Digital Commons Network^™

Preschool Teachers’ Self-Efficacy In Teaching Mathematics: A Multiple Holistic Case Study Approach, Farhana Afroz

All Dissertations

Teachers’ self-efficacy in teaching mathematics plays a significant role in students’ success in mathematics (Levine et al., 2010; MacDonald, 2020). Introducing high-quality mathematics instruction in preschool is crucial, as this practice impacts children’s future mathematics achievement (Claessens & Engel, 2013; Braak et al., 2021). Despite having this benefit, children at the preschool level get inadequate mathematics lessons due to the preschool teachers’ uneasiness or discomfort with teaching mathematics (Gerde et al., 2018; Bates et al., 2013). However, this discomfort or uneasiness may arise from teachers’ self-efficacy in teaching mathematics (Copley, 2004). This study investigated the perceived self-efficacy of preschool teachers …

University Of Nebraska At Omaha Commencement: December 2024, University Of Nebraska At Omaha

Commencement Programs

No abstract provided.

New Legal Realism At 20: Rethinking Law In An Era Of Populism And Social Movements, Jeffrey Omari, Pablo Rueda-Saiz, Richard Ashby Wilson

Connecticut Law Review

This Article critically examines the New Legal Realism (NLR) movement on its twentieth anniversary and illuminates its distinctive intellectual contributions. In evaluating NLR’s unique methodological and substantive contributions, we explore the movement's relationship to other interdisciplinary theories and empirical approaches to law. NLR approaches show a commitment to a comparative, crossnational exploration of legal phenomena while allowing for grounded generalizations about the relationship between law and society. NLR approaches embrace a diverse range of methods and emphasize the importance of “looking up, down, and sideways.” Notably, NLR embraces both “top-down” and “bottom-up” methods, providing comprehensive insights into the intricate interactions …

Energy Intensity Convergence Among Chinese Provinces: A Theil Index Decomposition Analysis, Yifan Wang, Wei Li, Nadia Doytch

Ateneo School of Government Publications

China, the world’s largest carbon emitter, has one of the most stringent provincial emissions reduction programs, incorporated into its Five-Year National Plan to reduce carbon emissions. However, the widening energy intensity gap between provinces poses a great challenge for carbon reduction. In this study, we analyze the convergence of Energy intensity (EIC), i.e., the time-dependent decrease of differences among regional energy intensity over time focusing on a data set of 30 Chinese provinces from 2000 to 2015. Our goal is to identify the provinces that are responsible for the observed divergence in energy intensity and identify the factors causing that …

Facial Recognition Technology In The Market: What Consumers Need To Know To Protect Their Rights, Liubov Kirzhakova

UC Law Science and Technology Journal

Facial recognition technology (FRT) has rapidly expanded in consumer products over the last decade, offering convenience, but raising significant privacy concerns. This article examines the implications of FRT on consumer privacy, emphasizing the unique risks associated with biometric data. Unlike other personal data, biometrics are biologically unique and irreplaceable, making unauthorized access and misuse particularly harmful. Despite the growing consumer awareness and concern about data privacy, current legal protections are fragmented and insufficient. This article provides a comprehensive analysis of how FRT is integrated into products and services and highlights the privacy risks associated with each. It reviews existing federal …

Re(De)Fining Patent Eligibility, Lauren Hong

UC Law Science and Technology Journal

The patent system is at the heart of America’s innovation scene, serving as the lifeline for America’s status as an industrial titan as it seeks to inspire inventors worldwide to innovate and discover. The confines of patent-eligible subject matter were set out by Congress through the power vested by the Constitution, and these boundaries have been re(de)fined as the Supreme Court has carved out exceptions to these standards including: laws of nature, abstract ideas, and natural phenomena being excluded from patentability. In response to criticisms of legal uncertainty surrounding patent-eligibility under the current regime, two senators have introduced The Patent …

Designing An Advanced Gui For A Laser Harp, Matthew Moran

2024 Fall Honors Capstone Projects - Archive

This project presents the design and development of a laser harp, an innovative digital instrument that combines music and technology to inspire interest in STEM education. The harp uses laser beams and phototransistors to simulate the strings of a traditional harp, producing sound when the beams are interrupted. The primary focus of the honors section of this work is a custom-built software interface developed with a graphical user interface (GUI) that allows users to easily adjust settings like note range, volume, and the central part of the show, looping notes. The GUI is designed to be intuitive, making it easy …

