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Exploring Enacted Active Learning Practices In Postsecondary Chemistry Lecture And Laboratory Courses, Kendall M. Zammit
Exploring Enacted Active Learning Practices In Postsecondary Chemistry Lecture And Laboratory Courses, Kendall M. Zammit
USF Tampa Graduate Theses and Dissertations
The work in this thesis begins to explore the enacted active learning practices in postsecondary chemistry lecture and laboratory courses. Chapter 1 explores the level of inquiry in postsecondary laboratories. Chapter 2 explores instructional and assessment practices at two-year institutions.
Chemistry postsecondary laboratories offer a unique opportunity to engage students in inquiry-based instruction. Inquiry-based instruction was categorized by the asking faculty members at four-institutions about six characteristics of laboratory design: choosing a problem, background research, designing procedures, analyzing data, communicating results, and interpreting results. As students have the freedom to make decisions on more characteristics of inquiry learning, the closer …
Adaptive Multi-Agent Intelligence: A Dynamic Data Management System For Enhanced Data Quality And Reconciliation, Anthony Taeyang Vigil
Adaptive Multi-Agent Intelligence: A Dynamic Data Management System For Enhanced Data Quality And Reconciliation, Anthony Taeyang Vigil
USF Tampa Graduate Theses and Dissertations
Organizations struggle with data quality problems that cost them millions of dollars annually. Manual data cleanup and standardizing, also known as reconciliation, can take skilled analysts days to complete and can still contain human errors. This dissertation addresses this challenge by developing and validating the Origin Data Management System, which automates processes that traditionally require days of manual work. The system achieved up to 100% accuracy in standardizing vendor names and identifying CEO information across real-world test datasets from Jefferson County Public Schools, Forbes, and Fortune Magazines. Processing time dropped from days to minutes—a 96-fold improvement over manual methods. These …
Considering Context In Latent Models Of Externalizing: Measurement Invariance By Environmental And Systemic Disadvantage In System-Involved Youth, Kendall D. Smith
Considering Context In Latent Models Of Externalizing: Measurement Invariance By Environmental And Systemic Disadvantage In System-Involved Youth, Kendall D. Smith
USF Tampa Graduate Theses and Dissertations
Externalizing forms of psychopathology are said to result from a general liability towards impulsive and disruptive behaviors, including substance use, conduct problems, aggression, and antisocial behavior (Krueger et al., 2021). While the field often focuses on dispositional explanations of externalizing behaviors, there is a notable lack of attention to the contextual factors that contribute to these behaviors, beyond immediate environmental influences. This study uses Ecological Systems Theory (Bronfenbrenner, 2005) as a framework to address such gaps in the context of behavioral indicators of the latent externalizing (EXT) construct, an analysis with implications for understanding racial/ethnic and socioeconomic disparities. The present …
A Bioarchaeological Study Of The Individuals From The Városfalva Burial Mound In Transylvania, Romania (15th-19th Century), Vanessa C. Reeves
A Bioarchaeological Study Of The Individuals From The Városfalva Burial Mound In Transylvania, Romania (15th-19th Century), Vanessa C. Reeves
USF Tampa Graduate Theses and Dissertations
This study explores the lives and deaths of the Szekler people recovered from a burial mound in the Transylvanian village of Városfalva. The Transylvanian plateau is located in present day Romania, and is protected on the east and the south by the Carpathian Mountains. The Szekler people arrived in this area around 1000 CE, and were a nomadic group originating in the Asian Steppes region who later intermarried with various migratory groups as they moved across the Eurasian plains. The Szeklers eventually banded together with the proto-Hungarian Magyar peoples and settled in the Carpathian Basin, the easternmost frontier of the …
Reducing Data Requirements In Polymer Science: Deep Neural Networks For Predicting Surface Tension Of Copolymer Compatibilizers, Md Mushfiqul Islam
Reducing Data Requirements In Polymer Science: Deep Neural Networks For Predicting Surface Tension Of Copolymer Compatibilizers, Md Mushfiqul Islam
USF Tampa Graduate Theses and Dissertations
In polymer chemistry, compatibilization involves adding a substance often a block or graft copolymerto stabilize polymer blends that would otherwise not mix well, leading to rough structures and weak me- chanical properties. Compatibilizers improve miscibility and reduce interfacial tension, which is critical for applications such as mixed-waste polymer recycling. Sequence-controlled polymers offer unique potential by combining the tunable chemistry of synthetic polymers with the precise, function-driven design of biological macromolecules, but unlike proteins, they lack large, evolution-shaped datasets to guide discovery. This research develops a deep learning framework to predict the surface tension of sequence-controlled copolymer compatibilizers across varying concentrations. …
Development And Initial Validation Of An Instrument To Measure Teachers’ Socioscientific Issues Instruction Perceptions, Michael Edward Mitchell
Development And Initial Validation Of An Instrument To Measure Teachers’ Socioscientific Issues Instruction Perceptions, Michael Edward Mitchell
USF Tampa Graduate Theses and Dissertations
Little is known about how high school science teachers perceive Socioscientific Issues (SSI) on a broad scale, including what factors shape their views of a pedagogical shift to adopt SSI. To address this critical gap, I constructed the Teachers’ Socioscientific Issues (SSI) Perceptions Survey (TSPS), the first instrument specifically designed and initially validated to measure teacher perceptions of SSI integration. This study presents the development and validation of the TSPS, offering robust evidence for its reliability, fairness, and construct validity.
