Digital Commons Network^™

A Causal-Comparative Study Of Student Perception Of The Usefulness Of Llms For Academic Achievement Among Business Technology Course Levels (200, 300, And 400) When Comparing Free Versus Paid Llm Access, Wendy Chun

Doctoral Dissertations and Projects

The purpose of this quantitative causal-comparative study was to determine if there is a difference in student perceived usefulness of large language models (LLMs) for academic achievement among undergraduate business students at different business technology course levels (200, 300, and 400) when comparing access to free versus paid LLMs. This study is important because it contributes to a practical understanding of the impact of LLM-assisted learning on students' perception of how LLMs contribute to academic achievement at the undergraduate level; therefore, this study contributes to the literature by providing empirical-based information on how a student perceives the effectiveness of using …

Glider Gladiators: American Transport Aviators And Gliderborne Troops From Operation Ladbroke Through Operation Overlord, Gregory F. Withrow

Doctoral Dissertations and Projects

This study reassesses the overlooked but crucial role of American glider pilots, gliderborne infantry, and C-47 Troop Carrier Command aviators in Allied airborne operations from Operation Ladbroke to Operation Overlord. While most accounts of World War II airborne warfare focus on paratroopers, this dissertation shows that glider forces were key to the success of major Allied offensives. They often faced misinterpretation, bias, and historical omission. By using a wide range of primary sources—including glider pilot interrogation reports, unit operational records, after-action analyses, and firsthand accounts—this work reconstructs the tactical, logistical, and experiential aspects of American glider operations at a depth …

Acoustic Black Hole Structures Using 3d-Printed Polymer Concrete, Siham S. Al Shanti

Civil Engineering ETDs

Mitigating unwanted vibrations is essential in the design of structural and mechanical systems to ensure safety, reliability, and long-term performance. This dissertation advances the Acoustic Black Hole (ABH) concept, passive vibration control strategy, by replacing geometric tapering with controlled material properties. Using Euler–Bernoulli beam theory, elastic modulus variation in polymer concrete (PC) enabled wave velocity reduction without compromising fatigue resistance. The high strength, excellent damping, and rheological properties of PC makes it ideal for 3D-printed ABH structures. This work examined bond performance between normal concrete properties, developed PC mixes with tailored rheological and mechanical properties, and evaluated their 3D-printability. A …

Dynamic Generation Of Contextual User Interface Controls From Content Analysis, Sönke Rohde, Alan Ross, Carsten Hinz

Defensive Publications Series

User interfaces for content generation and manipulation can be limited by static controls or ambiguous inputs that may not provide precise, context-specific tools. The disclosed technology relates to a system that can programmatically generate adaptive user interface (UI) controls based on content analysis. This system can analyze a corpus, such as an image or document, to perform semantic inference and derive manipulable properties. These properties can be mapped to declarative UI definitions for controls, such as sliders or dropdown menus, which can be rendered by a host application. This process can provide a user with context-aware controls tailored to specific …

Reconstructing Missed Photographic Moments Within A Spatiotemporal Event Cluster, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

Group photos captured at events such as birthdays, weddings, holidays, etc. may sometimes leave out important individuals, rendering the memory of the event incomplete. This disclosure describes techniques that utilize generative artificial intelligence to reconstruct missed moments within a set of photos taken during a particular event by leveraging the collective context of the photos within the photo set. A multi-state artificial intelligence (AI) pipeline is implemented that includes missed moment identification using event analysis; asset and scene reconstruction; context-aware reconstruction; and generative rendering. The techniques shift the paradigm of digital photo albums from organizing photos to helping users obtain …

Llm-Based Automatic Generation Of Contextually Appropriate User Interface, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

Currently, the user interface (UI) for digital photo management applications is a static, reverse chronological grid of thumbnails. From a user perspective, this UI has several drawbacks such as high interaction cost for retrieval, lack of contextual adaptation, and higher task friction. This disclosure describes a generative situational UI engine for media management applications. The engine is powered by an integrated large language model that is capable of automatic user interface generation. This engine replaces the static, one-size-fits-all grid with a dynamic interface that, with the user’s permission, is generated based on the user’s context and the content of their …

Coordinated, Heterogeneous Model Composition Under A Shared Governance And Audit Layer, Joseph Jm Walker

Defensive Publications Series

This paper introduces the Modular Artificial Specialized Intelligence (MASI) framework, a distributed cognitive architecture designed to address the safety, transparency, and governability limitations of monolithic foundation models. MASI decouples reasoning into four canonical, independently operational roles—Wisdom, Foresight, Empathy, and Precision—coordinated through a standardized communication layer known as the MASI Bus. The framework enforces a Consult-Before-Execute (CBE) protocol, requiring multi-perspective verification, drift detection, and ethical arbitration prior to any system output or tool execution. This deliberative process is quantified via the MASI Trust Score ($T_{masi}$), a dynamic metric integrating fairness, logic, and uncertainty into a verifiable audit artifact. Additionally, the …

Model-Driven Continuous Validation Using Adversarial Testing In A Digital Twin, Ramakrishnan Neelakandan, Teginder Singh, Bakul Patel

Defensive Publications Series

Conventional software validation methods can be static and periodic, which may present challenges for continuously updated platforms (e.g., cloud platforms) in regulated industries and can impede the validation of non-deterministic systems like artificial intelligence models. A system for continuous validation may use a dual-pathway architecture guided by a machine-readable compliance model. One pathway can perform adversarial testing within an isolated digital twin of a production application to discover potential compliance weaknesses. Concurrently, a second pathway can provide real-time observational monitoring of the live production system for policy deviations and anomalies. Findings from both pathways may be consolidated into a persistent, …

