Digital Commons Network^™

Comparison Between The Effectiveness Of Mysci And Openscied Curricula On The Achievement And Attitudes Of Eighth Grade Science Students, Nicole Vick, Nina Blanton

Dissertations

Educators have struggled with maintaining student engagement in science, especially as students transition from primary to middle school and upper grades (Vedder-Weiss & Fortus, 2012). A recent push in science education has been the adoption of the Next Generation Science Standards (NGSS), released in 2013, whose development was guided by A K-12 Framework for Science Education (NGSS Lead States, 2013). As a result, more educators have been incorporating curricula that require students to ascertain disciplinary core ideas using lenses of cross cutting concepts while engaged in science and engineering practices; the three dimensions of NGSS performance expectations (PE) also …

Development Of Graphene And Graphene Derivative Advanced Functional Additives: Mechanism And Application In Asphalt Formulations And Thermal Interface Management Materials, Dana Pinson

Dissertations

The overarching focus of my research is the use of graphene and graphene derivatives to enhance polymer properties. My first focus area was the prevention of oxidative degradation of asphalt through the incorporation of a graphene oxide (GO) -based nanoparticle filler to enhance oxygen barrier properties. Primary amine terminated polyisobutylene was synthesized via cationic polymerization followed by post polymerization chain end modification in a range of molecular weights and covalently grafted via the primary amine to graphene oxide aerogel (aGO) to create a polyisobutylene grafted graphene oxide (PIB-g-GO) nanoparticle. PIB-g-GO was then mixed into a substitute asphalt matrix at various …

An Action Research Study On Visible Learning Feedback And Motivational Interviewing Concerning Underserved Advanced Placement Students, Lori A. Vaughn

Dissertations

Underserved minority students participating in Advanced Placement (AP) courses encountered increased academic pressures, in addition to inequitable conditions in education. The following study addressed inequity, as well as self-motivation, self-regulation, feedback practices, and student autonomy. The researcher implemented Visible Learning Feedback, an academic intervention, focused on bridging the gap in knowledge (Brooks et al., 2019; Hattie & Yates, 2014). Furthermore, the researcher designed a Motivational Interviewing (MI) pilot program, a client-centered approach concentrated on participant social-emotional well-being (Miller & Rollnick, 2013). The study’s purpose involved improving AP exam scores, increasing post-test essay grades, and raising self-motivation and self-regulation measurements through …

Learning Finite Mixture Of Ising Graphical Models, Chong Gu

Dissertations

The Ising model is valuable in examining complex interactions within a system, but its estimation is challenging. In this work, we proposed penalized likelihood procedures to infer conditional dependence structure when observed data come from heterogeneous resources in high-dimensional setting. The proposed method can be efficiently implemented by taking advantage of coordinate-ascent, minorization–maximization principles and EM algorithm. A BIC-type criterion will be utilized for the selection of the tuning parameter in the penalized likelihood approaches. The effectiveness of the proposed method is supported by simulation studies and a real-world example.

Functional Generalized Linear Mixed Models, Harmony Luce

Dissertations

With the advancements in data collection technologies, researchers in various fields such as epidemiology, chemometrics, and environmental science face the challenges of obtaining useful information from more detailed, complex, and intricately-structured data. Since the existing methods often are not suitable for such data, new statistical methods are developed to accommodate the complicated data structures.

As a part of such efforts, this dissertation proposes Functional Generalized Linear Mixed Model (FGLMM), which extends classical generalized linear mixed models to include functional covariates. Functional Data Analysis (FDA) is a rapidly developing area of statistics for data which can be naturally viewed as smooth …

Enabling Energy Efficiency In Connected And Automated Vehicles Through Predictive Control Techniques, Farhang Motallebiaraghi

Dissertations

The transportation sector is a significant contributor to global energy consumption and emissions, necessitating the development of sustainable transportation systems. In this regard, connected and automated vehicles (CAVs) have emerged as a potential solution to transform the transportation industry. By harnessing advanced mapping and location technologies, Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, CAVs offer the promise of improving efficiency, reducing traffic congestion, and enhancing safety and comfort. However, the adoption of CAVs also brings about various challenges, including energy efficiency concerns that need to be addressed to fully realize their potential benefits. This dissertation investigates energy-efficient control techniques for transportation …