Survey development adhered to gold-standard psychometric protocols (Bandalos, 2018; Crocker & Algina, 1986; DeVellis, 2012; McCoach et al., 2013) and …
Saudi Early Childhood Teacher Educators’ And Preservice Teachers’ Perspectives Of Early Field Experiences, Amani M. Alodwani
Saudi Early Childhood Teacher Educators’ And Preservice Teachers’ Perspectives Of Early Field Experiences, Amani M. Alodwani
USF Tampa Graduate Theses and Dissertations
This qualitative descriptive study explores how teacher educators perceive the integration of field experiences within the curriculum and their perspectives on the preservice early childhood education (ECE) teachers they supervise. It also examines preservice teachers’ views regarding their field experiences and how these experiences contribute to their professional preparation. The Ministry of Education (MOE) emphasizes that teacher preparation programs should provide extended field experiences that connect theoretical coursework with practical application. Semi-structured interviews were conducted with three Saudi teacher educators and four preservice teachers from Kingdom University. Thematic analysis using inductive coding was employed to identify recurring themes and differences …
Sound Practices In Human Resources: A Critical Analysis Of How Ai Applicant Screening Tools Are Used With Deaf Individuals In The Hospitality And Tourism Sector, Sherry L. Gaynor
Sound Practices In Human Resources: A Critical Analysis Of How Ai Applicant Screening Tools Are Used With Deaf Individuals In The Hospitality And Tourism Sector, Sherry L. Gaynor
USF Tampa Graduate Theses and Dissertations
This study explores the intersection of Career and Workforce Education, Deaf Education, and artificial intelligence (AI) technologies used in hiring practices. The purpose of this research is to identify potential barriers to equitable employment for Deaf and Hard-of-Hearing (DHH) individuals and to propose effective methods for evaluating and assessing AI and machine learning applications utilized in recruitment and selection processes. Although AI is increasingly embedded in human resource management (HRM), there remains a significant lack of research addressing its use with special populations. In particular, no prior studies have examined how voice recognition software, facial analysis, psychometric testing, and virtual …
Statistical Challenges And Simulation Results For Pilot Clinical Trials, Weiliang Cen
Statistical Challenges And Simulation Results For Pilot Clinical Trials, Weiliang Cen
USF Tampa Graduate Theses and Dissertations
Background: The effect size estimated from a pilot trial is often an inaccurate reflection of the true effect size observed in a large trial, leading to either underestimation or overestimation. Published data suggest that effect sizes from large trials are typically smaller than those reported in their corresponding pilot trials. To address this discrepancy, conservative or discount adjustment methods are widely recommended to modify pilot trial effect sizes when calculating sample sizes, thereby maintaining adequate statistical power. This study aims to assess effect sizes from both pilot and large trials and to evaluate the performance of existing adjustment methods.
