Digital Commons Network^™

A Phenomenological Study On University Students’ Perceptions And Attitudes Of The Effectiveness Of Mobile Apps On Communicative Competence, Leveth Jackson

Theses and Dissertations

This phenomenological study is focused on understanding how university students who are learning English as a foreign language (EFL) perceive and experience using mobile application on their speaking abilities. The primary goal was to examine the perception and attitudes of EFL learners towards using mobile apps for independent English-speaking practice and creating a customized learning experience outside of the classroom.

The researcher also investigated the participants’ views on the challenges and advantages of incorporating mobile apps into university speaking courses. The findings of this investigation may inform language educators at universities on the potential benefits of using mobile apps in …

African American Parents And School-Based Parental Involvement At The Secondary Level, Mark A. Dykes

Theses and Dissertations

Parental involvement is a multifaceted construct that includes school-based, home-based, and academic socialization. School-based parental involvement in education has been positively associated with academic achievement for all students. However, educational leaders are challenged to get parents involved in school-based activities, such as the School Site Council, Parent Council, and Open Houses.

The purpose of this qualitative descriptive study is to examine the reasons why African American parents are not fully involved in the policymaking and organizational activities at the target secondary school. This study is guided by the combined conceptual frameworks of Critical Race Theory, the Hoover-Dempsey and Sandler framework, …

Instructional Leadership And Self-Efficacy: A Case Study About Elementary School Principals, Barbara J. Hall

Theses and Dissertations

The aim of this applied dissertation was to develop a better understanding of how elementary principals in a large school district in the southeastern United States perceive their self- efficacy as instructional leaders and administrators. The pressures of high accountability play an impactful role in how principals view their roles and their ability to perform effectively.

This qualitative case study utilized interviews and Photovoice for data collection. Participants were six elementary school principals from the same southeastern school district. Participants were interviewed independently. A second, photo-elicited interview was conducted with each participant to discuss the significance of their photographs. A …

Stakeholder Participation And Perceptions In Professional Learning Communities: A Case Study In A Small, Rural School District, Rachel M. Kowalski

Theses and Dissertations

This applied dissertation explored the interplay between collaboration within PLCs and classroom teacher perceptions of PLC implementation within a small, rural district. It examined how the involvement of different stakeholders in PLCs connects to overall perceptions of professional learning communities and how the participation of principals, administrators, and paraprofessionals shapes collaboration. The unique setting of a small and rural school district allowed the study to consider close interpersonal relationships that are common within these settings since these districts have limited human resources and individuals serve in various capacities within the organization. When stakeholders actively participate in PLCs, concerns arise about …

Towards Machine Learning-Based Control Of Autonomous Vehicles In Solar Panel Cleaning Systems, Farima Hajiahmadi

Theses and Dissertations

This thesis presents a machine learning (ML)-based approach for the intelligent control of Autonomous Vehicles (AVs) utilized in solar panel cleaning systems, aiming to mitigate challenges arising from uncertainties, disturbances, and dynamic environments. Solar panels, predominantly situated in dedicated lands for solar energy production (e.g., agricultural solar farms), are susceptible to dust and debris accumulation, leading to diminished energy absorption. Instead of labor-intensive manual cleaning, robotic cleaners offer a viable solution. AVs equipped to transport and precisely position these cleaning robots are indispensable for efficient navigation among solar panel arrays. However, environmental obstacles (e.g., rough terrain), variations in solar panel …

Teachers’ Conceptions Of Students’ Data Literacy In Life Science And Physical Science Classes, Bridget Nicole Smith

Theses and Dissertations

Data literacy in science is an evolving field of study as students need to be able to collect, analyze, interpret, and make inferences from different sources of data. Much research centers on teachers' use of data to improve instructional practices, but less focus on teachers' conceptions of student data literacy and strategies used to foster data literacy in life and physical science high school classes. Thus, there is a need to address this area as recent Georgia assessments reveal that over 50% of students are performing below proficiency level in science. Consequently, this research sought to understand teachers’ conceptions of …

Towards Energy-Efficient Edge Computing For Tiny Ai Applications, Vamsi Krishna Bhagavathula