Nonparametric Tests For Replicated Latin Squares, Joseph Yang

Dissertations

Two classes of nonparametric procedures for a replicated Latin square design that test for both general and increasing alternatives are developed. The two classes of procedures are similar in the sense that both transform the data so that existing well-known tests for randomized complete block designs can be utilized. On the other hand, the two classes differ in the way that the data is transformed - one class essentially aggregates the data while the other class aligns the data. Within these contexts, the exact distributions and asymptotic distributions are discussed, when applicable. The exact distributions are easily computed using the …

Evaluating The Performance Of Estimators In Sem And Irt With Ordinal Variables, Bo Klauth

Dissertations

In conducting confirmatory factor analysis with ordered response items, the literature suggests that when the number of responses is five and item skewness (IS) is approximately normal, researchers can employ maximum likelihood with robust standard errors (MLR). However, MLR can yield biased factor loadings (FL) and FL standard errors (FLSE) when the variables are ordinal. Other estimators are available. Unweighted least squares and weighted least squares with adjusted mean and variance (ULSMV and WLSMV) are known as the estimators for CFA with ordinal variables (CFA-OV). Another estimator, marginal maximum likelihood (MML), is used in the item response theory (IRT), specifically …

Wideband Parameter Estimation Of Overhead Transmission Lines From Terminal Measurements, Fahad J. Alqahtani

Dissertations

The accurate and efficient determination of electrical parameters of transmission lines is essential when performing computer-aided analyses of power systems, including power-flow, state estimation, short-circuit, transient stability, power quality, and electromagnetic transients.

In this dissertation, a novel technique for wideband parameter estimation of frequency-dependent single-phase, three-phase transposed, and three-phase untransposed overhead lines, is proposed. The proposed technique utilizes terminal measurements of transient voltages and currents and is based on an analytical approach to solve the frequency domain 2-port nodal model of the line for the series impedance and shunt conductance per unit length as a function of the frequency. The …

The Skin I’M In: A Critical Content Analysis Of Picture Books Written By Black Authors, Angela Latrece Justice

Dissertations

This study seeks to explore the experiences of Black male protagonists in picture books. The following question guided this study: How do Black authors demonstrate a commitment to social justice? The theoretical framework that guides this study is Critical Race Theory (CRT), which aids in understanding how Black authors use experiential knowledge to represent experiences that challenge dominant ideologies about Black males. The sample consists of 20 pictures books all written by Black authors and published within the United States from 2018 to 2021. The deductive and inductive approaches to critical content analysis is used as it is effective for …

Impact Of Covid-19 On Latinx And Black Communities, Carolina Zuluaga

Dissertations

This critical literature review project explored the impact of COVID-19 on Latinx and Black communities. According to the Centers for Disease Control and Prevention, as of September 28, 2022, around 16% of COVID-19 cases in the United States were among Latinx people, and 14% of cases were among Black people (Centers for Disease Control and Prevention, 2022). Since COVID-19 began, clinicians have become more conscious of the effects of health disparities within racial and ethnic minorities, which has warranted increased advocacy by educating health and mental health providers and creating and providing resources to these communities and clinicians. The review …

Improving Second Language Learning Through Performance-Based Assessment Practices, Maria Granados

Dissertations

From the time of the No Child Left Behind Act (2001) to the present day, standardized testing has become the benchmark measure for student assessment and school accountability in the United States. Multilingual learners are a vulnerable population with more testing and accountability requirements than mainstream students. Not only are they required to learn a second language, but they are also assessed within the same standardized testing paradigms as their peers - native speakers of the English language. This study aimed to examine and evaluate the benefits of instructional practices and assessments that provide multilingual students and teachers prompt and …

An Inaugural, Qualitative Examination Of The Relationships Between People With Gender Nonconforming Expression And Social Anxiety, Chrystiana Jones