Methods: …
Spatio-Temporal Characterization Of Trace Metals Across The West Florida Shelf And During The Decline Of The North Atlantic Spring Bloom, Delfina Paola Navarro-Estrada
Spatio-Temporal Characterization Of Trace Metals Across The West Florida Shelf And During The Decline Of The North Atlantic Spring Bloom, Delfina Paola Navarro-Estrada
USF Tampa Graduate Theses and Dissertations
Phytoplankton in the marine environment require the trace metals manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), and cadmium (Cd) to catalyze cellular processes driving photosynthesis, including macronutrient (nitrogen, phosphorus, and carbon) acquisition, light harvesting, and protection from oxidative stress. The high biological demand for these elements, coupled with their low concentrations in the ocean, can limit primary production and shape community composition in marine ecosystems, highlighting the need to understand the drivers behind trace metal distributions and their interplay with phytoplankton growth across biogeochemical regimes. This dissertation characterizes the spatial and temporal distributions of dissolved …
Parameterizing Ion–Lipid Interactions From Local Clusters To Reproduce Experimental Bulk Properties Of Lipid Bilayers, W. Matthew Saunders
Parameterizing Ion–Lipid Interactions From Local Clusters To Reproduce Experimental Bulk Properties Of Lipid Bilayers, W. Matthew Saunders
USF Tampa Graduate Theses and Dissertations
Phospholipids are the main component of cell membranes, providing a delimiting boundary for cells from their environments or from their organelles from the cytosol. Thiscompartmentalization allows cells to maintain quite different solutions within their cells and organelles, including different mixtures dissolved ions. Consequently, these membranes are constantly flanked by complex mixtures of salts at varied concentrations. To study membrane structure, one cannot neglect the contribution of the salts in the local solution. Ions perturb bilayer structure via specific interaction with the phospholipids, primarily with the headgroups. Experimental studies of these systems are somewhat at odds — scattering experiments with different …
Exploring Teachers’ Perspectives On Digital Storytelling As A Tool In Saudi Kindergarten Classrooms: A Qualitative Multicase Study, Ouhuud Alahmdi
Exploring Teachers’ Perspectives On Digital Storytelling As A Tool In Saudi Kindergarten Classrooms: A Qualitative Multicase Study, Ouhuud Alahmdi
USF Tampa Graduate Theses and Dissertations
Saudi Arabia’s Vision 2030 emphasizes the importance of integrating digital technologies into early childhood education, with the goal of developing children’s skills for the 21st century from an early age and preparing them for the future. Digital storytelling is an effective and interactive multimodal strategy to enhance young children’s skills in the classroom. However, there is limited research examining how kindergarten teachers design and utilize digital storytelling in their classrooms. This qualitative multicase study aimed to explore how Saudi kindergarten teachers perceived and implemented digital storytelling as a tool to promote engagement and comprehension among young children. The study focused …
Thermal Properties Of Novel Materials, Wilarachchige D.C. Bhagya Gunatilleke
Thermal Properties Of Novel Materials, Wilarachchige D.C. Bhagya Gunatilleke
USF Tampa Graduate Theses and Dissertations
Thermal properties play an important role in various aspects of applications of technology startingfrom the materials property determinations to device performance improvements and their safety and stability. Measurements of the thermal properties of such materials of interest pose challenges due to the demands of these measurements for determination of intrinsic materials properties. The research included in this dissertation involved both synthesis of novel materials and their measurement of thermal properties. Solid-state materials synthesis involves various synthesis and processing techniques, while specific technological applications demand synthesis of defect-free single crystals. Such synthesis techniques were explored for the research included in this …
Mathematics And Growth Mindset: A Systematic Review And Meta-Analysis Of Interventions At The Post-Secondary Level, Sean E. Murphy
Mathematics And Growth Mindset: A Systematic Review And Meta-Analysis Of Interventions At The Post-Secondary Level, Sean E. Murphy
USF Tampa Graduate Theses and Dissertations
Growth mindset interventions have been implemented in academic settings for over three decades (C. S. Dweck et al., 1995a). One academic field where growth mindset may be most needed is mathematics, as it is not unusual for a student to claim, “I’m not a math person.” Notably, no meta-analysis of mindset interventions in post-secondary mathematics classrooms existed prior to the current study. To close this gap in the literature, the present study included a systematic review and meta-analysis, drawing on two search methods: Boolean and snowballing. The results from both methods were screened using inclusion/exclusion criteria. Snowballing search was hypothesized …
Middle School Counselors' Perceptions Of Meeting Career Counseling Needs Of Middle School Students, Mario Oscar Garcia
Middle School Counselors' Perceptions Of Meeting Career Counseling Needs Of Middle School Students, Mario Oscar Garcia
USF Tampa Graduate Theses and Dissertations
