AI) and machine learning (ML) models predicting at-risk students. Explainable predictions provide students and educators with more insight into at-risk indicators and…

Sleep is important for child development. Sleep problems in early childhood are associated with negative outcomes across numerous domains, including executive control, internalizing and externalizing psychopathology, and social competence (Astill et al., 2012; Hysing et al., 2016; Spruyt et al., 2019). Little research has focused on moderators…

Seemingly small reading delays in early childhood have the potential to compound into more considerable reading difficulties later in childhood (Bast & Reitsma, 1998; Foster & Miller, 2007). Children growing up in at-risk households are especially vulnerable to falling behind in reading. The objective of this study was to explore the…

This study investigated the knowledge and skills that biology students may need to help them understand statistics/mathematics as it applies to genetics. The data are based on analyses of current representative genetics texts, practicing genetics professors' perspectives, and more directly, students' perceptions of, and performance in, doing…

The algorithm for fraction multiplication is relatively easy to memorize and implement with accuracy. The simplicity of the algorithm masks the conceptual complexity involved in making sense of what fraction multiplication means in quantitative situations. One important interpretation of fraction multiplication involves fraction composition,…

In order to investigate the complexity of mutations, a computational approach named Genome Evolution by Matrix Algorithms ("GEMA") has been implemented. GEMA models genomic changes, taking into account hundreds of mutations within each individual in a population. By modeling of entire human chromosomes, GEMA precisely mimics real…

Within the framework of social cognitive theory, the influence of self-efficacy beliefs and metacognitive prompting on genetics problem solving ability among high school students in Kenya was examined through a mixed methods research design. A quasi-experimental study, supplemented by focus group interviews, was conducted to investigate both the…

This study examines the effect of a technology-based instructional tool "Geniverse" on the content knowledge gains, Science Self-Efficacy, Technology Self-Efficacy, and Career Goal Aspirations among 283 high school learners. The study was conducted in four urban high schools, two of which have achieved Adequate Yearly Progress (AYP) and…

Learning is a complex, subjective process. An important perspective on learning is that anyone, regardless of their level of education, can participate in learning about science and contribute to their community. The public increasingly looks towards online resources to find answers to challenges, so it is necessary that people become empowered to…