Dissertations

The focus in this research was on the experience of social anxiety associated with people with gender nonconformity. The study involved consideration of the issues people with gender nonconformity face as well as the mental impact that often occurs as a result of the rejection of other people in their lives, including their family and friends, as well as how and in what ways gender nonconforming people are affected by negativity in their environment. Data related to the problems that develop with such people, in particular the impact of stigmatization, discrimination, and social anxiety on people with gender nonconformity were …

Adverse Childhood Experiences(Aces) And Nonverbal Reasoning Skills, Monika Malinowska

Dissertations

Severe stress and interpersonal traumatic experience in childhood have a cascade effect on an individual's physical and mental health. There is evidence that people with complex adverse childhood experiences have diminished cognitive abilities. However, there are few studies on the effects of Adverse Childhood Experiences (ACE) on non-verbal reasoning skills. This study aimed to assess the relationships between ACEs, non-verbal reasoning skills, and academic achievement.

Parenting And Students' Gpa In The Latino Population: An Exploratory Study, Carolina Arboleda

Dissertations

The present study experimentally investigated Latino high school students’ grade point averages (GPA) and the parenting styles used by their parents based on Baumrind’s (1968, 1971, 1989, 1991) theory of parenting behaviors. Participants (N=52) were asked to take a survey of 62 questions total addressing three parenting dimensions as measured by the Escala Parental Breve to categorize their parents’ behaviors into parenting styles. Participants also responded to demographic questions such as English proficiency, household income, parents’ education level, and other relevant factors impacting parenting and GPA. Results from the study were limited as there was a limited number of participants; …

Stereotype Threat: A Proposed Process Model On The Impact Of Stereotype Threat On Self-Efficacy And Minority Performance, Sherese Stewart

Dissertations

Kingdon and Cassen (2010) indicated that historically there has been concern about the educational achievement of minority individuals. There is a need for research about the psychological mechanisms that play a part in the minority achievement gap. This document explored how stereotype threat impacts self-efficacy and minority academic performance and implications for cultural mistrust, imposter phenomenon, and self-fulfilling prophecies. All these factors have the propensity to place minority individuals at risk for low performance, leading to gaps in education. The population of focus for this review consisted of African Americans, Latinx individuals, and women. There has been limited research about …

Narratives Of Perseverance By Latina Women Paving Their Way To Success In Science, Technology, Engineering, Art, And Math (Steam) Higher Education, Toni Carmichael

Dissertations

The purpose of this narrative study was to understand the experiences of successful Latina women attaining higher education in Science, Technology, Engineering, Art, and Mathematics (STEAM) and the challenges they have overcome along the way. Additionally, I sought to examine ways in which these students challenged the stigma of invisibility often attached to Latino communities. Representatives from Brazil, Ecuador, El Salvador, and Mexico, the participants of this study were seven women employed in various areas of STEAM with higher education degrees.

Cultural Capital and Feminist Cultural Studies provided the theoretical framework for this study. The three-dimensional narrative design was applied …

Student Proficiency On High School Math Assessments And Their Relation To College And University Math Readiness, Tiffany Robinson

Dissertations

Data indicate that a significant number of first-year college students were inadequately prepared in high school to complete university-level mathematics courses. The purpose of this study is to evaluate student proficiency on high school mathematics assessments and their relation to student preparedness for university-level mathematics courses. The context of my study is a cohort of diverse, high school senior students in one state in the United States who have shown proficiency on mathematics assessments. The methodology I used was a mixture of qualitative and quantitative data, comprised of student and faculty index surveys at the high school and university level …

A Rudimentary Framework Of The Emergence Of Naturally-Occurring Mentorships, Aaron S. Baker Cervantes

Dissertations

Cross-age relationships between youth and adults that develop organically outside the construct of youth programs are examples of natural mentoring relationships. In the United States, research has demonstrated the positive impact of these mentorships. Scholars have begun applying concepts learned from natural mentoring to formal mentoring schema; however, much work is yet to be done in examining how these relationships emerge and the factors that impact their development. Designed in partnership with a private secondary school in rural México, this study aimed to unpack these questions using a grounded theory approach. Current students, alumni, and teachers participated in the study …