Theses and Dissertations

As artificial intelligence (AI) applications become more common on the edge of networks, like Raspberry Pi servers, it is crucial to optimize their energy use. This research project investigates how AI algorithms affect energy efficiency and resource usage on Raspberry Pi servers. Two models were created: one predicts resource usage, and the other predicts power consumption of AI algorithms on Raspberry Pi. Several factors are considered like CPU and memory use, algorithm speed, dataset size, and types of algorithms and datasets. Using regression-based methods, we model how these factors affect energy use. By converting categorical factors into numerical ones, we …

Examining The Perspectives Of Rural Secondary Students Who Are And Are Not Considering Music Education As A Collegiate Major, Eugene Talmadge Butler Ii

Theses and Dissertations

A problem exists in recruiting new music educators to the teaching profession. This problem is impacting the quality of instruction students are receiving from teachers in music education. The shortage of music teachers in music education is continuing to grow. This teacher shortage includes both core classes and specialized classes including music education. Many possible factors contribute to this problem, including teacher recruitment at the secondary level. This mixed methods research study attempts to provide in-depth answers to the problem through examining the perspectives of secondary students who are and are not considering music education as a major in college. …

3ddp Engineering Design Intervention Impacts On Student Perceptions, Attitudes, And Interest Towards Engineering, James Robert Kane

Theses and Dissertations

The study, “3DDP Engineering Design Intervention Impacts on Student Perceptions, Attitudes, and Interest Towards Engineering” explored the impact of a culturally responsive, semi-formal 3D printing (3DDP) intervention on middle school students' perceptions, attitudes, and interest in engineering. The intervention aimed to broaden access to engineering education by providing formative experiences outside traditional classroom settings within the regular school day. A multifaceted approach was employed, utilizing quantitative analysis of assessments and surveys, qualitative analysis of written responses, follow-up interviews, and student-produced artifacts. The intervention functioned as a student-driven engineering club, integrating culturally relevant themes and hands-on activities spanning diverse engineering domains. …

Blockchain For Computational Integrity And Privacy, Rahul Raj

Theses and Dissertations

This study proposes a blockchain based system that utilizes fully homomorphic encryption to provide security of data in use as well as computational integrity. This is achieved by leveraging the attributes of blockchain which provides availability and data integrity combined with homomorphic encryption that provides confidentiality. The proposed system is designed to perform statistical operations, including mean, median and variance, on encrypted data, thus providing confidentiality of data while in use. The computations are performed on the smart contract, residing on the blockchain which provides computational integrity. The results indicate that it is possible to perform fully homomorphic computations on …

Examining The Implications Of Virtual Credit Recovery On High School Student Achievement In Eoc Classes, Lakeisha Griffith

Theses and Dissertations

High school graduation is an important accomplishment not only for the graduates; but also, society. Whether students enter the workforce, armed services, or seek post-secondary studies at institutions of higher learning, the road to earning the coveted high school diploma can be an immense struggle for many. For decades, architects of educational reform movements have struggled to concoct the just right potion to ensure all students graduate college and/or career ready. Providing high school students an opportunity to participate in asynchronous credit recovery may be a close second to the silver bullet. This causal comparative quantitative research study examines the …

Advanced Placement Teachers’ Perspectives On Effectiveness Of Georgia Gifted Legislation: A Generic Qualitative Study, Rebekah Annette Atkinson

Theses and Dissertations

Gifted students from minority backgrounds, including low SES, African American and Latinx students, are underrepresented in gifted education, specifically high school Advanced Placement (AP) programs. Despite national legislation and guidance, the federal government allows individual states, including Georgia, to create their own gifted policies and delegate implementation to individual districts. Georgia, like many other states, continues to show inequity in gifted education for minority students and deficiencies in gifted instruction. The purpose of this study was to examine the extent of inequity in gifted education for high school students in Georgia through a generic qualitative research design that analyzed AP …

Advancing Explainability In Multi-Label Classification For Tomato Disease Detection Using Machine Learning Interpretability Techniques, Md. Nurullah

