Digital Commons Network^™

Preservice Teacher Preparedness To Teach In The Inclusive Classroom Setting: A Hermeneutical Phenomenological Study, Jessica Malter

Doctoral Dissertations and Projects

The purpose of this hermeneutical phenomenological study was to understand how teacher preparation programs provided experiences with inclusive practice coursework for novice (no more than three years of experience) special education and general education teachers working with students with disabilities in the inclusive classroom setting at K-12 schools in Southwestern Missouri. The theory guiding this study was the Self-determination Theory (SDT) by Edward Deci and Richard Ryan, as it focused on the social conditions that could allow for or hinder the flourishing of an individual. The central research question guiding this study was: How have teacher preparation programs provided experiences …

The Relationship Between Parental Engagement And Student Hope In Adolescent Students: A Multiple Linear Regression Analysis, Monique Danielle Ray

Doctoral Dissertations and Projects

This quantitative, predictive, correlational study aims to determine the influence of parental engagement, comprised of its multiple individual factors, on psychological hope in adolescent students. The importance of this study is grounded in the development of national programs such as the Parent Teacher Association (PTA), which seeks to support the family-school relationship as a critical component in student success and in the research literature that strongly links parental engagement to student academic achievement and social outcomes essential to children’s educational attainment. In this study, 112 students were randomly selected from two schools. Parents completed an anonymous, digital version of the …

Converting Membership Into Discipleship: A Spiritual Formation Program In Discipleship For Rural African American Churches, Ernest L. Williams Sr.

Doctoral Dissertations and Projects

This thesis project addresses the need for rural African American churches to focus on spiritual formation and discipleship for their parishioners. Churches that emphasize the importance of the gospel and believers’ daily commitment to it represent progress toward discipleship. Discipleship creates a connection between worship and lifestyle. Churchgoers, particularly African American Christians in rural settings, may struggle to understand and practice discipleship. Historically, church worship and attendance have been prioritized in this faith community. However, Sunday worship that fails to provide a plan for daily spiritual formation may contribute to the issue. If the gospel is not the church’s primary …

Educational Leadership And Advocacy For Change: A Historical Examination Of Georgia State Superintendents’ Reporting And Public Education Reform (1933–1977), Benjamin Isaac Casado

Doctoral Dissertations and Projects

This dissertation examines the role of Georgia’s State Superintendents of Schools in shaping public education from 1933 to 1977, a period marked by profound social, economic, and political change. Focusing on the tenures of Dr. Mauney Douglass Collins, Dr. Claude Lamar Purcell, and Dr. Jack P. Nix, it explores how these leaders utilized the Georgia Department of Education reports to the General Assembly to advocate for legislative reforms and address the evolving educational challenges of their respective eras.

Through a detailed analysis of these reports, this study uncovers the superintendents’ strategies, priorities, and policy recommendations, shedding light on their leadership …

Exploring The Persistence Experiences Of Ells In Higher Education: A Phenomenological Study, Robert J. Platt

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to understand the persistence experiences of undergraduate English Language Learners at a four-year Christian institution in New Jersey. Twelve participants were recruited from various schools within the college. The theory guiding this study was Tinto’s (1975) student integration model specifically examining this idea within the context of academic and social integration. The central research question of this study was, “What are the persistence experiences of English Language Learners at a private four-year institution in New Jersey?” To achieve this, semi-structured interview questions, journaling prompts, and focus groups were used, and data were …

Higher Education Instructor's Perceptions Of Student Motivation And Academic Success When Implementing Project-Based Learning: A Transcendental Phenomenological Study, Al Baraa Z Abu Hawili

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to understand the lived experiences of instructors on the perceived impact of project-based learning on their students. Project-based learning was generally defined as a student-focused instruction method that instructors can utilize. This research shed light on the gaps in the study regarding instructors’ perception of the effects of project-based learning on their students’ motivations and academic success. Most available research discussed student perceptions of project-based learning. This research also aimed to identify project-based learning as a possible solution to the decline in students’ motivation and academic success in a post-pandemic world. The …

Fort Hays State University Tiger Weekly, April 18, 2025, University Relations

Tiger Weekly Newsletters

No abstract provided.

History’S Unsung Hero: Examining Oscar Dunn And African American History Through A Graphical Novel, Nefertari Yancie

The Councilor: A National Journal of the Social Studies

Social studies curriculum is at the center of heated debates in U. S. politics. Conservative politicians seek to limit what student are taught about the experiences of people of color who have been oppressed or subjected to racist policies and treatment throughout American history. Whitewashing history denies students the chance to examine history in its fullness as they are unable to analyze the voices and experiences of all people whose stories have contributed to the American story. In this article, the author explores how graphic novels may be used to teach African American history. Specifically, the author discusses how activities …

Artifact Investigation As An Access Point To Doing Social Studies, Jacquelyn R. Benchik-Osborne, Susan Mcdonough