Conceptual Understanding, Engagement, And Optimal Learning Moments With Problem-Oriented Project Learning In High School Physics, Catherine A. Howell

Dissertations

This research explored the effect of Problem-Oriented Problem Based Learning (POPL) on concept attainment and engagement in a high school physics class. While physics education remains a vital component of STEM education, secondary physics enrollment trails chemistry and biology. Issues contributing to physics’ reputation as a complex subject include prior misconceptions and the formulaic nature of pedagogy. Prior research indicated that active learning can challenge misconceptions and mitigate the sameness of instruction. POPL resides firmly in the active learning methodology of Project-Based Learning (PjBL). This study expanded the research by combining Physics, POPL, concept attainment, multiple components of engagement, and …

Tracking Natural Hazards: Bridging Rain-Triggered Lahar Research And Protective Action Decision Making In Wildland Fire Management, Ashley Bosa

Boise State University Theses and Dissertations

Understanding natural hazards is crucial for mitigating risks, protecting lives and property, and building resilience in communities. By enabling communities to prepare, respond effectively, and take protective action against disasters, the devastating impacts of natural hazards can be significantly reduced. However, transitioning from research to tangible community impact involves a multi-step process that bridges the gap between scientific knowledge and practical application. In this dissertation, I present two seismo-acoustic analyses of multiple rain-triggered lahar events at Volcán de Fuego in Guatemala, a granulometry study that attempts drone imagery analysis for lahar deposits, and a case-study review of the roles of …

Scholarships, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

The Periconceptional, Physical Activity, Environment, Nutrition And Diet (Prepared) Study, Aaliyah Devore

McNair Scholars Research Journal

No abstract provided.

Enhancing Accessibility: Policy Innovations For Lower Limb Prosthetic Users, Hannah Huggans

McNair Scholars Research Journal

No abstract provided.

About The Mcnair Scholars Program, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Using Machine Learning To Improve Confidence In Lung Cancer Diagnosis, Sandra Channeary Khoun

McNair Scholars Research Journal

Health professionals must diagnose correctly to avoid unnecessary costs in care and medicine. Different conditions, come with different treatments. Therefore, it is key to produce the right diagnoses promptly to help treat people appropriately and quickly. As lung cancer is the leading cancer type in the world, it is often diagnosed too late once symptoms appear which becomes difficult to treat at certain stages. In the race against time, recruiting the use of machine learning next to traditional methods of diagnosing will improve the confidence of professionals to predict specific conditions accurately and with speed. For our research, we will …

Assessing The Potential For Soil-Mediated Transmission Of Symbiotic Bacteria In The Leaffooted Bug (Leptoglossus Phyllopus), Armeen Nasir

McNair Scholars Research Journal

Recent evidence suggests insects might indirectly provide symbionts to their offspring by releasing them into the soil via feces. We investigated whether this is occurring in the Eastern leaf-footed bug, Leptoglosuss phyllopus. We hypothesized that if adults release viable symbiont cells into their environment, then nymphs will have a higher survival rate, develop faster, and be larger at adulthood when exposed to soil that has been in contact with adult insects for longer. To measure the rate and whether the bugs acquired Caballeronia from the soil, insect nymphs were exposed to soil that had been exposed to a lab colony …

Identification Of Novel Genes Regulating Caenorhabditis Elegans Morphologically Complex Cellelimination, Brenda Amata

McNair Scholars Research Journal

No abstract provided.

A Survey Of 12 Exoplanet-Star Systems And Their Exomoon Candidates, Connor Jackson

McNair Scholars Research Journal

No abstract provided.

Investing The Therapeutic Possibilities Of Glassblowing, Isabella Posca

McNair Scholars Research Journal

No abstract provided.

