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How Parents Perceive School Readiness, Jody Silvester Jan 2023

How Parents Perceive School Readiness, Jody Silvester

Electronic Theses and Dissertations, 2020-2023

The purpose of this study was to explore parents' perceptions of children entering kindergarten and their understanding of school readiness. In this collective case study, drawing on parent interviews and artifact sampling and guided by discourse analysis (Gee, 2015), I employed Saldaña's (2021) cycle coding methods to explore the themes of what parents perceive and co-construct as 'school readiness'. Data collected for this study includes video recorded interviews of four participants as well as artifacts of their child(ren)'s classroom assessments, parent-teacher conference forms and packets, and a checklist shared by the parents. The findings of the study showed parents' perception …

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Leveraging Signal Transfer Characteristics And Parasitics Of Spintronic Circuits For Area And Energy-Optimized Hybrid Digital And Analog Arithmetic, Adrian Tatulian Jan 2023

Leveraging Signal Transfer Characteristics And Parasitics Of Spintronic Circuits For Area And Energy-Optimized Hybrid Digital And Analog Arithmetic, Adrian Tatulian

Electronic Theses and Dissertations, 2020-2023

While Internet of Things (IoT) sensors offer numerous benefits in diverse applications, they are limited by stringent constraints in energy, processing area and memory. These constraints are especially challenging within applications such as Compressive Sensing (CS) and Machine Learning (ML) via Deep Neural Networks (DNNs), which require dot product computations on large data sets. A solution to these challenges has been offered by the development of crossbar array architectures, enabled by recent advances in spintronic devices such as Magnetic Tunnel Junctions (MTJs). Crossbar arrays offer a compact, low-energy and in-memory approach to dot product computation in the analog domain by …

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Determining The Influence Of Kids Building For Kids Workshops On Attitudes And Beliefs Of General Education Middle School Teachers Toward Students With Disabilities, Jennifer Tucker Jan 2023

Determining The Influence Of Kids Building For Kids Workshops On Attitudes And Beliefs Of General Education Middle School Teachers Toward Students With Disabilities, Jennifer Tucker

Electronic Theses and Dissertations, 2020-2023

Children with disabilities experience barriers to meaningful engagement in science, technology, mathematics, and engineering (STEM) learning activities and course options. While inclusion is widely professed, general education teachers report being uncomfortable in adapting coursework or including children with disabilities. However, informal professional development opportunities could potentially impact general education teachers' attitudes and dispositions towards including children with disabilities. The UCF Go Baby Go Kids Building for Kids workshops offers a one-time informal professional development experience that incorporates STEM content along with concepts of disability awareness and social justice. Little to no research exists on the impact of this type of …

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An Exploration Of K-8 Classroom-Based Mathematics Teacher Leader Development, Treshonda Rutledge Jan 2023

An Exploration Of K-8 Classroom-Based Mathematics Teacher Leader Development, Treshonda Rutledge

Electronic Theses and Dissertations, 2020-2023

This study investigated classroom-based mathematics teacher leader (CBMTL) development through analysis of interview and focus group transcripts, results from a Mathematics Teacher Leadership Experiences survey, application materials, and an evaluation report for an equity-focused, research-to-practice doctoral program centered on developing CBMTLs. A multiple case study was conducted to interpret and understand how K-8 mathematics teachers identified and described ways in which their participation in the program developed them as CBMTLs. Findings suggest that mathematics teachers develop as mathematics teacher leaders in stages and highlight the effectiveness of the research-to-practice partnership model as an impactful pathway for developing CBMTLs. Themes from …

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Biomarker Identification For Breast Cancer Types Using Feature Selection And Explainable Ai Methods, David E. La Rosa Giraud Jan 2023

Biomarker Identification For Breast Cancer Types Using Feature Selection And Explainable Ai Methods, David E. La Rosa Giraud

Honors Undergraduate Theses

This paper investigates the impact the LASSO, mRMR, SHAP, and Reinforcement Feature Selection techniques on random forest models for the breast cancer subtypes markers ER, HER2, PR, and TN as well as identifying a small subset of biomarkers that could potentially cause the disease and explain them using explainable AI techniques. This is important because in areas such as healthcare understanding why the model makes a specific decision is important it is a diagnostic of an individual which requires reliable AI. Another contribution is using feature selection methods to identify a small subset of biomarkers capable of predicting if a …

