Digital Commons Network^™

Benchmarking And Advancing Heterogeneous Data Reasoning With Large Language Models, Yebowen Hu

Graduate Studies Theses and Dissertations 2026

Large language models (LLMs) increasingly face complex real-world tasks requiring complex reasoning over heterogeneous inputs, including text, numbers, and structured data. This dissertation first investigates the capability boundaries of LLMs under such scenarios. Through the MeetingBank and SportsMetrics benchmarks, we show that while LLMs exhibit linguistic fluency, they struggle with factual accuracy, information density, and quantitative cross-referencing in meeting summarization and sports analysis. Using DecipherPref, a pair-wise evaluation framework grounded in the Bradley-Terry-Luce model, we further probe LLMs' inherent preferences for information-rich and lengthy inputs, and we identify critical deficiencies in financial decision-making through DeFine, where models lack precise insight …

Odd Colorings Of Graphs With Maximum Degree And Surface Conditions, Matthew Kyle

Graduate Studies Theses and Dissertations 2026

A proper vertex coloring of a graph is said to be odd if, for each vertex, there is a color that is present an odd number of times in its neighborhood. Introduced as a softening of other coloring problems, this problem has recently seen much research interest. It has been conjectured that all planar graphs are odd-5-colorable. Further research has suggested bounds for odd coloring numbers of graphs with different maximum degree conditions, different girths, and on different surfaces; we progress results in all of these areas. We improve an upper bound for odd coloring numbers of graphs of maximum …

Cfd Investigation Of Heat Transfer Enhancement In Pipes Using Gyroid Tpms Structures For Industrial Steam Generation, Alejandro Moreno Escribano

Graduate Studies Theses and Dissertations 2026

Industrial heating processes account for nearly 28\% of global CO2 emissions, and fossil fueled boilers predominate in high temperature applications. Industrial electrification can be an effective solution when combined with renewable energy sources. Increasing steam generation efficiency and at the same time maintaining system compactness is a significant challenge in industrial thermal processes. Traditional smooth pipes offer limited heat transfer surface area, which constrains boiling heat transfer performance and reduces the overall efficiency of steam generation systems. Advanced internal geometries have the potential to significantly enhance heat transfer by increasing surface area and promoting fluid mixing. This work presents a …

Revolution In The Age Of Social Media: A Mathematical Model For Information, Dissent, And Stability, Killian Muollo

Graduate Studies Theses and Dissertations 2026

Revolutions, defined by Skocpol as rapid transformations in class, state, and/or social structures, are important world events that can cause civil wars, spark international trends, and result in transitions toward democratic and autocratic regimes alike. They are characterized largely by the mechanism of mass mobilization, which is increasingly facilitated by online networks and digital communication. In this dissertation, we investigate such means and outcomes of revolutions as dynamical systems. We construct three models describing separate but complementary aspects of revolution, beginning at the smallest unit of analysis and then moving outward in scope. First, we construct a graph-based model to …

A Theoretical Study Of Molecular Photoionization: Applications To Molecules Of Astrophysical And Atmospheric Interest, Conner Penson

Graduate Studies Theses and Dissertations 2026

This thesis is devoted to the development of the model for total molecular photoionization spectra which is general to diatomic molecules and the application of this model to two benchmark systems, CH and N2, for verification. This model combines multi-channel quantum defect theory, first-principles ab initio molecular calculations, and vibrational frame transformation to accurately model molecular photoionization and electron impact including vibrational dynamics. The scattering data and transition dipole moments for the molecular systems were calculated using R-matrix method through the UKRMol+ codes. A vibrational frame transformation is then performed and multi-channel quantum defect theory is used to calculate closed …

Adaptability And Applications Of Advanced Laser Absorption Diagnostics In High-Pressure Shock Tube Environments, Lucas R. Pitts