Multimodal Ai For Descriptive And Causal Analysis Of Infrastructure Defects From Imagery, Theodorus Tjhang

Defensive Publications Series

Some automated systems for infrastructure inspection may detect defects from imagery but could lack the ability to provide descriptive context, causal reasoning, or interactive querying. A system is described that can utilize a multimodal artificial intelligence model to analyze visual data, such as pre-existing geolocalized imagery, in conjunction with natural language text prompts. The system can generate detailed analytical outputs including, for example, segmentation masks and bounding boxes for defect localization, as well as descriptive labels detailing the nature of a defect, its potential causes, and the reasoning for its detection. This approach can facilitate a more comprehensive and interactive …

Self-Improving Autonomous Data Exploration System With Meta-Learning And Temporal Knowledge Graph, Sai Charan Tej Kommuri, Madhup Sukoon

Defensive Publications Series

Data exploration methods that rely on manual intervention may be limited in their ability to autonomously discover insights from large, unanalyzed enterprise datasets. To address this, systems and methods are described that can employ a self-improving, multi-agent architecture. This system can feature an exploration layer for generating hypotheses, an evaluation layer for validation, a temporal knowledge graph (TKG) to serve as a persistent memory of insights, and a meta-learning layer. The meta-learning layer can observe analytical outcomes stored in the TKG to refine future exploration policies. This closed-loop process can enable the system to autonomously generate, validate, and learn from …

[Conversational Operating System] Dynamic System Prompt Architecture For Context State Governance In Large Language Models, Joseph Jm Walker

Defensive Publications Series

Core Insight

The system prompt should not be treated as static instructions.
It should be treated as a dynamic operating layer that governs reasoning, tone, epistemic discipline, bias correction, and long-term continuity.

What Makes This Distinct

Most prompt engineering focuses on what the model says.
This work focuses on how the model reasons, under what constraints, and how that behavior persists over time.

This disclosure presents a dynamic system-prompt architecture that transforms the system prompt of a large language model from a static instruction block into an adaptive governance layer. The architecture introduces a context-state machine, an operator-level control protocol, …

Teaching Stem Courses Using Ignatian Pedagogy, Gintaras K. Duda

Jesuit Higher Education: A Journal

Despite the impact of the Jesuit educational endeavor on the rise of science, the Ignatian Pedagogical Paradigm (IPP), the signature Jesuit Pedagogy, is not frequently used to teach courses in science, technology, engineering and mathematics (STEM), and very little literature exists documenting any such attempts. In this paper, I describe a framework for how to apply the IPP to STEM courses using active-engagement strategies and assessment tools from disciplinary-based educational research (DBER). I provide three examples of how I have implemented the IPP in physics courses at various levels in the curriculum at a Jesuit University complete with assessment results …

The Current State Of Global Engagement Within U.S. Jesuit Institutions: Challenges And Opportunities, Han Yan, Lin Lu

Jesuit Higher Education: A Journal

Jesuit education aims to cultivate global citizens who actively engage with the world and champion social justice. As economic and social ties grow increasingly interconnected, Jesuit institutions need to develop innovative international learning opportunities for students. In this study, using publicly available IIE Open Doors data from the past two decades, we assess international student enrollment and study abroad initiatives at U.S. Jesuit institutions and compare these metrics against national trends. The results suggest that U.S. Jesuit institutions have substantial potential to invest in and reap the benefits of global engagement. Grounded in the Jesuit mission and the Inspirational Paradigm …

Generative Ai And The Ignatian Pedagogical Paradigm, Nicole Reibe

Jesuit Higher Education: A Journal

A group of seven faculty members, the Digital Teaching Fellows (DTF), were formed in 2023 to explore issues related to generative AI at a Jesuit university in the United States. The group incorporated generative AI assignments into their courses and conducted a survey assessing students’ experiences with generative AI in the course. Drawing from both quantitative and qualitative analysis, the DTF reached two key conclusions. First, despite their reservations, students’ overall receptiveness to generative AI integration creates a fitting moment for thoughtful pedagogical innovation. Second, our findings reveal a critical gap between generative AI’s current implementation and its potential to …

Co-Creating An Encyclopedia Of Abolition As A Method Of Abolitionist Instruction And Community Engagement, Kristen Maziarka

Feminist Pedagogy

No abstract provided.

2022u_Sm07_Approved_Cm_Bio-4813-4823-Curation-Of-Collections-Nat-Hist-Collections-Research, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2022u_Sm08_Approved_Program-Deletion_Ba-Environmental-Studies, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2022u_Sm03_Approved_Cm_Bio-3033-Evolution-Rev1, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2021u_Sm29_Approved_Cm_Math-4533-Numerical-Methods, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2021u_Sm24_Approved_Nc_Math-3373-Mathematics-For-Secondary-Teachers-Rev3, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2021u_Sm23_Approved_Pm_Curricular-Revision-Bse-Math-Rev1, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2022u_Lac91_Approved_Nc_Art-3123-Creative-Practice, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2022u_Lac86_Approved_Cd_Art-3330-Bfa-Review, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2022u_Lac85_Approved_Cd_Art-1043-Drawing-Ii, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2022u_Lac84_Approved_Cd_Art-1023-Design-Ii, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2022u_Lac83_Approved_Cd_Art-1013-Design-I, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2022u_Lac51_Approved_Nc_Art-3113-Fiber-Arts, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2022u_Lac04_Approved_New-Minor_Jazz-Studies, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2021u_Lac74_Approved_Cm_Stcm-3553-Strategic-Visual-Communication-Rev1, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.

2022u_Nhp32_Approved_Cm_Oesh-4013-Osha-Standards-And-Practices, Undergraduate Curriculum Committee

All Approved Curriculum

No abstract provided.