Digital Commons Network^™

The Academic Impact Of Extracurricular Activities On Middle School Students, Lauren Jansen

Dissertations

This research study examined the academic impact of extracurricular activities on middle school students. This study investigated a possible relationship between the amount of hours that students spent participating in extracurricular activities and their academic achievement, as well as the amount of hours that students spent participating in in-school extracurricular activities and their academic achievement. This study used a combination of quantitative and qualitative data to reach its results. The quantitative data ultimately did not show a statistically significant correlation between the hours that students spent in extracurricular activities in general or in in-school activities and academic achievement. However, there …

Private Sector Emiratization: Evaluating The Policies And Practices Designed To Achieve Abu Dhabi's Strategic Hrm Goal, Khaled Sultan Saeed Ai Kaabi

Dissertations

The purpose of this study is two-fold: firstly, to gauge the job satisfaction levels of UAE nationals employed in the private sector and secondly to consider the HRM policies and procedures most likely to attract and retain such individuals. The issue is of contemporary importance because the UAE has a fast-growing population, and already overstaffed public sector and, a labor nationalization program that has yet to have a significant impact on the ratio of nationals employed in the private sector visa- vis the classic public sector. Using a combination of employee survey and expert interview feedback this study provides a …

Examining Teacher Practices Related To Student-To-Student Discourse In The Middle School Classroom, April Dawn Craft

Dissertations

As schools strive to develop 21st century learners equipped with skills in critical thinking and communication, the use of research-based teaching strategies, such as student-to-student discourse, is a necessary component of highly effective instruction. Research has shown that the way in which a teacher facilitates discourse in the classroom has a powerful impact on student learning and achievement. This case study examines the beliefs and instructional practices of a middle grades science teacher as they pertain to the use of student-to-student discourse, or students' use of a set of common language patterns in order to construct meaning or to develop …

The Perceptions Of Missouri High School Principals In Regard To The Missouri Learning Standards, Christopher Lee Kell

Dissertations

The purpose of this study was to elicit the perceptions of high school principals regarding state education standards and whether or not increasing education standards has a positive impact on student achievement. Missouri adopted a new set of standards which placed academic focus on fewer topics per subject and required teachers to create lessons that increased critical thinking within the classroom (Missouri Department of Elementary and Secondary Education [MODESE], 2013b). To identify how the new standards might affect student achievement, four research questions were asked as part of this study. As a result of these questions, findings showed perceptions of …

An Examination Of The Long-Term Academic Impacts Of Students Who Participated In The Missouri Preschool Program In Rural Southwest Missouri, Clinton R. Hall

Dissertations

The focus of this mixed methods study was to examine the possible differences between students who participated in the Missouri Preschool Program (MPP) and peers who did not attend the program. Areas examined through quantitative data in the study included academic achievement in communication arts in kindergarten, first grade, and second grade. The qualitative piece of the study included examination of areas such as social development, emotional development, and school readiness. Quantitative data were collected from one school district in rural southwest Missouri. These data came from Aimsweb assessments conducted at the district for the kindergarten, first-grade, and second-grade levels …

Special Education Students And Standardized Assessments, Deborah Taylor

Dissertations

Special education students with many different disabilities are taught in today’s classrooms, and since the passing of the No Child Left Behind Act in 2001, they are required to take the same standardized assessments as their regular education peers (Resmovits, 2013). Within this study, data were analyzed to determine the perceptions of two groups, which included third-grade regular education teachers and special education teachers of special education students who took the same standardized assessments as their regular education peers. In addition, data were also examined to determine if there was a relationship between how teachers from the two groups responded …

Perceptions Of Southwest Missouri Superintendents In Regard To School Violence And Prevention, Ahlam Mohamed Krimid

Dissertations

This research involved examination of the causes of school violence, attitudes concerning violence, and preventative measures used by schools in the United States in relation to problems and solutions found in southwest Missouri schools. The goal of this dissertation was to study perceptions of school violence in the United States to form a better understanding of what schools are doing to combat violence and why these actions are seen as necessary for the safety of students, staff, and faculty within schools. To gather relevant information for the study, a literature review was conducted, followed by a written questionnaire administered to …

An Action-Research Case Study Of Professional Development On Essential Questions In A K-8 Private Parochial School, Ronda K. Cypret-Mahach

Dissertations

The purpose of this action-research case study was the investigation of possible pedagogical transformations teachers experienced through participation in professional development training of Essential Questions and student learning; specifically student questioning, reading, and math achievement. The research in this study investigated two core focal points: the possible shift in a teacher’s transformational practices after participation in professional development on Essential Questions (McTighe & Wiggins, 2013) and whether the implemented transformational practices led to a possible difference in student questioning skills in grades two through eight on the Measure of Questioning Skills, student achievement in STAR Math, and STAR Reading in …