Q-Learning In Starclash, Hanani Pankaj

2024 Fall Honors Capstone Projects - Archive

Developers create video games using Artificial Intelligence (AI) agents to provide a challenging opponent in a single-player game. However, studies show that when Reinforcement Learning (RL) agents are used, they outperform the AI agents. This project sought to test how RL agents would perform in StarClash, a video game without RL agents, using Q-Learning. This was done by creating two Q-Learning agents: a Simple agent and an Advanced (more complex) agent. These two agents were tested against each other and a Random AI agent. As expected, the Advanced agent did better than the Simple agent but only performed slightly better, …

Pixel: Ai Chatbot For Clear And Effective Senior Design Assistance, Asmin Pothula

2024 Fall Honors Capstone Projects - Archive

This research explores the development of an AI-driven chatbot named Pixel, specifically designed to assist Computer Science and Engineering Senior Design students by providing immediate, clear, and accurate responses to project-related queries. While my Senior Design project focuses on developing a "Senior Design Project Management Tool," my honors capstone project centers on developing Pixel and integrating it into both the project management tool and the CSE Senior Design Knowledge Base. Pixel leverages this knowledge base to offer guidance on tasks such as using lab equipment, performing technical procedures, and troubleshooting common issues, ensuring that students have swift access to relevant …

Characterizing 2d Materials Using Positron Impact Induced Electron Spectroscopy And Development Of A Novel Thin Film Zno Based Piezo-Photonic Detector For Cryogenic And Mems Applications, Pratyanik Sau

2024 Fall Honors Capstone Projects - Archive

Surface analytical techniques are essential for engineering nano-detectors allowing characterization of their chemical composition, electromechanical properties, and physical structure. In the first chapter, the positron impact-induced secondary electron (PIISE) energy spectra and yield from single-layer graphene (SLG) and multi-layer graphene (MLG) grown on a polycrystalline Cu substrate have been presented. In the second chapter, an extensive catalog of Positron Induced Auger Spectra is presented to aid in the analysis of elemental composition of various materials. Additionally, in the third chapter, a novel detection scheme utilizing the piezo-pyroelectric properties of Zinc Oxide (ZnO) thin films have been demonstrated for its application …

Forecasting Nigerian Stock Market Volatilities Using Bagging And Ensemble Averaging, Godknows Isenah

CBN Journal of Applied Statistics (JAS)

This paper using bagged GARCH-type model, with ensemble averaging estimators models and compares the forecast performances to those of some classical GARCH type models. Using Mean Absolute Forecast Error (MAFE) and Root Mean Squared Forecast Error (RMSFE) as forecast-error measures, the results shows bagging ensemble based methods to out-perform the alternative volatility models. The study recommended that volatility estimates obtained via bagged ensemble methods should be used as inputs to facilitate financial operations such as derivatives pricing, risk hedging, computations of Value-at-Risk (VaR) estimates, and for financial decision making.

Exchange Rate Harmonization Policy And Naira Exchange Rate Trajectories: A Scenario-Based Modelling For Policy Evaluation, Ibrahim S. Alley

CBN Journal of Applied Statistics (JAS)

This study employs Random Forest Regression to forecast the Naira/USD exchange rate trajectories after the implementation of the 2023 exchange rate harmonization policy under various scenarios. The forecast was implemented within a policy modeling and evaluation framework that leverages the Seasonal Autoregressive Integrated Moving Average model to predict exchange rate macro-drivers from historical data for the period 2008Q1-2022Q4. The study provides evidence that the harmonization policy would lead to appreciation of the Naira over the first forecast horizon (2023-2026) under specific scenarios. The effectiveness of the policy could further be enhanced when strategically combined with other macroeconomic policies such as …

A Machine Learning Approach To Multifactorial Modeling Of Episodic Memory Performance, Evan Fletcher, Marianne Chanti-Ketterl, Emily Hokett, Yi Lor, Umesh Venkatesan, Paola Gilsanz, Rachel Whitmer, Ruijia Chen, Kristen George, Zvinka Zlatar

Moss-Magee Rehabilitation Papers

BACKGROUND: Neurocognitive health is influenced by multiple modifiable and non-modifiable lifestyle factors. Machine learning tools offer a promising approach to better understand complex models of cognitive function. We used extreme gradient boosting (XG Boost), an algorithm of decision-tree modeling, to analyze the association between 15 late-life lifestyle and demographic factors with episodic memory performance. METHOD: Our dataset consisted of 2247 participants from the KHANDLE and STAR cohorts. Participants included 841 men and 1406 women, an ethnoracial diversity of 413 Asian, 987 Black, 349 Latinx, and 496 White adults with age range 54-90 (mean = 74). XG Boost models of continuous …