This dissertation examined middle school counselors' perceptions of their effectiveness in delivering career counseling to students. Middle school is a pivotal time for career exploration and planning, yet disparities in guidance persist, particularly for students not on a traditional college pathway. Guided by the American School Counselor Association (ASCA) National Model, this study employed a survey method. An online survey developed by the researcher assessed counselors' time allocation across academic, career, social-emotional, and duties unrelated to their essential school counseling roles. Additionally, the survey inquired about counselors’ perceived effectiveness in meeting the career needs of diverse student populations (advanced academic, …
Geographic Patterns Of Educational Achievement: A Methodological Case Study Of Regression Modeling Approaches, Leokadia Lipien
Geographic Patterns Of Educational Achievement: A Methodological Case Study Of Regression Modeling Approaches, Leokadia Lipien
USF Tampa Graduate Theses and Dissertations
This methodological case study introduces a novel approach to investigate the impact of student, teacher, and geographic factors on the academic achievement of virtual school students in Florida. Traditional linear regression models, and even multilevel models, often overlook spatial dependencies, which can lead to biased estimates and incomplete inferences. This research addresses this limitation by comparing a cross-classified multilevel model (CCMM) with a novel cross-classified spatial model (CCSM) that incorporates coefficients from geographically weighted regression (GWR). Utilizing secondary data from a statewide virtual school, including student demographics, teacher characteristics, and standardized test scores, along with U.S. Census Bureau data, the …
Breaking The Cycle: A Teacher And Mother’S Examination Of Multi-Tiered Systems Of Support, Jessica Hinton
Breaking The Cycle: A Teacher And Mother’S Examination Of Multi-Tiered Systems Of Support, Jessica Hinton
USF Tampa Graduate Theses and Dissertations
The 2004 reauthorization of the Individuals with Disabilities Education Act (IDEA) included Response to Intervention (RTI) as an option for determining eligibility for learning disabilities. However, there is no required structure to follow for RTI implementation. This lack of guidance leads to a lack of clarity in implementation at district and site levels. Many states use RTI as the primary indicator of whether a student needs special education services for a learning disability. RTI is a model for delivery of Multi-Tiered Systems of Support (MTSS). The terms RTI and MTSS are often used interchangeably. For clarity, I use MTSS-RTI to …
Improving Coral Restoration Outcomes Through Novel Molecular Applications, Matthew H. Gamache
Improving Coral Restoration Outcomes Through Novel Molecular Applications, Matthew H. Gamache
USF Tampa Graduate Theses and Dissertations
Coral reef ecosystems are declining globally from numerous stressors, including localized pollution, disease, and marine heatwaves induced by climate change. To preserve these ecosystems, it is critical to identify corals that can withstand stressors—primarily future marine heatwaves—and prioritize them for coral restoration efforts until these stressors are mitigated. Coral responses to thermal stress can be influenced by several partners, including mutualistic microalgae and a vast prokaryotic community. Here, I use advanced molecular techniques to examine which partners (coral host, algal symbiont, and microbial communities) are associated with coral health, how they contribute to holobiont physiology, and their potential to increase …
Advancing Power System Reliability And Security With Efficient And Resilient Graph Neural Network Frameworks, Seyed Hamed Haghshenas
Advancing Power System Reliability And Security With Efficient And Resilient Graph Neural Network Frameworks, Seyed Hamed Haghshenas
USF Tampa Graduate Theses and Dissertations
Enhancing the reliability and security of smart grids is critical for ensuring their seamless operation and resilience against disruptions. The increasing integration of distributed energy resources, advanced measurement devices, and cyber-physical elements introduces both opportunities and challenges for grid management. While these advancements provide enhanced visibility and operational control, they also expose the grid to vulnerabilities from cyber-physical stresses, such as cyber-attacks, equipment failures, and fluctuating power demands. Traditional methods for reliability assessment and threat detection often rely on model-based approaches that struggle to adapt to the complexity and dynamic nature of modern smart grids. These limitations necessitate novel data-driven …
The Impact Of Storyline Curriculum On Student Engagement And Scientific Literacy: A Phenomenological Study Of High School Biology Teacher’S Experiences, Nicole Holman
USF Tampa Graduate Theses and Dissertations
This study looks at how using a storyline curriculum affects student engagement and scientific literacy in high school biology classes. It focuses on constructivist learning theory and explores the experiences of thirteen biology teachers who moved from traditional, teachercentered methods to student-centered, inquiry-based approaches. The teachers noticed a significant change in classroom participation; students took more ownership of their learning and showed increased interest and curiosity. As students engaged more in building their understanding, their critical thinking skills and ability to analyze and assess scientific data improved.