The Councilor: A National Journal of the Social Studies

Social studies methods coursework at two Minority-Serving Institutions (MSIs) emphasizes providing access to rigorous social science education for all. Teacher candidates (TCs) learn to design equitable opportunities for students in the elementary and middle level classrooms to engage in inquiry–to do social studies. One tool social scientists use to “do” their work is artifact investigation. Artifacts, such as historical photographs and primary sources, help students connect with cultural and historical contexts. Using digital artifacts from the Library of Congress (LOC), TCs create opportunities for students to explore social dynamics, identity formation, power structures, and community development through cultural realia. …

The Universe Through The Lens Of Gravitational Waves, Bartosz Fornal

Mathematics Colloquium Series

Gravitational waves were predicted by Einstein’s theory of general relativity back in 1916, but it took 100 years of scientific and technological progress to measure them directly at the Laser Interferometer Gravitational-Wave Observatory (LIGO). Although the signals detected by LIGO originated from cataclysmic astrophysical events such as black hole and neutron star mergers, one expects the presence of a primordial gravitational wave background permeating space today emitted within one trillionth of a second after the Big Bang, some 13.8 billion years ago. Such a signal could have been produced by various particle physics phenomena in the early Universe, including phase …

Simulation-Based Design Optimization Of Active-Control Rocket Canards In Subsonic Flight, Simon Babcock, Christopher Jaus, Evan Carmello, Judah Finley, Kaelyn Haynie, Robert Rivera, Samuel Worthington, Zizai Liu

Liberty University Research Week

Rocket canards are small, vertical control surfaces located above a rocket’s main rear fins, typically just below the nosecone, providing active-control maneuverability during flight. When an internal mechanism rotates the canards about their center relative to the rocket air frame, they achieve an angle of attack and produce a lifting force perpendicular to the airflow and tangential to the curvature of the air frame. This lifting force causes a moment relative to the rocket’s center of gravity along both the roll and pitch axes, which can be used to stabilize the rocket mid-flight by providing corrective adjustments to the rocket’s …

Application For Prediction Of Heart Failure; The Next Step In Machine Learning For Healthcare, Amy Adyanthaya, Dawn Bowerman, Rachel Liercke, Robert Slater

SMU Data Science Review

Heart failure (HF) is a serious medical condition affecting approximately 6.7 million U.S. adults and is expected to impact 8.5 million Americans by 2030 [1]. Heart failure is a complicated clinical ailment and characterizes the final course of numerous heart diseases [2]. This paper introduces a machine-learning-based application that utilizes Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), and XGBoost models, implemented through the Python Flask framework, to predict HF risk using clinical data. The results indicate high model performance, with precision and recall metrics underscoring the application’s reliability in identifying at-risk patients. By providing real-time, accessible insights, this tool aims …

Multi-Agent Translation Team (Matt): Enhancing Low-Resource Language Translation Through Multi-Agent Workflow, Anishka Peter, Mai Dang, Michael Liu, Joaquin Dominguez, Nibhrat Lohia

SMU Data Science Review

Like humans, large language models (LLMs) benefit from revision and refinement, especially for complex tasks requiring critical thinking. Inspired by human collaborative problem-solving, this study introduces a novel multi-agent workflow designed to enhance LLM translations from English to low-resource languages. Multi-Agent Translation Team (MATT) involves the collaboration of agents that are assigned specific roles, such as translator, evaluation coordinator, and various levels of editing, to refine the initial translation into the most desired version possible. The agents work collaboratively in an iterative loop until the translation loss meets a satisfactory threshold. It stands out from other multi-agent workflows by combining …

Enhancing Animal Shelter Operations With Time Series And Machine Learning, Sakava L. Kiv, Donald L. Anderson, Shivam Negi, Jacquelyn Cheun

SMU Data Science Review

Enhancing animal shelter operations through machine learning involves employing a variety of advanced techniques aimed at increasing efficiency, promoting animal welfare, and optimizing resource allocation. This paper explores predictive analytics for adoption rates using regression models to estimate the likelihood of adoption based on historical data, encompassing variables such as breed, health status, and previous adoption trends. Additionally, classification algorithms are utilized to categorize animals by adoption probability, facilitating better resources and marketing prioritization. Clustering algorithms are employed to group animals according to behavior patterns and/or physical health, enabling tailored medical care and enrichment activities that improve their mental and …

Enhancing Network Security Through Dual-Layer Log Analysis: Integrating Machine Learning Classifiers With Large Language Models For Intelligent Anomaly Detection, Anthony Burton-Cordova, O'Neil Gray, Mohammad Al Rousan

SMU Data Science Review

This paper presents an innovative approach to enhancing network security by integrating machine learning algorithms with fine-tuned large language models (LLMs) to provide an expert assistant querying. The proposed method utilizes machine learning for efficient preprocessing and feature extraction from log data, followed by the application of a fine-tuned LLM to analyze and interpret anomalies with greater accuracy. This dual-layer detection system is designed to improve the identification of subtle and sophisticated security threats. The research team’s extensive evaluation using real-world log datasets indicates that the combined approach increases detection rates and communicates results in an understandable manner, demonstrating its …

Tax Clinic, Thomas Ochsenschlager

Tax Adviser

No abstract provided.