Preparing Effective Stem Communicators Through Focused Interventions, Sondra M. Miller, Carl F. Siebert, Lindsey Wiggins, Katherine L. Wright

University of South Florida (USF) M3 Publishing

Advancement of scientific knowledge is dependent on effective communication. It requires engineers and scientists to engage in well-grounded argumentation to establish and justify their claims. Educators must move beyond assignments that simply summarize or replicate established findings and begin to engage students in argumentation. This study had undergraduate students work in teams to identify topics for further scientific inquiry. They were tasked with making pitches as a tool for recruiting other students to their teams. It was realized that the engineering and computer science students involved with this project had not yet developed sufficient argumentation skills, which led a team …

Proceedings Of The Global Conference On Education And Research: Volume 5, Waynne B. James, Muhittin Cavusoglu, Cihan Cobanoglu

University of South Florida (USF) M3 Publishing

This is the fifth volume of the Global Conference on Education and Research Proceedings Series.

ISSN: 2572-6374

The Evolving Role Of Copyright Law In The Age Of Ai-Generated Works, James Hutson

Faculty Scholarship

Objective: to identify the prospects and directions of copyright law development associated with the increasing use of generative artificial intelligence.

Methods: the study is based on the formal-legal, comparative, historical methods, doctrinal analysis, legal forecasting and modeling.

Results:the article states that the emergence of generative artificial intelligence makes one rethink the processes occurring in the field of creative activity and the traditional copyright system, which becomes inadequate to modern realities. The author substantiates the necessity of legal reassessment of copyright and emphasizes the urgent need for updated means of copyright protection. Unlike previous digital tools, which expanded …

Buried Pipeline Performance Under Surface Loading Using Finite Eelement Analyses And Innovative Soil Box Testing Methodologies., Adam Gabreil Cantrell

Electronic Theses and Dissertations

Buried pipelines are used extensively in the utility industry to deliver natural gas to customers. Reasonable estimates indicated that there are approximately 26,000,000 miles of pipeline, of various diameters throughout the United States (PHMSA, 2018). For protection, and to relieve urban congestion, these pipelines are nearly always buried under ground. After the pipes are installed, however, there is little opportunity for inspection, or for supplemental protection, when needed. Thus, to reduce the likelihood of rupturing a natural gas pipeline, design guidelines that ensure consistent, minimum protection of these utilities, have been developed and implemented. Pipeline design and installation regulations for …

Exploratory Learning In Two Modalities: Tabular Vs Graphical., Lianda Velic

Electronic Theses and Dissertations

In traditional educational settings, an instructor delivers a lecture prior to providing students a practice activity. Exploratory learning reverses this order to encourage active learning and engagement, typically improving learning outcomes. However, more research is needed in order to determine how to optimally design exploratory learning materials, and how differences in such design impact learning processes and outcomes. The current study investigated the impact of instructional order and activity modality type (tabular or graphical) on learning outcomes. Undergraduate students (N=252) were taught the statistical concept of consistency and the formula to compute standard deviation. In the instruct-first condition, …

Greek Key-Inspired Fractal Metamaterials With Enhanced Flexibility And Energy Absorption., Zhennan Zhang

Electronic Theses and Dissertations

Architected materials with intricate three-dimensional (3D) geometries offer unique properties and functionalities but face challenges in manufacturing costs and complexity. This research explores the integration of simple 2D Greek Key-inspired lattices into fractal designs to achieve exceptional mechanical performance. Using 3D printing and kerfing, these fractal structures demonstrate enhanced flexibility and energy absorption capabilities. Through three-point bending and in-plane tensile tests, the 2D fractal lattices exhibited a 600-fold reduction in bending force and a tensile stretch capacity of up to 520%, significantly outperforming brittle parent materials. Out-of-plane compression tests revealed a five-fold increase in energy absorption compared to honeycomb structures, …