The results reveal that storyline curricula do more than help students grasp biology; …
Mosquito Classification And Explainability From Image Data Via Deep Learning Techniques, Farhat Binte Azam
Mosquito Classification And Explainability From Image Data Via Deep Learning Techniques, Farhat Binte Azam
USF Tampa Graduate Theses and Dissertations
According to the World Health Organization (WHO), mosquitoes are the deadliest animals on Earth, responsible for more human deaths annually than any other species. Mosquito-borne illnesses continue to pose severe risks to global health. In 2015 alone, there were an estimated 214 million malaria cases worldwide. Similarly, a 2016 report from the Centers for Disease Control and Prevention (CDC) revealed that Puerto Rico’s Department of Health received over 62,500 suspected cases of Zika, with 29,345 confirmed positive cases. In 2019, Southeast Asia experienced its worst dengue outbreak in recorded history. Of the approximately 4,500 mosquito species distributed across 34 genera, …
English, Lamia Saad Alnomei
English, Lamia Saad Alnomei
USF Tampa Graduate Theses and Dissertations
It is crucial to integrate technologies into childhood education and teaching digital citizenship, but there are certain barriers to this integration in Saudi Arabia. Elicitation interviews were conducted in the context of this study with six participants, including kindergarten teachers and school leaders. They showed different levels of understanding the concept of digital literacy and citizenship and various levels of valuing technologies as tools for education. For instance, some expressed the need for more awareness and training, and other exhibited a deep understanding of digital citizenship. The study used Rogoff’s sociocultural theory, explored the influence of culture and parents on …
Dissecting The Intrinsic And Extrinsic Regulators Of Prostate Cancer Dormancy In The Bone Microenvironment, Mostafa M. Nasr
Dissecting The Intrinsic And Extrinsic Regulators Of Prostate Cancer Dormancy In The Bone Microenvironment, Mostafa M. Nasr
USF Tampa Graduate Theses and Dissertations
Metastatic disease is the primary driver of cancer-related mortality. In prostate cancer (PCa), patient survival decreases dramatically once the disease spreads to distant organs, with over 80% of metastases occurring in the bone. This dissemination is often followed by a clinically silent period of tumor dormancy that can last for years, creating a critical reservoir of cells poised for lethal relapse. A significant barrier to understanding and targeting this dormant phase has been the lack of robust experimental models. This thesis first addresses this challenge by establishing a novel stress-induced model of PCa dormancy, validated across multiple murine and human …
Graphene Screen-Printed Electrode For Wound-Related Biosensing, Chanyapat Sriviroch
Graphene Screen-Printed Electrode For Wound-Related Biosensing, Chanyapat Sriviroch
USF Tampa Graduate Theses and Dissertations
Monitoring wound healing is critical for improving patient outcomes, especially for chronic wounds, which often have complications like delayed healing and infections. Current methods for monitoring wound healing are invasive and costly. Also, these methods have a limited ability to provide real-time, continuous data. This study seeks to explore a graphene screen-printed electrode (SPE) electrochemical biosensor that is non-invasive and efficient to constantly monitor wound healing in real time. This research study focuses specifically on the electrochemical detection of the Human Neutrophil Elastase (HNE) and Secretory Leukocyte Protease Inhibitor (SLPI), which is one of the most abundant neutral proteinases in …
Mapping Seagrass Extent Using Sentinel-2 Satellite Imagery: A Case Study In Salt River Bay, United States Virgin Islands, Chelsea O. Bryant
Mapping Seagrass Extent Using Sentinel-2 Satellite Imagery: A Case Study In Salt River Bay, United States Virgin Islands, Chelsea O. Bryant
USF Tampa Graduate Theses and Dissertations
Seagrass beds provide important services in many coastal ecosystems. They provide habitat and food for a wide range of marine species, stabilize sediments, and prevent coastal erosion. These services support local fisheries and tourism-driven economies. Yet, seagrass ecosystems are threatened by changes in water quality, sedimentation, and other stressors. This study investigated the interannual variability in seagrass extent in Salt River Bay, United States Virgin Islands (USVI), from 2018 to 2024. The goals were to better understand temporal dynamics in seagrass extent and evaluate the influence of turbidity as a driver of seagrass health and distribution. The overarching research question …
What Controls Ice Shelf Isotopic Variability? Local And Global Processes Preserved Within Ice Cores Across The Larsen C Ice Shelf, Antarctica, Orion Laurene Schomber