The Mobility Of Long-Lived Radioisotopes And Their Burial In The Marine Environment, Neil Redmond

Dissertations

Marine sediments record chemical signals that reflect past environmental conditions. It is important to establish how these signals are created and whether they may be altered over time so that they can be useful for reconstructing ocean history. Measurements of uranium isotopes are used as a novel proxy for sedimentary diagenetic processes (Chapter 2). Because ²³⁴U can be ejected from mineral lattice during the decay of ²³⁸U, it creates a pool of U in porewater that is potentially mobilized and then deposited elsewhere in the core. We found that alpha-recoiled ²³⁴U is sensitive to differences in sediment …

Unraveling The Origins Of Grb190114c: An Investigation Of Progenitor Models Through Observational Analysis, Nusrin Habeeb

Dissertations

Gamma-ray bursts (GRBs) are among the most energetic and violent events in the universe, characterized by sudden and intense emission of gamma rays lasting from a fraction of a second to several minutes. The primary focus of this thesis is to study gamma-ray bursts (GRBs), with a specific emphasis on GRB190114C. GRB190114C is a long-duration GRB that was detected on January 14, 2019, by the Fermi Gamma-ray Burst Monitor (GBM) and the Swift Burst Alert Telescope (BAT). It had a T₉₀ duration of 116 s and a redshift of z = 0.4245, which corresponds to a luminosity distance of …

Effect Of Collaborative Pre-Task Planning On The Writing Quality Of Intermediate Efl Learners Within The Task-Based Language Teaching Approach, Osama Naeem Alzoubi

Dissertations

This dissertation explores the collaborative pre-task planning taking place prior to writing within the Task-Based Language Teaching (TBLT) framework. The primary aim of this dissertation is to examine how providing time for PTP, considered as a problemsolving activity, has the potential to more positively enhance L2 writers’ performance and motivation to write than writing tasks performed with no planning time. Through a mixed methods experimental design, intermediate school students were distributed into a control and experimental group and conducted a pre-test and post-test to enable the collection of both quantitative and qualitative data over a ten-week period. The actual writing …

Blockchain-Enabled Ehr Sharing In Healthcare Federation: Sharding And Interblockchain Communication, Faiza Hashim

Dissertations

Electronic Health Records (EHRs) are crucial components of the healthcare system, facilitating accurate and efficient diagnosis. Blockchain technology has emerged as a promising solution to improve EHRs sharing among medical practitioners while ensuring privacy and security. By leveraging its decentralized, distributed, immutable, and secure architecture, blockchain has the potential to revolutionize the healthcare system. However, due to security concerns, blockchain networks in healthcare typically operate in private or consortium modes, resulting in isolated networks within a federation. Scalability remains a significant challenge for blockchain networks, as the number of participating nodes increases within each network of the federation. Consensus mechanisms …

Evaluation Of A Classroom Management Video Training Package, Avner Fraidlin

Dissertations

To address the concerning implications of inadequate teacher preparation and training in using classroom management, the literature highlights several steps training programs can take. Namely, this includes supplementing training curricula with dedicated courses on evidence-based classroom management practices and providing teachers with performance feedback following guided practice opportunities (Stevenson et al.,2020). Videos which have been used as an instructional tool in teacher education for several decades (Ciani et al., 2021; van Es & Sherin, 2006), have been incorporated as a component in classroom management teacher trainings with positive outcomes (Wilkinson et al., 2020), and feedback has been established as an …

An Engineering Approach For Evaluating The Lifetime Experience Of Sex Trafficking Victimization, Kimberly Starr Nagulpelli

Dissertations

This research is an original approach that applies industrial engineering and operations research tools to the sociological problem of sex trafficking victimization. Such an approach enables quantitative evaluation of the impacts on an individual’s lifetime by anti-trafficking efforts and public policies.