Support Vector Machines And Artificial Neural Networks: Assessing The Validity Of Using Technical Features For Security Forecasting, James Dipadua

Dissertations

Stock forecasting is an enticing and well-studied problem in both finance and machine learning literature with linear-based models such as ARIMA and ARCH to non-linear Artificial Neural Networks (ANN) and Support Vector Machines (SVM). However, these forecasting techniques also use very different input features, some of which are seen by economists as irrational and theoretically unjustified. In this comparative study using ANNs and SVMs for 12 publicly traded companies, derivative price “technicals” are evaluated against macro- and microeconomic fundamentals to evaluate the efficacy of model performance. Despite the efficient market hypothesis positing the ill-suitability of technicals as model inputs, this …

A Mixed-Methods Study On Student Achievement In Reading And Teacher Professional Development In A K-2 Urban Public School Setting, Michelle Chism

Dissertations

To determine if a relationship existed between teacher professional development and student reading achievement for grades K-2, the researcher conducted a mixedmethods study to examine reading achievement and teacher professional development in a Midwest urban school district. If the researcher was able to show a relationship between teacher professional development and student reading achievement, recommendations could be made on research-based professional development models proven to increase student academic achievement and improve instructional practices within an underachieving school district. To determine if a relationship existed between the above-mentioned variables, the researcher examined student standardized reading achievement scores and teacher survey responses …

The Evolution Of A High-Achieving School: Creating A Cultural Shift Through A Schedule Change, Interventions, And Imbedded Collaboration, Beth Rapoff

Dissertations

Many research studies exist regarding high school master schedules. However, not one study could identify which schedule was “best” for high schools to implement. The researcher reviewed a variety of schedule types—traditional, drop 1, trimester, 4x4 block, A/B block, and modified block. The researcher also investigated interventions at the high school level. She also researched change and innovation. Lastly, she researched teacher collaboration. This study investigated changes a high-achieving high school made. The focus was on a master schedule change, interventions scheduled during the school day, and teacher collaboration scheduled during the school day. The purpose of this study was …

Gatton Academy Study Abroad Program Effects On Perceptions Of Community Belongingness And Personal Growth And Development, Derick Brandon Strode

Dissertations

This dissertation’s focus is at the intersection of study abroad, impact assessment, and a population of gifted and talented students at a specialized, residential high school called The Gatton Academy. A summative impact evaluation was conducted to assess effects of Gatton Academy study abroad programs on student participants’ perceptions of peer belongingness, mentor belongingness, and personal growth and development, as well as to compare differences among three different program models being employed by the school. The three program models studied included a Non-Credit program, a Faculty-led Field-Study, and a Faculty-led Traditional program. The research was conducted amidst documented calls for …

The Relationships Among Instructional Leadership, School Culture, And Student Achievement In Kentucky Elementary Schools, Karen H. Mackey

Dissertations

In an era of increased accountability and educational reform, schools and districts are searching for strategies to increase student achievement. The principal’s role has changed during the quest for school improvement to being an instructional leader. Principals are seeking knowledge to improve leadership behaviors and approaches to ultimately enhance student achievement. The perceptions of teachers concerning principal leadership behaviors and school culture are vital to educational growth.

This quantitative research study expands the focus of principal instructional leadership and school culture by examining their relationships to student achievement. Hallinger’s (2011) Leadership for Learning model provides a theoretical framework for this …

A Qualitative Inquiry Into One Teacher’S Metacognitive Processes As They Influence Reading Instruction, Jennifer Antoniotti-Neal

Dissertations

Despite over 40 years of research on the importance of metacognitive strategy instruction for increased student reading achievement, minimal research has been conducted to explore teacher’s explicit awareness of their metacognition and their ability to think about, talk about, and write about their thinking (Block & Pressley, 2002). Therefore, this qualitative case study investigates one teacher’s understanding of metacognitive awareness and missed opportunities for metacognitive comprehension strategy instruction in a reading classroom. One fourth-grade reading teacher from a proficient rural elementary school participated in this study. The data analysis results suggest that the participant’s metacognitive knowledge was limited and comprehension …

Support Vector Machines And Artificial Neural Networks: Assessing The Validity Of Using Technical Features For Security Forecasting, James Di Padua

Dissertations

Stock forecasting is an enticing and well studied problem in both finance and machine learning literature with linear based models such as ARIMA and ARCH to nonlinear Artificial Neural Networks (ANN) and Support Vector Machines (SVM). However, these forecasting techniques also use very different input features, some of which are seen by economists as irrational and theoretically unjustified. In this comparative study using ANNs and SVMs for 12 publicly traded companies, derivative price “technicals” are evaluated against macro and microeconomic fundamentals to evaluate the efficacy of model performance. Despite the efficient market hypothesis positing the ill suitability of technicals as …

Investigating The Impact Of Unsupervised Feature-Extraction From Multi-Wavelength Image Data For Photometric Classification Of Stars, Galaxies And Qsos, Annika Lindh

Dissertations

This thesis reviews the current state of photometric classification in Astronomy and identifies two main gaps: a dependence on handcrafted rules, and a lack of interpretability in the more successful classifiers. To address this, Deep Learning and Computer Vision were used to create a more interpretable model, using unsupervised training to reduce human bias.