Graduate Studies Theses and Dissertations 2026

Theoretical application and physical implementation of various laser absorption spectroscopy (LAS) diagnostics are examined within a high-pressure shock tube facility. Research focuses on the rationale behind the specific optical alignment layouts used across three distinct experimental campaigns, detailing the methodology required to maintain signal integrity in varied reacting flow environments. The first research campaign addresses the pyrolysis of hydroxyl terminated polybutadiene (HTPB) solid propellant binders for solid fuel ramjet (SFRJ) applications by measuring the species time histories of alkenes and aromatics. Alignment configurations prioritized beam stability and signal strength for the decoupling of overlapping absorption features to ensure measurements accurately …

Study Of Compressibility Of Flames In Scramjet Combustors, Anirudh Ranganathan

Graduate Studies Theses and Dissertations 2026

Viable forms of propulsion for practical hypersonic flight are of great interest in modern times, of which supersonic combustion ramjets(scramjets) are a very advantageous option. Compared to ramjets, which are severely limited by increasing total pressure loss and dissociation effects, scramjets offer a much more efficient form of propulsion in the Mach 6 – 8 regime. Despite this, a common and unmitigated issue facing scramjet technology is scramjet unstart.

Prior investigations researching scramjet unstart have elucidated global heat release considerations in relation to total fueling or combustion modes as a result of global heat release . Minimal work has been …

Old Maps Of The New World & New Theories On The European Encounter With La Florida: An Historical Archaeological And Four Field Anthropological Approach To Peter Apian's Cosmographia (1575), Emerson S F Richards

Graduate Studies Theses and Dissertations 2026

This thesis examines the 1575 Spanish edition of the Cosmographia, a geographic textbook initially authored by Peter Apian and expanded by Gemma Frisius, as a source for anthropological inquiry into early European encounters with the Americas. Little attention has been given to the text’s potential as a source for anthropological analysis, particularly regarding its representations of the Americas and the cultural information embedded in the geographic data. This study addresses that gap by applying a Four-Field anthropological framework—cultural, biological, linguistic, and archaeological—to this edition, which incorporates excerpts from Ieronimo Girava’s qualitative and quantitative description of the Americas, including a …

Shock Tube Speciation Analysis Of Hydrocarbon Mixtures Relevant To Solid Fuel Combustion, Diego N. Ruiz Pena

Graduate Studies Theses and Dissertations 2026

Solid Fuel Ramjets (SFRJs) are often used in tactical applications due to their simplicity, robustness, and reliability. No moving parts, atmospheric oxidizer usage, and scalable fuel grain designs make them a great solution for compact, high-speed air-breathing propulsion systems. SFRJs operate by compressing incoming air through a fixed geometry inlet and directing it over a regressing solid fuel surface, where pyrolysis gases are released and transported downstream to the combustion chamber where thrust is generated. Hydroxyl-terminated polybutadiene (HTPB) is a commonly used fuel binder in SFRJ systems due to its high energy density, stable combustion behavior, and ease of processing. …

Data-Driven Seismic Site Classification Using Earthquake And Microtremor Horizontal-To-Vertical Spectral Ratios, Sanidhya Sharma

Graduate Studies Theses and Dissertations 2026

The prevailing seismic site classification parameter, the time-averaged shear-wave velocity in the upper 30 meters (V_S30), provides an incomplete representation of site conditions, neglecting deeper geology, impedance contrasts, and resonance phenomena. This thesis developed and validated a data-driven framework for seismic site classification based on the full spectral shape of Horizontal-to-Vertical Spectral Ratio (HVSR) curves combined with unsupervised machine learning, through two complementary research studies. Research 1 applied K-means clustering to earthquake-based HVSR (eHVSR) data from 3,186 ground motion stations across California and adjacent regions, identifying four physically distinct site clusters, characterized by low-frequency, very-low-frequency, high-frequency, and …

Entre Dos Mundos: A First-Generation Cuban American's Journey Through Identity And Memory, Alessandra M. Gonzalez