What Controls Ice Shelf Isotopic Variability? Local And Global Processes Preserved Within Ice Cores Across The Larsen C Ice Shelf, Antarctica, Orion Laurene Schomber
USF Tampa Graduate Theses and Dissertations
The Antarctic Peninsula (AP) is one of the foremost indicators of anthropogenic global warming as it interacts with both atmospheric and oceanic processes. Although ice shelves across the AP have undergone increased rates of disintegration over the last 30 years, limited in-situ measurements have been investigated. Assessment of three short (~30 m) firn cores (J108, J208, and J409) across the Larsen C ice shelf (LCIS) provide insight into local, regional, and global processes. Average core densities and isotopic variability (δ¹⁸O and δ²H) fall within expected ranges for all cores, indicating signal preservation through firn. However, isotopic maxima in J108 and …
Identifying B-Vitamin Requirements And Phycosphere Interactions For The Hab-Forming Dinoflagellate, Pyrodinium Bahamense Var. Bahamense, Lydia A. Ruggles
Identifying B-Vitamin Requirements And Phycosphere Interactions For The Hab-Forming Dinoflagellate, Pyrodinium Bahamense Var. Bahamense, Lydia A. Ruggles
USF Tampa Graduate Theses and Dissertations
Harmful Algal Blooms (HAB) negatively affect economies, ecosystems, and public health through mass proliferation and toxin production. The HAB species, Pyrodinium bahamense var. bahamense, is a saxitoxin-producing dinoflagellate found in tropical and subtropical estuarine waters globally. In two Florida estuaries, Old Tampa Bay and the Indian River Lagoon, P. bahamense is a recurrent HAB species, and the exact timing and intensity of bloom peaks in these estuaries vary interannually. Factors that are suspected to contribute to blooms include temperature, residence times, nutrients, and salinity. However, many HAB dinoflagellates require vitamin B12 for growth and bloom development. Thus, B12 may influence …
Myfoodrx: A Personalized Food-As-Medicine Mhealth Application For Food-Insecure Adults With Chronic Conditions, Jay Hiteshkumar Jariwala
Myfoodrx: A Personalized Food-As-Medicine Mhealth Application For Food-Insecure Adults With Chronic Conditions, Jay Hiteshkumar Jariwala
USF Tampa Graduate Theses and Dissertations
Food insecurity (FI) remains a persistent public health challenge in the United States, disproportionately affecting underserved populations and contributing to higher rates of chronic conditions such as diabetes, hypertension, and obesity. Traditional Food-as-Medicine programs have emerged as promising interventions, but often follow a generalized, non-personalized approach that limits long-term effectiveness, especially among diverse, high-risk communities. This thesis presents MyFoodRx, a personalized mobile health (mHealth) application designed to address the intersection of food insecurity and chronic disease through tailored nutritional guidance, real-time pantry integration, and adaptive educational content.
Developed through a User-Centered Design (UCD) process, MyFoodRx leverages a modular client–server architecture, …
The Orange Glow In The Sunshine State: Three Visions Of Plato In Florida (1970-1990), Ryan Mcgahan
The Orange Glow In The Sunshine State: Three Visions Of Plato In Florida (1970-1990), Ryan Mcgahan
USF Tampa Graduate Theses and Dissertations
The PLATO network, a collection of mainframe computers, terminals, and educational software, has received an increasing amount of scholarly attention in the last decade as a social precursor to the modern internet. Existing histories have neglected to investigate the ways in which PLATO and its related business enterprise worked to accelerate the shift in university governance away from classical liberal ideas centering the public good and towards a more profit-centered neoliberal rationality. By tracing the rise of PLATO in Florida universities, this paper argues that PLATO aided and was aided by the shifting priorities of American universities in the 1970s …
Barriers To Machine Learning Adoption In Regulated Electric Utilities, Donald R. Shiflet Jr.
Barriers To Machine Learning Adoption In Regulated Electric Utilities, Donald R. Shiflet Jr.
USF Tampa Graduate Theses and Dissertations
Machine learning (ML) technologies have the potential to revolutionize regulated electric utilities by improving operational efficiency, enabling predictive maintenance, and optimizing energy management. Despite these advantages, the adoption of ML in this sector lags other industries due to technical, organizational, and regulatory barriers. This research, grounded in the Technology-Organization-Environment (TOE) framework, explores these barriers to uncover actionable solutions for integration. The study identifies key challenges, including explainability, cybersecurity, workforce resistance, and regulatory ambiguity to ML adoption in electric utilities. Utilizing an exploratory qualitative methodology, this approach integrates insights from the literature and industry interviews to rank barriers by frequency, severity, …