Theses and Dissertations

Plant diseases pose a significant threat to global food security, affecting crop yield, quality, and overall agricultural productivity. Traditionally, diagnosing plant diseases has relied on timeconsuming visual inspections by experts, which can often lead to errors. With the rapid growth of technology, machine learning (ML) and artificial intelligence (AI) have opened new possibilities for automating this process. One of the most promising technologies for plant disease diagnosis is Convolutional Neural Networks (CNNs), which have proven effective in image classification tasks. Plant leaves, often exhibiting symptoms such as discoloration and irregular textures, serve as key indicators for disease detection. By processing …

Determining Hydraulic Characteristics In Close Proximity Of Hymenocallis Coronaria Within The Flint River Basin, Georgia, Sarah K. Tash

Theses and Dissertations

Emergent macrophytes in river systems occupy a narrow habitat for optimal survival. Each plant species adapts to a set of conditions that meets the physiological requirements to grow and reproduce. The influence of hydraulic characteristics on plant morphology is significant within fluvial systems. Macrophytes must be able to withstand swift flowing water and changes in water surface levels in order to compete with other plant species for limited habitat availability. In addition, emergent macrophytes require water levels to be low enough to allow the reproductive portion of plants to remain above water during certain times of the year. Hymenocallis coronaria …

Social Engagement Gaps Between Science, Technology, Engineering, And Mathematics (Stem) F-1 Visa International Students And American Students In Us Universities, Sairagul Matikeeva-Kinney

Theses and Dissertations

The purpose of this qualitative exploratory descriptive study was to explore the perceptions of F1 visa STEM international students at a four-year private university about their social engagement experiences with their American peers, and how the absence of such engagement practices frames the international students’ sense of mattering and marginality and overall college experience. The study focused only on F-1 visa international students’ perceptions and utilized the marginality and mattering theory (MMT) (Schlossberg, 1989) as a theoretical framework. The social constructivism paradigm was utilized to explain how international students construct their knowledge and perceptions of social engagement with American peers, …

Teachers’ Perceptions Of Professional Learning Communities, Niketta Christina Kelly

Theses and Dissertations

This study explored the influences of a social emotional learning (SEL) focused professional learning community (PLC) participation with core content high school teachers. Numerous schools throughout the nation claim to be implementing PLCs by engaging in activities like book studies, attending conferences, or district led meetings. Simply labeling a meeting or initiative as a PLC does not align with the central tenets of true PLCs, and do not increase teaching practices or student learning. The sole purpose of real PLCs is to ensure all students learn at high levels. An authentically aligned PLC embodies a solid foundation of shared mission, …

Physics-Informed Neural Networks (Pinns) And Inverse Pinns For The Modeling And Parameter Estimation Of Electric Pumps In Liquid-Propellant Rocket Engines, Logan Mcfarland

Theses and Dissertations

This thesis presents a machine learning (ML) based approach to both model and estimate the parameters of an electric pump system that is used in liquid-propellent rocket engines. This is accomplished by utilizing Physics-Informed Neural Networks (PINNs) and inverse Physics-Informed Neural Networks (iPINNs). In an extreme system such as a liquidpropellent rocket engine, accurate control and efciency is imperative for successful performance. The electric pump system is inherently nonlinear and its dynamics are governed by ordinary diferential equations (ODEs). While entirely approachable, these nonlinear dynamics create a challenge in achieving precise control and accurate parameter estimations. Utilization of a PINN …

Rural Educators’ Perceptions Of The Use Of Personalized Learning As A Possible Means To Enhanced Student Learning, Shiona Shanel Drummer

Theses and Dissertations

The aim of this qualitative study was to investigate rural educators’ perceptions of Personalized Learning as a possible means to enhance student learning. The theoretical framework for this study was Weick’s Theory of Sensemaking (Vazquez et al., 2022). Sensemaking is how people make sense of new phenomena and apply that knowledge to situations. The Personalized Learning Conceptual Framework for this study is based on Georgia’s 9 Essential Conditions of Personalized Learning and the 10 Standards of Practice that support the essential conditions. A basic interpretive study was conducted, which utilized a survey and individual, semi-structured interviews to collect data from …

A Scoping Review Of Perceptions And Fears Experienced By Families With Children With Developmental Disabilities In Sub-Saharan Africa., Isaac Twum Boamah