Graduate Studies Theses and Dissertations 2026

ENTRE DOS MUNDOS (translated as “between two worlds”) explores the complexities of growing up as the eldest daughter in a Cuban American immigrant family and the tensions of navigating life between cultures. Set in Miami, the collection blends lyrical and prose poetry to examine cultural identity, diaspora, intergenerational memory, and the emotional landscape of young adulthood. Through personal narrative and historical context, ENTRE DOS MUNDOS traces the speaker’s coming-of-age amid the inherited stories of her family’s escape from Cuba and the lingering effects of displacement. The section “Yo” focuses on the psychological challenges of adolescence and early adulthood, reflecting on …

Exploring The Temporal Dynamics Of Gaming-The-System And Self-Regulated Learning Behaviors Within A Game-Based Learning Environment, Cameron E. Marano

Graduate Studies Theses and Dissertations 2026

Consistently monitoring and regulating cognitive and metacognitive skills during learning is difficult. As a result, game-based learning environments (GBLEs) have been designed to provide richer learning experiences. They foster self-regulated learning (SRL) skills and offer a way to study learners' interactions within complex environments. Although SRL in GBLEs has been widely studied, large gaps remain. For example, it is unclear how improper or maladaptive regulation in GBLEs signals gaming-the-system, in which learners manipulate features to avoid authentic learning. This phenomenon is widely studied in intelligent tutoring systems (ITSs). Limited research has examined how and when both gaming-the-system and SRL behaviors …

Investigating Effects Of The Macroalga Caulerpa Prolifera On Restoration Of The Seagrass Halodule Wrightii In The Indian River Lagoon, Florida, Luciana M. Banquero

Graduate Studies Theses and Dissertations 2026

Seagrass restoration efforts have been motivated by global decreases in coverage associated with anthropogenic influences on the environment. In the Indian River Lagoon (IRL), FL, seagrass declined by 75% between 2011 and 2021. During this time, abundance of the macroalga Caulerpa prolifera increased substantially in the IRL. The macroalga is native to this estuary, however C. prolifera abundance has fluctuated widely in the past few decades. Being highly opportunistic, C. prolifera took advantage of areas formerly inhabited by seagrass. It is not known how dense, continuous beds of C. prolifera impact seagrass restoration projects or natural recovery of seagrass. Previous …

Using Inferences From Natural Language Narratives To Improve Video Question Answering, Hoang Bao Truong

Graduate Studies Theses and Dissertations 2026

The purpose of this thesis is to examine how structured narrative representation and reasoning strategies jointly affect the performance of Video Question Answering (VideoQA). Although recent advances in large multimodal and language models have improved video description and retrieval, causal and counterfactual reasoning remain challenging. This thesis studies an inference-only pipeline in which videos are converted into natural-language narratives, and those narratives may optionally be transformed into a structured NarrativeML format before multiple-choice questions are answered without task-specific fine-tuning. NarrativeML is a machine-readable narrative representation that explicitly encodes entities, events, and their causal and temporal relations. Three representational contexts are …

Machine Learning Acceleration Of Micro-Credentialing, Knowledge Gap Remediation, And Micro-Recruiting Of Stem Assessments: From Learner Data To Hardware, Paul Amoruso

Graduate Studies Theses and Dissertations 2026

The growing demand for a skilled STEM workforce calls for adaptive, data-driven education that personalizes learning while aligning competencies with industry needs. This work introduces a multi-layered framework that integrates artificial intelligence (AI), data mining and hardware-aware optimization to support this goal. At its core, the AchieveUp system applies generative AI-assisted skill tagging to digitized assessments, enabling multi-semester tracking of student progress. Analysis across 14 semesters shows that underperforming students were found to benefit most from attending score clarification sessions, a relationship validated by an R² value of 0.83, indicating strong predictive validity between attendance and skill acquisition. To remediate …

Creating Your Own Learning Path: Lessons From The Physics Classroom, Natalia Romero

Teaching Repository of AI-Infused Learning

Driving Your Own Learning Path is a strategy that guides students to create personalized AI-supported learning. Students initiate and refine their own prompts, progressing from basic questions to deeper conceptual and relational inquiries while using AI as a thinking partner rather than an answer provider. This approach strengthens self-regulation and metacognitive awareness by allowing students to reflect on their learning process and adapt their study strategies in real time.