Research Days 2025 Program, Governors State University

Research Days

No abstract provided.

Survey On Intelligent Planning Methods From Large Language Models Perspective, Yanzhong Zhou, Junren Luo, Xueqiang Gu, Wanpeng Zhang

Journal of System Simulation

Abstract: Starting from the perspective of large language models, this paper gives an overview of the definition and development of intelligent planning, and briefly introduces the traditional methods of intelligent planning; based on the close relationship between large language model intelligent agents and intelligent planning, introduces the architecture of large language models and typical large model intelligent agents; focusing on the intelligent planning for large language models, combs through the learning of planning languages, chain of thought, feedback optimization, and process automation; combining with the current challenges and difficulties, introduces the outlook of cutting-edge research on intelligent planning with large …

Simulation Environment Construction Of Track Segment Association And Algorithm Performance Evaluation, Dian Ding, Guangfen Wei, Zheng Cao, Shaohui Wen

Journal of System Simulation

Abstract: In order to study the applicability of Track Segment Association (TSA) algorithms in actual radar working environment , a TSA simulation environment which can simulate the real movement of the target is constructed. By constructing a rich set of target motion sets, the state switching process of target motion is described based on Markov state transition matrix, and the density is flexibly controlled through track translation. The simulation results show that this environment can evaluate the performance of the current classical TSA algorithms. The evaluation results provide a good reference for the practical engineering application of interrupted track association.

Fids: Accelerating Network Intrusion Detection Through Strategic Feature Selection, James Elmore

Cybersecurity Undergraduate Research Showcase

Network intrusion detection systems (IDS) typically analyze complete network flows to identify malicious traffic, requiring flows to conclude before classification. This approach creates detection delays for attacks like Slowloris that intentionally keep connections open for extended periods of time. This paper introduces a novel approach that classifies network traffic using only features available from the first few packets of a flow, enabling faster detection while maintaining high accuracy. We evaluate three random forest models on the CICIDS2017 dataset using expanding sets of features: the first-packet model trained on on features available from the first backward packet, the few-packet model which …

The Evolution Of Russian And Chinese Disinformation Tactics And The Threat They Pose To The U.S. Cybersecurity, Jehovani Sese

Cybersecurity Undergraduate Research Showcase

This paper aims to discuss how disinformation has become the most powerful tool used against the United State by foreign operatives. Of these foreign operatives, Russia and China have shown the ability to use advanced tactics to truly affect the United States security. Often these tools came in the form of state-sponsored media, influence campaigns and fake online identities. This literature review explores the evolution of Russian and Chinese disinformation tactics, examining how these approaches have changed over time and become more sophisticated. This paper will highlight major campaigns which use tools such as bot networks, and social media manipulation. …

Shaped Adversarial Patches And The Ability They Hold, Nathan Hallberg

Cybersecurity Undergraduate Research Showcase

In more recent years the development of computer vision has advanced to be more comprehensive than in the past, with newer applications ranging from autonomous vehicles to security systems. The main application I will be talking about throughout this paper is an object detection algorithm called YOLO (You only look once), this algorithm is particularly significant due to their real-time performance of being able to identify and localize objects within an image in quick timing. However, the strength of these computer vision models is increasingly challenged by adversarial attacks, which manipulate the computer's vision to block a certain part of …

Cohens_D, Manish Rami

Software

This Python script calculates the effect size Cohen's d in a two group situation with known means and Standard Deviations.

Use this effect size if the sample size in your experiment is large and the two SDs are similar.

2025 April 17 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Faculty Highlights: Tong Wu Instructor, College Of Science, Engineering And Technology, Office Of The Provost

Faculty Highlights

Tong Wu Publishes New Mathematics Textbook: Understand Mathematical Functions and Their Operations through Graphing

Harding Undergraduate Research Conference 2025 Student Presentation Abstracts, Harding University

Harding Undergraduate Research Conference

This document contains titles and abstracts for all the student presentations made at the 2025 Harding Undergraduate Research Conference.

Book Of Abstracts: 2025 Honors College Research Symposium, Honors College, North Carolina Agricultural And Technical State University

2025 Honors College Research Symposium

This booklet contains the collection of research abstracts presented at the 2025 Honors College Research Symposium, held on April 17, 2025, at North Carolina Agricultural and Technical State University. The symposium highlights original undergraduate research across disciplines including science, engineering, humanities, health, education, business, and agriculture. The publication documents the scholarly contributions of Honors students through both oral and poster presentations.

Gc Minutes Apr 17, 2025, Graduate Council

Graduate Council Minutes

No abstract provided.

April 2025 Academic Affairs Minutes, University Of Nebraska At Kearney Academic Affairs Committee

Academic Affairs Committee Minutes

No abstract provided.

Uas Academic Catalog 2025/2026, N/A N/A

UAS Academic Catalogs (2011-present)

No abstract provided.