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Enabling Large-Scale Transportation Electrification For Shared And Connected Mobility Systems, Md Rakibul Alam Jan 2023

Enabling Large-Scale Transportation Electrification For Shared And Connected Mobility Systems, Md Rakibul Alam

Graduate Thesis and Dissertation 2023-2024

Owing to advancements in technology, substantial investments within the automotive industry, and the formulation of supportive state policies, the future landscape of the transportation sector is poised to witness a shift from traditional internal combustion engine vehicles (ICEVs) to electric vehicles (EVs). While EVs have made inroads in the market, they still face significant hurdles in the form of range anxiety and prolonged charging durations, inhibiting their widespread adoption. To tackle these challenges, a comprehensive approach to smart transportation electrification is proposed, emphasizing the pivotal roles of infrastructure development, particularly in the allocation of charging stations, and strategic operational decisions, …

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Optimizing Biomechanical Models: Estimation Of Muscle Tendon Parameters And Ankle Foot Orthosis Stiffness, Sepehr Ramezani Jan 2023

Optimizing Biomechanical Models: Estimation Of Muscle Tendon Parameters And Ankle Foot Orthosis Stiffness, Sepehr Ramezani

Electronic Theses and Dissertations, 2020-2023

The complexity of the human musculoskeletal system presents challenges in accurately identifying its characteristics, particularly due to the presence of redundant actuators on a single joint. Non-invasive measures are necessary to overcome these challenges. Optimization algorithms have emerged as a crucial tool to advance subject-specific musculoskeletal modeling allows a more realistic representation of biomechanical behaviors, enhancing our understanding of human movement and enabling better clinical decision-making. Furthermore, optimization algorithms play a vital role in customizing rehabilitation and assistive devices, such as orthoses and prostheses. The current ankle-foot orthosis (AFO) stiffness measurement methods require bulky, complex designs, and often permanent modification …

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Material Appearance Modeling For Physically Based Rendering, Alexis Benamira Jan 2023

Material Appearance Modeling For Physically Based Rendering, Alexis Benamira

Graduate Thesis and Dissertation 2023-2024

Photorealistic rendering focuses on creating images with a computer that imitates pictures of reallife scenes as faithfully as possible. To achieve this, rendering algorithms require incorporating accurate modeling of how light interacts with various types of matter. For most objects, this model needs to account for the scattering of the light rays. However, this model falls short when rendering objects of sizes smaller or comparable to the wavelength of the incident light. In this case, new phenomena such as diffraction or interference are observed and have been characterized in optics. Digital rendering of those phenomena involve different light representations than …

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Modeling Behavior And Vaccine Hesitancy For Predicting Daily Vaccination Inoculations Using Trends, Case, Death, And Twitter Sentiment Data, Talal Daghriri Jan 2023

Modeling Behavior And Vaccine Hesitancy For Predicting Daily Vaccination Inoculations Using Trends, Case, Death, And Twitter Sentiment Data, Talal Daghriri

Electronic Theses and Dissertations, 2020-2023

Over the past 100 years, epidemiological models have evolved to incorporate greater facets of the process. With the advent of social networking, massive computational power, population sentiment analysis can now be added to the epidemiological modeling process. Sentiment analysis is greater understanding of the fears, uncertainties, motivation, and trends of the public with respect to vaccination and associated events. Lack of public confidence in the efficacy of models, safety of vaccines, and appropriateness of policies confounds vaccine inoculation prediction. Sentiment analysis of social media is a seminal technique that accesses shared users' contents and tweets on the Twitter platform for …

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Machine Learning Algorithms For Molecular Signature Identification With High-Throughput Genome Sequencing Data, Jiao Sun Jan 2023

Machine Learning Algorithms For Molecular Signature Identification With High-Throughput Genome Sequencing Data, Jiao Sun