The main contribution is the investigation into the impact of using unsupervised feature-extraction from multi-wavelength image data for the classification task. The feature-extraction is achieved by implementing an unsupervised Deep Belief Network to extract lower-dimensionality features from the multi-wavelength image data captured by the Sloan Digital …

An Exploration Of The Impact Of Animal Agriculture On Human Sustainable Development Index And The Child Health Indicator, Hithesan Pandian

Dissertations

Several studies have shown that animal agriculture is one of the major contributors to climate change due to greenhouse gas emissions, deforestation, land degradation, freshwater shortages, general environmental pollution and world hunger. Apart from this, meat consumption is strongly associated with certain fatal health conditions such as cancer, cardiovascular disease and diabetes (Wu, 2014). Although meat production and export could be economically beneficial in the short run, it could lead to over-exploitation of natural resources and in turn the destruction of the environment in the long run. Hence, it is essential for the leaders of a nation to make smart …

I Am My Sister's Keeper: Considering The Experiences Of African American Women Educators Working In Predominantly White Public School Systems, Lelia L. Flagg

Dissertations

The stories of African American women educators are often not dominant narratives in the field of education. Scholarly readings often overlook, discard, or omit the perspectives and voices of African American women educators (Bloom & Erlandson, 2003); Mabokela & Madsen, 2007; Patton & Catching, 2009; Revere, 1986). Furthermore, stereotypes, misrepresentations, and misgivings about African American women are abundant in popular press and media. This dissertation served as an outlet to present the authentic storytelling of ten African American women educators (N=10) in their voices and own words. The historical omission of the voices of African American women has had wide-reaching, …

In Vivo And In Vitro Studies Of Polyamides That Are Active Antiviral Agents Against Hpv16, Edith Csiki-Fejer

Dissertations

Long-term, persistent infection with high-risk strains of human papillomavirus (HPV) is the precursor of most cervical cancers and an increasing number of the head and neck cancers. While HPV vaccines can protect patients under twenty-five years old from possible infections, no HPV antiviral drugs are available for the definitive treatment of preexisting or future viral infections. To treat current or future HPV infections, drugs that selectively block virus-specific processes, but do not damage the host cells, are needed. The compounds developed in our group are unique Imidazole-pyrrole polyamides, analogs of natural products Distamycin A and Netropsin that function by interfering …

A Pilot Study: The Effects Of Mentoring On At-Risk African American, Ninth Grade Male Students, Tira C. Brockman

Dissertations

A pilot study on the effects of mentoring on ninth-grade at-risk African American males was completed with 25 students. This study was conducted during one calendar school year. The purpose was to use mentoring as an added intervention in support of some struggling students, males in particular, who were at-risk of dropping out of school before graduation. This study was meaningful, because these students were consistently failing, and the school was looking for innovative ways to academically encourage these at-risk students. The study was conducted at a ninth grade academy directly linked to the high school, in an urban city. …

A Mixed-Method Case Study Of Growth Mindset, Grit, And Reading Scores In A Midwest Public Elementary School, Christina Wilson

Dissertations

This study examined a possible relationship between grit, growth mindset, and reading scores. The study also examined the influence of grit and growth mindset on closing the achievement gap. Reading was an essential skill all students needed to achieve in order to be successful in school and life. Historically, schools implemented numerous academic interventions to ensure all students were proficient readers and to close achievement gaps in reading, yet the gaps continued to exist. The literature on noncognitive skills such as grit and growth mindset indicated teaching students these skills would increase academic achievement. The study collected teacher frequency of …

School Connectedness, Language Acquisition And Academic Success: A Study Of English Language Learners' Experiences At A Comprehensive High School, Philip M. Alfano

Dissertations

The purpose of this study was to explore differences in perceptions of school connectedness among Long Term English Learner (LTEL) students and Redesignated Fluent English Proficient (RFEP) students in a comprehensive high school setting. The study also seeks to determine whether or not there is a relationship between English language acquisition and perceptions of school connectedness among these two groups.

