Since the phenomenal success of deep neural networks (DNNs) on image classification, the research community have been developing wider and deeper networks with complex components for a variety of visual understanding tasks. While such "heavy" models achieve excellent performance, they pose two main challenges: (1) the training requires a…

The present study explored perceptual and articulatory techniques addressing the pronunciation of Spanish rhotics by means of a week-long computerized training. Through a quasi-experimental design approach, the study tested the utility of the online training and its effects on the phonetic production of taps [voiced alveolar tap or flap] and…

Students classified as English learners (EL) are a protected class of students with core legal rights. There are clear opportunities to strengthen education policies and practices to improve opportunities and outcomes for EL-classified students. This dissertation is comprised of three studies examining key issues in EL education with the goal of…

This dissertation explores how federal education policies affect outcomes for special populations and their teachers. The first study uses a differences-in-differences design and data from the Stanford Education Data Archive to determine if "No Child Left Behind" (NCLB) waivers reduced district-level white-black and white-Hispanic…

The purpose of this study was not to disprove the effects of the current, common remedial literacy course design and the literacy practices within that help adolescent RLLs pass statewide assessment tests, but to describe the potential long-term impact of an innovative comprehensive approach to literacy (CAL) framed through an integrated course…

Numerous researchers have investigated distance education in postsecondary settings, but there is a paucity of research regarding the design and delivery of online professional development for K-12 educators. The goal of this mixed methods sequential exploratory study was to examine attitudes of middle grades educators toward an online…

Ensemble approaches have been shown to enhance classification by combining the outputs from a set of voting classifiers. Diversity in error patterns among base classifiers promotes ensemble performance. Multi-task learning is an important characteristic for Neural Network classifiers. Introducing a secondary output unit that receives different…

Faculty training in new methodologies and effective teaching practices can improve how faculty adapt to the needs of online teaching. At an online college network, a need was identified for appropriate and effective professional development training for online faculty members. The purpose of this mixed methods study was to assess the training…

Recent psycholinguistic findings showed that (a) a multi-modal phonetic training paradigm that encodes visual, interactive information is more effective in training L2 learners' perception of novel categories, (b) decreasing the acoustic variance of a phonetic dimension allows the learners to more effectively shift the perceptual weight towards…

Gifted learners in one rural middle school have shown signs of underachievement, with 31% failing one or more subject areas. Due to 100% of these students meeting all standards on the Criterion Reference Competency Test (CRCT), a disparity exists between their classroom achievement scores and standardized test scores. The purpose of this…

The use of early literacy screening measures helps determine which students are at risk for future reading difficulties. However, there has been some recent concern related to the classification validity of screening measures (Hintze, Ryan, & Stoner, 2003; Nelson, 2008). Low classification validity results in the identification of a large number…

This study examined the effectiveness of two geography courses at improving student spatial thinking skills. Spatial thinking is an important cognitive skill in the sciences and everyday life. A taxonomy of spatial thinking was constructed by Gersmehl (2008) in geography education which included core modes assessed in this study: comparison,…

A taxonomy of learning objectives generally refers to a schema to classify the levels of learning. In 1956, Benjamin Bloom, with a group of educational psychologists, created a taxonomy for classifying educational objectives using six major categories of thinking skills: (a) knowledge (recalling information), (b) comprehension, (understanding the…

This study examined the effects of aligning the "Virginia Standards of Learning (SOL)" English Framework with Bloom's Taxonomy on student achievement. Changes prompted by "No Child Left Behind" legislation increased accountability for student success, as well as mandated testing to determine annual academic growth of all…

Student performance on critical-thinking applications on standardized tests in a southwestern U.S. state has been low for several years. The purpose of this instrumental case study was to explore how one school district prepared students for critical-thinking applications on standardized tests. The study was informed by cognitivism and…