Empowering Digital Fluency: A Course-Based Strategy For Practical Ai Tool Integration In Higher Education, Melissa J. Brooks

Teaching Repository of AI-Infused Learning

This course was designed to introduce students to a range of AI tools while enabling hands-on experience in their practical application. Students were required to explore multiple AI tools across domains such as content generation, data visualization, video production, note-taking, and accessibility. The course culminated in a final project where students selected and applied an AI tool (or set of tools) to create a resume, a cover letter, and a presentation about themselves and how they anticipate the use of AI in their chosen Industry. Tools recommended were Jenni.AI, ChatGPT, Slide bean, Canva, Grammarly, Gamma, Synthesia.AI, and Perplexity, Otter.AI. One …

Practicing Disciplinary Role-Play With Ai: Bioinspired Innovation Meets Business Strategy, Christine R. Rodriguez

Teaching Repository of AI-Infused Learning

Students use Blackboard’s AI Conversation tool to rehearse their team’s innovation pitch with a simulated investor. This role-play activity prepares students to confidently communicate scientific ideas in business contexts and strengthens final group presentations.

Beat Chatgpt: Cultivating Critical Ai Literacy Through Student-Created Problems, Sybil Prince Nelson

Teaching Repository of AI-Infused Learning

Beat ChatGPT is a gamified assignment that positions AI as both a rival and a resource to foster critical AI literacy. Students either design statistics problems that ChatGPT is likely to answer incorrectly or critique flawed AI-generated solutions, then provide accurate responses and reflections. This strategy not only deepens disciplinary understanding but also equips students to engage with AI tools thoughtfully, ethically, and creatively.

Ucf Libraries Annual Report 2024-2025, John C. Hitt Library

Libraries' Documents

Annual report for the UCF Libraries for the year 2024-2025

Locations Of Outfalls In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly M. Kibler, Melinda J. Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_Outfalls_IRL_LWL.shp was created under grants from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL).

The dataset presented here includes the location of outfalls identified throughout the study region and general characteristics of the shoreline where they were identified.

Seagrass Persistence In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly Kibler, Melinda Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_seagrasspersistence_IRL_LWL.shp was created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL). The dataset presented herein represents persistence of seagrass throughout waters of the IRL and LWL.

Living Shoreline Prioritization And Hydrodynamic Habitat Suitability Models For Restoration In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly M. Kibler, Melinda J. Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_shorelinemodel_IRL_LWL.shp, was created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon and Lake Worth Lagoon.

The dataset presented herein includes:

1. shoreline data from >15,000 transects collected in the field,
2. shoreline wave climate data created through hydrodynamic modeling and frequency analysis of historic data,
3. categorization of potential risk for shoreline boat wake impact,
4. persistence of seagrass within 210 m of the shoreline, …

Breathing In Two Languages: Inclusive Sel For Multilingual Learners, Mylia Briggs, Monica Gonzalez Smith

Journal of English Learner Education

As multilingual learners (MLs) represent the fastest-growing student demographic in U.S. public schools, educators face increasing pressure to support these students’ academic and socio-emotional needs. Traditional social-emotional learning (SEL) frameworks often align with Eurocentric norms and overlook the cultural and linguistic assets of MLs. This action research self-study investigates a third-grade teacher’s implementation of culturally responsive, equity-oriented SEL (CRSEL) practices in an urban public school in Hawai‘i. Through adapted SEL lessons centered on gratitude, students engaged in activities that integrated home languages, cultural traditions, and identity-affirming practices. Findings reveal three key themes: self-awareness as validating and emancipatory, social awareness as …