The target population was LTEL and RFEP students enrolled in grades 6-12 in public schools in Stanislaus County. Delimiting characteristics were applied to both the target population and the population sample to reduce variability. Quantitative data including artifacts and scaled …

Hamiltonian Bifurcations In Schrodinger Trimers, Casayndra H. Basarab

Dissertations

The phase space of the three-mode discrete NLS in the nonlinear regime with periodic boundary conditions is investigated by reducing the degree of freedom from three down to two. The families of standing waves are enumerated and normal forms are used to describe several families of relative periodic orbits whose topologies change due to Hamiltonian Hopf bifurcations and transcritical bifurcations. The Hamiltonian Hopf bifurcation occurs when eigenvalues on the imaginary axis collide and split and has two types: elliptic and hyperbolic. These two types arise in the DNLS problem, and the families of periodic orbits are discussed as a conserved …

Structural Exploration And Inference Of The Network, Ruihua Cheng

Dissertations

This dissertation consists of two parts. In the first part, a learning-based method for classification of online reviews that achieves better classification accuracy is extended. Automatic sentiment classification is becoming a popular and effective way to help online users or companies to process and make sense of customer reviews. The method combines two recent developments. First, valence shifters and individual opinion words are combined as bigrams to use in an ordinal margin classifier. Second, relational information between unigrams expressed in the form of a graph is used to constrain the parameters of the classifier. By combining these two components, it …

Numerical Simulations Of Dense Granular Systems With And Without Cohesive Effects, Lenka Kovalcinova

Dissertations

Granular materials are collections of objects ranging from sand grains that form sand piles or even sand castles to collections of large objects such as a group of meteors in outer space. The considered range of sizes of granular particles is such that the effect of thermal fluctuations is not relevant. However, the interaction between the particles may be very complex, involving inelasticity and friction, in addition to repulsive and possibly attractive interaction forces. These interactions that may be history dependent, make the systems that consist of a large number of particles complex to analyze and difficult to understand using …

Efficient High-Order Integral Equation Methods For The Heat Equation, Shaobo Wang

Dissertations

Efficient high-order integral equation methods have been developed for solving the boundary value problems of the heat equation with complex geometries in two and three dimensions. First of all, the classical heat potential theory is applied to convert such problems to Volterra integral equations of the second kind via the heat layer potentials. Some advantages of the integral formulation as compared with standard finite difference and finite element methods include reduction of the dimension of the problem by one, high order accuracy, unconditional stability, insensitivity to different geometries, and elimination of truncating the computational domain and the need of artificial …

Optimization Of Headway, Stops, And Time Points Considering Stochastic Bus Arrivals, Liuhui Zhao

Dissertations

With the capability to transport a large number of passengers, public transit acts as an important role in congestion reduction and energy conservation. However, the quality of transit service, in terms of accessibility and reliability, significantly affects model choices of transit users. Unreliable service will cause extra wait time to passengers because of headway irregularity at stops, as well as extra recovery time built into schedule and additional cost to operators because of ineffective utilization of allocated resources.

This study aims to optimize service planning and improve reliability for a fixed bus route, yielding maximum operator’s profit. Three models are …

Accelerating Data-Intensive Scientific Visualization And Computing Through Parallelization, Dongliang Chu

Dissertations

Many extreme-scale scientific applications generate colossal amounts of data that require an increasing number of processors for parallel processing. The research in this dissertation is focused on optimizing the performance of data-intensive parallel scientific visualization and computing.

In parallel scientific visualization, there exist three well-known parallel architectures, i.e., sort-first/middle/last. The research in this dissertation studies the composition stage of the sort-last architecture for scientific visualization and proposes a generalized method, namely, Grouping More and Pairing Less (GMPL), for order-independent image composition workflow scheduling in sort-last parallel rendering. The technical merits of GMPL are two-fold: i) it takes a prime factorization-based …

Algorithms For Pre-Microrna Classification And A Gpu Program For Whole Genome Comparison, Ling Zhong

Dissertations

MicroRNAs (miRNAs) are non-coding RNAs with approximately 22 nucleotides that are derived from precursor molecules. These precursor molecules or pre-miRNAs often fold into stem-loop hairpin structures. However, a large number of sequences with pre-miRNA-like hairpin can be found in genomes. It is a challenge to distinguish the real pre-miRNAs from other hairpin sequences with similar stem-loops (referred to as pseudo pre-miRNAs). The first part of this dissertation presents a new method, called MirID, for identifying and classifying microRNA precursors. MirID is comprised of three steps. Initially, a combinatorial feature mining algorithm is developed to identify suitable feature sets. Then, the …

An Integrated Transport Solution To Big Data Movement In High-Performance Networks, Daqing Yun

Dissertations

Extreme-scale e-Science applications in various domains such as earth science and high energy physics among multiple national institutions within the U.S. are generating colossal amounts of data, now frequently termed as “big data”. The big data must be stored, managed and moved to different geographical locations for distributed data processing and analysis. Such big data transfers require stable and high-speed network connections, which are not readily available in traditional shared IP networks such as the Internet. High-performance networking technologies and services featuring high bandwidth and advance reservation are being rapidly developed and deployed across the nation and around the globe …