Theses and Dissertations

The prevalence of perception and fear surrounding families with children with developmental disabilities in Sub-Saharan Africa reveal a complex interplay of cultural, social, economic, and healthcare factors. This interplay of factors results in stigma, which often leads to societal misconceptions and discrimination, exacerbating the challenges faced by affected families. This study seeks to identify the individual and family perception of developmental disabilities, document the stigma experienced by the individual and their families, and document the resources available to help alleviate the plight faced by the individuals and their families. It further seeks to find gaps in the literature on developmental …

Investigating Ammonium Toxicity In The Performance Of Recirculating Periphytic Algal Wastewater Treatment Systems, Oluchuku Richie Ochonogor

Theses and Dissertations

Freshwater nutrient enrichment from wastewater facilities and other sources can lead to freshwater eutrophication, a threat to global aquatic ecosystems. Mechanical and chemical ways to curb this threat are either too expensive or not sustainable, and thus, not feasible. Compared to mechanical and other methods, sustainable, inexpensive biological methods (for example, algal treatment systems) have therefore been developed for the removal of excess nutrients from wastewater. By design, secondary waste treatment facilities (WWTF) remove organics and solids and lower oxygen demanding substances; however, they may not remove enough nutrients to protect freshwater ecosystems in all cases. While algae-based biological methods …

School-Based Educators’ Perceptions Of Professional Development And Its Impact On Their Ability To Improve Literacy Instruction For Underperforming K-2 Students, Monica Mcdaniel

Theses and Dissertations

The purpose of this qualitative exploratory case study was to examine school-based educators’ perceptions of professional learning and its impact on their ability to improve literacy instruction. The perceived role of the principal in the implementation, monitoring, and sustaining professional learning was also explored. A total of eight teachers, two media specialists, two instructional coaches, and five school leaders at two elementary schools in the Southeast United States participated in the study. Findings include the importance of quality, ongoing professional development, the leader’s role in planning, participation in, and supporting teachers through the professional development process, and everyone’s role in …

A Phytochemical Analysis Of Secondary Metabolites In Eupatorium Serotinum, Elise Snow

Theses and Dissertations

Phytochemistry, a subset of Natural Products Chemistry, studies chemically derived products from natural substances. Advances in this field have important applications in medicinal research due to the distinctive and unique properties of natural compounds. All metabolites are produced from the metabolic cycle, which is a pathway that provides energy for the organism. These metabolic compounds vary greatly and are classified based on their function within the organism. Primary metabolites are abundant and contribute to organism growth, development, and maintenance of energy. Secondary metabolites are found in lesser quantity and correlate to natural defense mechanisms. For example, salicylic acid is a …

K-12 Teacher Perceptions Of Online Learning And Information Technology Support Post Covid-19 Pandemic, Michael Wayne Carraway Ii

Theses and Dissertations

This study examines K-12 teacher technology acceptance through their perceptions of the learning management system Google Classroom, in the aftermath of the COVID-19 pandemic. This correlational research study is conducted through a survey adapted from the Technology Acceptance Model, Information technology support analysis, and a functionality usability survey. This study examines the relationships between functionality, usability, IT support, perceived usefulness (PU), perceived ease of use (PEOU), attitudes towards use (ATU), behavioral intention to use (BI), and actual usage (AU). Structural equation modelling is conducted at the construct level in order to determine relationships between constructs. Additionally, this study explores assessment …

The Effect Of Transformational Leadership On Teacher Burnout: A Sequential Explanatory Mixed Methods Study, Jessica Grace Watson

Theses and Dissertations

The teaching field is a depleting workforce and more teachers are experiencing burnout, which is causing them to leave the profession (Marken & Agrawal, 2022; Nguyen et al., 2022). However, transformational leadership can improve job satisfaction, which can potentially reduce teacher burnout (Barnett et al., 2001; Erkutlu, 2008; Tian et al., 2021). The purpose of this study, grounded in Bass’ (1985) transformational leadership framework, was to examine the effect of transformational leadership on teacher burnout and to analyze the teachers’ perceptions of transformational leadership support. The study answered the following research questions: What is the relationship between transformational leadership and …

Teacher Perceptions Of A Literacy Intervention Implementation In Middle School: A Case Study, James E. Maye Jr.