Electronic Theses and Dissertations, 2020-2023

Powered by the high-throughput genomic technologies, the RNA sequencing (RNA-Seq) method is capable of measuring transcriptome-wide mRNA expressions and molecular activities in cells. Elucidation of gene expressions at the isoform resolution enables the detection of better molecular signatures for phenotype prediction, and the identified biomarkers may provide insights into the functional consequences of disease. This dissertation research focuses on developing advanced machine learning algorithms for mining large-scale RNA-Seq data in cancer transcriptome analysis. A platform-integrated model for transcript quantification (IntMTQ) is developed to improve the performance of RNA-Seq on isoform expression estimation. IntMTQ provides more precise RNA-Seq-based isoform quantification, and …

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Heat Release And Flame Scale Effects On Turbulence Dynamics In Confined Premixed Flows, Max Fortin Jan 2023

Heat Release And Flame Scale Effects On Turbulence Dynamics In Confined Premixed Flows, Max Fortin

Electronic Theses and Dissertations, 2020-2023

As industry transitions to a net-zero carbon future, turbulent premixed combustion will remain an integral process for power generating gas turbines and are also desired for aviation engines due to their ability to minimize pollutant emissions. However, accurately predicting the behavior of a turbulent reacting flow field remains a challenge. To better understand the dynamics of premixed reacting flows, this study experimentally investigates the evolution of turbulence in a high-speed bluff-body combustor. The combustor is operated across a range of equivalence ratios from 0.7-1 to quantify the role of heat release and flame scales on the evolution of turbulence as …

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A Survey Of Current School Orchestra Directors' Incorporation Of Alternative Styles In The 6-12 String Curriculum, Haley Fye Jan 2023

A Survey Of Current School Orchestra Directors' Incorporation Of Alternative Styles In The 6-12 String Curriculum, Haley Fye

Electronic Theses and Dissertations, 2020-2023

This study collected a representative sample of current grade 6-12 school orchestra directors' incorporation of alternative styles in the curriculum. It examined directors' repertoire selection process and their potential influence on student engagement, motivation, and retention, with a specific interest in alternative styles. Alternative styles in string education that are included in this study are contemporary pop, folk, bluegrass, rock, Irish fiddle, jazz, and world music. Participants were recruited in the study through two private Facebook groups for school orchestra directors (School Orchestra and String Teachers, and Orchestra Teachers) and two communities on Reddit pertaining to music teaching (r/MusicEd and …

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Propaganda Of Car Ecotourism In Glacier National Park, Hanna Y. Mohammed Jan 2023

Propaganda Of Car Ecotourism In Glacier National Park, Hanna Y. Mohammed

Honors Undergraduate Theses

This paper discusses the promotion of car ecotourism and its impact on Glacier National Park. Coinciding with the creation of the park's flagship Going-to-the-Sun Road from 1921 to 1932, both the state and the private sector presented the image of the newly commodified automobile as a vehicle to explore nature with. Historically, national parks have served the interests of the middle and upper classes, by suppressing marginalized communities, primarily through forced relocation in order to clear the lands for creation of the parks. The public's conception of the “wilderness” drastically changed during the time the car was commodified, as nature …

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Time-Specific Safety Performance Functions For Different Advanced Traffic Management Strategies, Jingwan Fu Jan 2023

Time-Specific Safety Performance Functions For Different Advanced Traffic Management Strategies, Jingwan Fu

Electronic Theses and Dissertations, 2020-2023

Time-specific Safety Performance Functions (SPFs) were proposed to achieve accurate and dynamic crash frequency predictions and bridge the gap between annual crash frequency prediction and real-time crash likelihood prediction. This research proposed time-specific SPFs considering the temporal variation in crashes and traffic characteristics. Firstly, the developed time-specific SPFs that include different ATM strategies (i.e., HOV, merge, diverge and reversible lanes segments) were investigated in this study. The results indicate that the traffic turbulence during specific hours would relate to crash occurrence. Further, the variables that represent the speed and occupancy differences between the HOV lanes/reversible lanes and general-purpose lanes were …

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Flow Theory In The Actor's Process: Can The Pursuit Of Optimal Experience Alleviate Anxiety?, Kimberly (Kimber) King Jan 2023