Dual Or Full Immersion - What Do Wida Access Scores Reveal Might Work Best For Primary Grade Ell Students?, Charla D. Chailland, Lori Gumbert-Harris

Journal of English Learner Education

The purpose of this quantitative study was to examine the academic performance of primary-grade English Language Learner (ELL) students attending Dual Immersion programs compared to their ELL peers in Full Immersion programs. This Indiana study employed a quasi-experimental design for non-equivalent control groups and analyzed three years of WIDA ACCESS assessment scores in reading, writing, and Overall English Proficiency. Archived test results from ELL students who attended one of 12 qualifying Dual Immersion programs were compared to the scores of ELL students who attended one of 12 comparable Full Immersion programs. Results were analyzed by grade level (K-3) and demographic …

Transdisciplinarity Through A Functional Approach In The Content Areas: Commonalities For School Teachers, Karen L. Terrell, Luciana C. De Oliveira, Jia Gui

Journal of English Learner Education

In 2020, the WIDA Consortium released a revised English language development standards framework that integrates a functional approach to language development, grounded in systemic functional linguistics, across core subjects: English Language Arts, Mathematics, Science, and Social Studies. Central to this framework are four Key Language Uses—Narrate, Inform, Explain, and Argue. While this holistic approach is promising, it poses challenges for elementary and middle-grade teachers and ESOL specialists, who often teach multiple subjects. To ensure all teachers can implement this approach effectively, the integration of functional language must be simplified for generalist instructors. This article explores how identifying linguistic commonalities across …

The Key To Acquiring The Language Of Law, Science, And Technology In The Esl College Classroom, Patricia George-Hunter

Journal of English Learner Education

Since vocabulary plays a significant role in second language acquisition, expansive vocabulary targets should be set and pursued. This paper explores the results of introducing affixes to develop vocabulary and increase motivation for beginner to intermediate-level English language learners (ELLs) pursuing academic disciplines in law, science, and technology at a New York City community college. Participants included 23 ELLs with diverse linguistic, educational, and sociocultural backgrounds enrolled in an online synchronous Integrative Language Seminar (ILS) designed to develop all areas of English language proficiency. Pre‑, post‑, delayed tests, questionnaires, and post‑intervention interviews were conducted and analyzed to establish the language …

Human-Machine Communication: Complete Volume. Volume 11

Human-Machine Communication

This is the complete volume of HMC Volume 11.

Generative Ai In Higher Education: A Comparative Study Of Chatgpt Adoption, Perception, And Use Among College Students In The Global North And Global South, Shudipta Sharma, Louisa Ha

Human-Machine Communication

Generative AI tools like ChatGPT have become the fastest-adopted technology, raising concerns about its misuse in education. This study explores ChatGPT usage for class assignments among 646 college students in the U.S. and Bangladesh, focusing on their perceptions and trust in the tool. Using the technology acceptance model, along with internet efficacy and social persuasion theories, we found that students in both countries had high levels of awareness and adoption. Individual factors did not significantly influence ChatGPT usage, while social persuasion, perceived usefulness, perceived ease of use, and country were the strongest predictors. The findings suggest that AI technology may …

Making Sense Of The Role Of Chatgpt In Education: An Examination Of Student Views In China, Italy, Kenya, Uruguay, And The U.S., Leopoldina Fortunati, Autumn P. Edwards, Weiming Ye, Anna Maria Manganelli, Chad Edwards, Soledad Caballero, Lusike Mukhongo, Giovanni Ferrin

Human-Machine Communication

This article investigates the diffusion and adoption of ChatGPT among college students from a multinational convenience sample, informed by the scholarly literature on the diffusion and progressive appropriation of ChatGPT by students and teachers within the education sector and the strategies adopted by academic institutions. We applied a figurational approach to this study, offering two theses that try to understand the societal meaning of ChatGPT diffusion in the educational sector. Operationally, we explored university students’ behavioral intentions, practices of use, and opinions toward ChatGPT in five countries (China, Italy, Kenya, Uruguay, and the United States of America) through an online …