Theses and Dissertations

The purpose of this qualitative case study was to explore the perspectives of teachers at Oakridge Middle School regarding the implementation of a literacy intervention and evaluate its impact on students’ literacy achievement. The study was guided by the social learning theory, which posits that a literacy intervention program would enhance students’ literacy skills. The study findings indicated that the program improved students’ reading and writing confidence and comprehension abilities. The successful implementation of the literacy intervention was facilitated by teachers’ collaboration and the use of data trackers, despite challenges, such as student buy-in and motivation issues. Technology-based programs, such …

Symmetry Analysis Of The Canonical Connection On Lie Groups:Co-Dimension Two Abelian Nilradical With Abelian And Non Abelian Complement, Nouf Alrubea Almutiben

Theses and Dissertations

We consider the symmetry algebra of the geodesic equations of the canonical
connection on a Lie groups. We mainly consider the solvable indecomposable four,
five and six-dimensional Lie algebras with co-dimension two abelian nilradical, that
have an abelian and not abelian complement. In this particular case, we have only
one algebra in dimension four namely; A4,12 , and three algebras in dimension five
namely; A5,33, A5,34, and A5,35 In dimension six, based on the list of Lie algebras in
Turkowski’s list, there are nineteen such algebras namely; A6,1- A6,19 that have an
abelian complement, and there are eight algebras that …

Efficient Connectivity Management And Path Planning For Iot And Uav Networks, Amirahmad Chapnevis

Theses and Dissertations

This dissertation explores how to better manage resources in mobile networks, especially for enhancing the performance of Unmanned Aerial Vehicles (UAV)-supported IoT networks. We explored ways to set up a flexible communication architecture that can handle large IoT deployments by making good use of mobile core network resources like bearers and data paths. We developed strategies that meet the needs of IoT networks and enhance network performance. We also developed and tested a system that combines traffic from several mobile devices that use the same user identity and network resources within the core mobile network. We used everyday smartphones, SIM …

Photoluminescence Of Beryllium-Related Defects In Gallium Nitride, Mykhailo Vorobiov, Mykhailo Vorobiov

Theses and Dissertations

This study explores the potential of beryllium (Be) as an alternative dopant to magnesium (Mg) for achieving higher hole concentrations in gallium nitride (GaN). Despite Mg prominence as an acceptor in optoelectronic and high-power devices, its deep acceptor level at 0.22 eV above the valence band limits its effectiveness. By examining Be, this research aims to pave the way to overcoming these limitations and extend the findings to aluminum nitride and aluminum gallium nitride (AlGaN) alloy. Key contributions of this work include. i)Identification of three Be-related luminescence bands in GaN through photoluminescence spectroscopy, improving the understanding needed for further material …

Shape Inverse Prediction Of Magnetic Field-Actuated Soft Robots By Neural Network Machine Learning, Lineth J. Perez Monsalve

Theses and Dissertations

Soft robotics has drawn tremendous interest in recent years because the compliance and motion of soft robotics enable biocompatibility and versatility for many applications, such as human-machine interaction, wearable and assistive devices, and health monitoring. This study introduces a novel predictive modeling approach using neural networks for shape control of magnetic soft robots. The robots are made of silicone materials embedded with hard magnetic particles, which respond to the external magnetic field provided by a ring-type of permanent magnet. These robots, free from physical connections to external devices, i.e., non-tethered actuation, hold significant potential for applications in healthcare, such as …

Bayesian Estimation Of Hierarchical Linear Models From Incomplete Data: Cluster-Level Non-Linear Effects And Small Sample Sizes, Dongho Shin

Theses and Dissertations

We consider Bayesian estimation of a hierarchical linear model (HLM) from small sample sizes. The continuous response Y and covariates C are partially observed and assumed missing at random. With C having linear effects, the HLM may be efficiently estimated by available methods. When C includes cluster-level covariates having interactive or other nonlinear effects given small sample sizes, however, maximum likelihood estimation is suboptimal, and existing Gibbs samplers are based on a Bayesian joint distribution compatible with the HLM, but impute missing values of C by a Metropolis algorithm via a proposal density having a constant variance while the target …