Flow Theory In The Actor's Process: Can The Pursuit Of Optimal Experience Alleviate Anxiety?, Kimberly (Kimber) King

Electronic Theses and Dissertations, 2020-2023

Using techniques from acting scholars and practitioners, this practice as research study seeks to lesson anxiety in actors by measuring the actor's preparation, rehearsal and performance process against each of Mihaly Csikszentmihalyi's conditions of flow. Csikszentmihalyi's flow theory describes flow as an "optimal experience" in which a person is so invested in their goals, there is "no threat for the self to defend against" (M. Csikszentmihalyi 76). His research identified conditions that when present, can induce a state of flow. However, actors can be plagued by negative thoughts and self-consciousness. While a certain amount of anxiety is expected and normal, …

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Creative Collaborations: An Arts Integrated Educational Business, Michele Perkins Jan 2023

Creative Collaborations: An Arts Integrated Educational Business, Michele Perkins

Electronic Theses and Dissertations, 2020-2023

One of the main reasons I have been attracted to the world of theatre is its versatility. Theatre incorporates many other disciplines: Science, Mathematics, History, Language, Philosophy, and Psychology to name a few. I have always had daydreams about running a school program that utilizes a play as the unifying force behind the research and application of traditional academic subject. When I first started as an English teacher, I created many projects that incorporated other disciplines, such as creative writing, acting, and music. When I began teaching theatre, I began to focus solely on skills that applied to theatre. I …

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Automated Machine Learning: Intellient Binning Data Preparation And Regularized Regression Classfier, Jianbin Zhu Jan 2023

Automated Machine Learning: Intellient Binning Data Preparation And Regularized Regression Classfier, Jianbin Zhu

Electronic Theses and Dissertations, 2020-2023

Automated machine learning (AutoML) has become a new trend which is the process of automating the complete pipeline from the raw dataset to the development of machine learning model. It not only can relief data scientists' works but also allows non-experts to finish the jobs without solid knowledge and understanding of statistical inference and machine learning. One limitation of AutoML framework is the data quality differs significantly batch by batch. Consequently, fitted model quality for some batches of data can be very poor due to distribution shift for some numerical predictors. In this dissertation, we develop an intelligent binning to …

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Compact And High Optical Efficiency Near-Eye Displays With Liquid Crystal Flat Optics, Junyu Zou Jan 2023

Compact And High Optical Efficiency Near-Eye Displays With Liquid Crystal Flat Optics, Junyu Zou

Electronic Theses and Dissertations, 2020-2023

Since the concepts of augmented reality (AR) and virtual reality (VR) were introduced, they have attracted people's attention worldwide, both in the industry and research areas. As the most promising hardware architecture that can bring AR/VR into daily life, near eye displays (NEDs) have been studied and investigated heavily over the past half-century, especially the concept of "Metaverse" introduced by some top companies in recent years. However, the form factor and optical efficiency are two major bottlenecks for the current NEDs before they can become the major platform. Liquid crystal (LC) flat optics have several advantages, including compact, high diffraction …

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Exploring English As A Foreign Language (Efl) Saudi Arabian Teachers' Perceptions Vis-A-Vis The English Education Context In Primary And Secondary Schools, Mona Abdullah A. Al Mogeerah Jan 2023

Exploring English As A Foreign Language (Efl) Saudi Arabian Teachers' Perceptions Vis-A-Vis The English Education Context In Primary And Secondary Schools, Mona Abdullah A. Al Mogeerah

Electronic Theses and Dissertations, 2020-2023

The education system in the Kingdom of Saudi Arabia is given a great deal of attention by the government as it is keen to provide an educational system that caters to teacher and student needs. Because English has the potential to provide access to resources that may facilitate advancement in science and technology, it is difficult to deny or underestimate the importance of the English language in Saudi Arabia. Despite the history of EFL teaching and resources allocated to the teaching of English in Arabia, the quality of Saudi students' English language skills has raised many concerns. Saudi students currently …

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Deep Learning Approaches For Automatic Colorization, Super-Resolution, And Representation Of Volumetric Data, Sudarshan Devkota Jan 2023