A fully interconnected, lifetime model for the experience of sex trafficking victimization is defined as the result of a comprehensive review of literature. Beginning with victimization risk, the defined model is an anticipatory tool to understand the incidences and consequences to individuals during their lifetime. This research develops the model further into a Discrete-Time Markov Chain (DTMC) with definitions …

Prospective Mathematics Teachers’ Technological Pedagogical Content Knowledge In Pieces, Nicholas Eric Witt

Dissertations

Productively integrating technology is a vitally important part of teachers’ practice (Barlow, 2021; Bezuk et al., 2017; NCTM, 2018). To adequately prepare Prospective Mathematics Teachers (PMTs) for the demands of teaching professionally, we need to understand more about how teachers and PMTs learn to integrate technology into their classroom. Some models exist related to teachers’ knowledge of integrating technology (e.g., Mishra & Koehler, 2006; Rocha, 2020). However, these models do little to conceptualize the knowledge resources that are activated in the moment of designing technologically-enhanced, conceptually-oriented mathematics tasks. This dissertation draws on ideas from the Knowledge in Pieces (KiP) (diSessa, …

Bismuth And Lanthanides In Mixed Metal Oxides To Metal– Organic Frameworks: Synthesis, Cherectarization, And Photocatalytic Performance, Reem H. Alzard

Dissertations

Known as rare–earth elements (REE), lanthanides (Ln) found in f–blocks of the periodic table, have gained much interest because of their unique characteristics including magnetism, photoluminescence and catalysis. Having a diverse range of coordination geometries, lanthanides can result in different complexes and materials. Herein, three classes of materials containing selected lanthanides such as lanthanide bismuth mixed metal oxides (Ln–Bi oxides), 1D lanthanide coordination polymers (Ln–CPs) and lanthanide metal–organic frameworks (Ln–MOFs) were investigated. Simple route sol– gel method was used to prepare Ln–Bi oxides while Ln–CPs and MOFs were prepared by solvothermal condition. The materials were characterized using multiple analytical, spectroscopic …

Stream-Evolving Bot Detection Framework Using Graph-Based And Feature-Based Approaches For Identifying Social Bots On Twitter, Eiman Alothali

Dissertations

This dissertation focuses on the problem of evolving social bots in online social networks, particularly Twitter. Such accounts spread misinformation and inflate social network content to mislead the masses. The main objective of this dissertation is to propose a stream-based evolving bot detection framework (SEBD), which was constructed using both graph- and feature-based models. It was built using Python, a real-time streaming engine (Apache Kafka version 3.2), and our pretrained model (bot multi-view graph attention network (Bot-MGAT)). The feature-based model was used to identify predictive features for bot detection and evaluate the SEBD predictions. The graph-based model was used to …

Synthesis, Characterization, And Photocatalytic Activity Of Photoactive Mofs And M-Hof Under Simulated Visible Light Irradiation, Lamia Ali Siddig

Dissertations

The increasing global energy demand has resulted in environmental issues, leading to a shift in research towards sustainable and renewable energy sources. Among these, solar energy is the most abundant natural resource available. One of the most profitable ways to utilize sunlight is through chemical transformation using photocatalysts. In this regard, we reported the synthesis of different stable porous materials, such as metal-organic frameworks (MOFs) and metal hydrogen-bonded organic frameworks (M-HOFs). The MOF photocatalysts are bismuth-gallate (Bi-gallate), a mixed ligand manganese-based MOF (Mn^II₃(tp)_6/2(bpy)₂. (dmf)) and a new hexagonal layer manganese MOF compound named …

Machine Learning And Network Embedding Methods For Gene Co-Expression Networks, Niloofar Aghaieabiane

Dissertations

High-throughput technologies such as DNA microarrays and RNA-seq are used to measure the expression levels of large numbers of genes simultaneously. To support the extraction of biological knowledge, individual gene expression levels are transformed into Gene Co-expression Networks (GCNs). GCNs are analyzed to discover gene modules. GCN construction and analysis is a well-studied topic, for nearly two decades. While new types of sequencing and the corresponding data are now available, the software package WGCNA and its most recent variants are still widely used, contributing to biological discovery.

The discovery of biologically significant modules of genes from raw expression data is …