Deep Learning Approaches For Automatic Colorization, Super-Resolution, And Representation Of Volumetric Data, Sudarshan Devkota

Graduate Thesis and Dissertation 2023-2024

This dissertation includes a collection of studies that aim to improve the way we represent and visualize volume data. The advancement of medical imaging has revolutionized healthcare, providing crucial anatomical insights for accurate diagnosis and treatment planning. Our first study introduces an innovative technique to enhance the utility of medical images, transitioning from monochromatic scans to vivid 3D representations. It presents a framework for reference-based automatic color transfer, establishing deep semantic correspondences between a colored reference image and grayscale medical scans. This methodology extends to volumetric rendering, eliminating the need for manual intervention in parameter tuning. Next, it delves into …

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Technology In The Classroom: The Features Language Teachers Should Consider, Sophie Cuocci, Padideh Fattahi Marnani Dec 2022

Technology In The Classroom: The Features Language Teachers Should Consider, Sophie Cuocci, Padideh Fattahi Marnani

Journal of English Learner Education

The fast development of technology and the new generation of highly computer literate students led to consider the integration of technology in school as essential. Throughout the last two decades, research has identified multiple factors leading to the successful and unsuccessful integration of technology in the classroom. Educators must consider these factors when deciding on which technology tools to use and how to integrate them to their lessons. Simultaneously, the increasing number of English learners in the United States calls for the identification of teaching strategies that will best support their needs. Many language teachers now rely on teaching techniques …

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Human-Machine Communication: Complete Volume 5. Gender And Human-Machine Communication Dec 2022

Human-Machine Communication: Complete Volume 5. Gender And Human-Machine Communication

Human-Machine Communication

This is the complete volume of HMC Volume 5

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Do People Perceive Alexa As Gendered? A Cross-Cultural Study Of People’S Perceptions, Expectations, And Desires Of Alexa, Leopoldina Fortunati, Autumn P. Edwards, Anna Maria Manganelli, Chad Edwards, Federico De Luca Dec 2022

Do People Perceive Alexa As Gendered? A Cross-Cultural Study Of People’S Perceptions, Expectations, And Desires Of Alexa, Leopoldina Fortunati, Autumn P. Edwards, Anna Maria Manganelli, Chad Edwards, Federico De Luca

Human-Machine Communication

Mainly, the scholarly debate on Alexa has focused on sexist/anti-woman gender representations in the everyday life of many families, on a cluster of themes such as privacy, insecurity, and trust, and on the world of education and health. This paper takes another stance and explores via online survey methodology how university student respondents in two countries (the United States, n = 333; and Italy, n = 322) perceive Alexa’s image and gender, what they expect from this voice-based assistant, and how they would like Alexa to be. Results of a free association exercise showed that Alexa’s image was scarcely embodied …

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Gender And Human-Machine Communication: Where Are We?, Leopoldina Fortunati, Autumn P. Edwards Dec 2022

Gender And Human-Machine Communication: Where Are We?, Leopoldina Fortunati, Autumn P. Edwards

Human-Machine Communication

In this introduction to the fifth volume of the journal Human-Machine Communication, we present and discuss the five articles focusing on gender and human-machine communication. In this essay, we will analyze the theme of gender, including how this notion has historically and politically been set up, and for what reasons. We will start by considering gender in in-person communication, then we will progress to consider what happens to gender when it is mediated by the most important ICTs that preceded HMC: the telephone, mobile phone, and computer-mediated communication (CMC). We outline the historical framework necessary to analyze the last section …

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Low-Resource Machine Learning Techniques For The Analysis Of Online Social Media Textual Data, Toktam Amanzadeh Oghaz Dec 2022

Low-Resource Machine Learning Techniques For The Analysis Of Online Social Media Textual Data, Toktam Amanzadeh Oghaz

Electronic Theses and Dissertations, 2020-2023

Low-resource and label-efficient machine learning methods can be described as the family of statistical and machine learning techniques that can achieve high performance without needing a substantial amount of labeled data. These methods include both unsupervised learning techniques, such as LDA, and supervised methods, such as active learning, each providing different benefits. Thus, this dissertation is devoted to the design and analysis of unsupervised and supervised techniques to provide solutions for the following problems: Unsupervised narrative summary extraction for social media content, Social media text classification with Active Learning (AL), Investigating restrictions and benefits of using Curriculum Learning (CL) for …

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Data-Driven Power System Stability Analysis And Control, Jian Xie Dec 2022

Data-Driven Power System Stability Analysis And Control, Jian Xie

Electronic Theses and Dissertations, 2020-2023

In recent years, with the expansion of power system size, the increase of interconnection and the use of large-scale renewable energy, power system stability and safe operations have become more prominent, causing challenges to the normal operation of power grid. Traditional analysis rely on detailed models of the system. But for real power systems, the operating state of the system is variable, and the model-based analysis methods may not accurately reflect the real operating state of the system. Therefore, this dissertation is focused on data-driven stability analysis and control. First, a method for locating the oscillation source of multi-machine systems …

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A Transdisciplinary Emergent Approach For Systems And Interventions (Easi), Chaithanya Renduchintala Dec 2022

A Transdisciplinary Emergent Approach For Systems And Interventions (Easi), Chaithanya Renduchintala

Electronic Theses and Dissertations, 2020-2023

In modeling human behavior and social structures several factors can emerge over time this can be attributed to the availability of new data, increased complexity, changes to the organizational structure, interventions, introduction of innovative technology or services and due to improved knowledge and treatments. We hypothesize a new class of emergent decision support systems that continually evolve to account for this "Causal Drift". In this work, we illustrate the application of the Emergent Approach to Systems and Intervention (EASI™) methodology with the example of Community Intervention Activity Model (CIAM) to reduce the rate of diabetic hospitalization at the local/ county …

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Modeling The Effects Of Diversity And Corporations On Participation Dynamics In Floss Ecosystems, Olivia Newton Dec 2022

Modeling The Effects Of Diversity And Corporations On Participation Dynamics In Floss Ecosystems, Olivia Newton

Electronic Theses and Dissertations, 2020-2023

A multitude of societal issues associated with the development of technology have emerged over the years including, but not limited to: insufficient personnel for maintenance; a lack of accessibility; the spread of harmful tools; and bias and discrimination against marginalized groups. I propose that a systems perspective is necessary to identify potential leverage points in technology production systems to influence them towards increased social good and evaluate their effectiveness for intervention. Toward this end, I conducted a mixed-methods study of a widely-adopted approach in tech production, free/libre and open source software (FLOSS) development. A survey was distributed to elicit responses …

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Torward Real-World Cross-View Image Geo-Localization, Sijie Zhu Dec 2022

Torward Real-World Cross-View Image Geo-Localization, Sijie Zhu

Electronic Theses and Dissertations, 2020-2023

Cross-view image geo-localization aims to determine the locations of street-view query images by searching in a GPS-tagged reference image database from aerial view. One fundamental challenge is the dramatic view-point/domain difference between the street-view query images and aerial-view reference images. Recent works have made great progress on bridging the domain gap with advanced deep learning techniques and geometric prior knowledge, i.e. the query is aligned at the center of one aerial-view reference image (spatial alignment) and the orientation relationship between the two views is known (orientation alignment). However, such prior knowledge of the geometry correspondence of the two views is …

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High Voltage Aqueous Electrolyte Based Structural Supercapacitors For Electric Vehicles, Deepak Pandey Dec 2022

High Voltage Aqueous Electrolyte Based Structural Supercapacitors For Electric Vehicles, Deepak Pandey

Electronic Theses and Dissertations, 2020-2023

The current electric vehicles (EVs) face many challenges like limited charge capacity, low miles/charge, and long charging times. Herein, these issues are addressed by developing "energized composite," which is a multifunctional supercapacitor-based energy-storing carbon fiber reinforced polymer composite that can store supplemental electric energy and function as the body shell of EV's. This is achieved by developing a unique design, vertically aligning graphene sheets on carbon fiber electrodes and depositing metal oxides to obtain high energy density electrodes. A high-strength multilayer composite is fabricated using an alternate layer pattern configuration of epoxy and polyacrylamide gel electrolyte. The composite so developed …

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