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Students’ Ability To Transfer Organic Chemistry Concepts To Metabolic Reactions, Timothy Jones Aug 2025

Students’ Ability To Transfer Organic Chemistry Concepts To Metabolic Reactions, Timothy Jones

Dissertations

Bridging foundational knowledge learned in prerequisite courses like organic chemistry to higher-level courses like biochemistry represents a significant challenge in science education, often hindering deeper student understanding and future knowledge application. The purpose of this dissertation was to investigate students’ ability to transfer and apply their understanding of organic chemistry when reasoning through metabolic reaction problems often seen in biochemistry courses. The research questions guiding the project were two-fold:

Q1 What are the organic chemistry reaction concepts deemed foundational to understanding metabolism by experts in the field?

Q2 What is the student’s ability to transfer knowledge of organic chemistry reactions …


A Formative Evaluation Of A Combined Reading And Emotional-Behavioral Intervention, Katlyn Fowler Frey Aug 2025

A Formative Evaluation Of A Combined Reading And Emotional-Behavioral Intervention, Katlyn Fowler Frey

Dissertations

The current study is a formative evaluation of an intervention that combined reading instruction with exposure therapy strategies, with the goal of teaching avoidant readers how to engage with learning through their own volition. The purpose of the current study was to assess the potential efficacy of a reading intervention with an emotional-behavioral adaptation on reading and emotional-behavioral outcomes. Specifically, the researcher sought to determine whether the adapted intervention could improve readers’ reading achievement, reading self-efficacy, and reading-related emotions at a faster rate than treatment as usual. Additionally, teachers of the participating readers were surveyed for social validity purposes. The …


Enhancing Credit Path Planning With Llm-Based Multi-Agent Systems, Sahar Yarmohammadtoosky Aug 2025

Enhancing Credit Path Planning With Llm-Based Multi-Agent Systems, Sahar Yarmohammadtoosky

Dissertations

This work explores applying Multi-Agent (MA) Large Language Models (LLMs) to enhance credit card management, an underexplored area for their multi-step reasoning capabilities. Focusing on Equifax’s Optimal Path™ model [1]—a personalized solution for credit score optimization—the study addresses two key challenges: first, designing a natural language interface for financial credit models to improve accessibility and aid customer decision-making, and second, enhancing the reliability and real-world applicability of complex financial models prone to generating invalid or unfeasible recommendations caused by a lack of practical interpretability and susceptibility to edge cases. To tackle these, we propose and evaluate various MA designs, including …


Radiation Induced Vaporization Of Exoskeletal Droplets As Potential X-Ray Acoustic Contrast Agents, Mohamed E. Eldib, William N. Frantz, Mark A. Borden, Ryan Lanning, Moyed Miften, David H. Thomas Aug 2025

Radiation Induced Vaporization Of Exoskeletal Droplets As Potential X-Ray Acoustic Contrast Agents, Mohamed E. Eldib, William N. Frantz, Mark A. Borden, Ryan Lanning, Moyed Miften, David H. Thomas

Department of Radiation Oncology Faculty Papers

BACKGROUND: In vivo dosimetry is a crucial component of ensuring accurate and safe radiation therapy (RT) delivery, but many existing techniques face challenges such as low signal-to-noise ratio (SNR), which can limit their clinical applicability.

PURPOSE: In this study, we investigate a novel contrast agent sensitive to megavoltage (MV) radiation in vitro, ultimately aiming for in vivo dosimetry.

METHODS: Vaporizable exoskeletal droplets were engineered to phase-change into ultrasound-responsive microbubbles upon exposure to MV photon radiation. These droplets comprised a hydrocarbon (HC) exoskeleton doped with gold nanoparticles (GNPs) surrounding a liquid fluorocarbon (FC) core. Radiation absorbed by the GNPs induced localized …


Toward Explainable Machine Learning Methods For Stroke Patient Outcomes In Tennessee, Monireh Rahmati Aug 2025

Toward Explainable Machine Learning Methods For Stroke Patient Outcomes In Tennessee, Monireh Rahmati

Masters Theses and Doctoral Dissertations

Stroke is one of the leading causes of long-term disability and death in the United States. Stroke patients often face severe health consequences, significantly impacting their lives and placing a substantial financial burden on their families and the wider healthcare system. Therefore, reliable predictions of various patient outcomes, such as early hospital readmission, length of stay (LOS) in the hospital, and risk of mortality, can help patients and healthcare providers in various aspects. Furthermore, successful modeling of such phenomena can help identify the influential factors affecting the patient outcomes, and, by this, improve the quality of care for patients. In …


Decision-Making Methods Under Uncertainty In Discrete Multi-Objective Optimization, Chathuri Malee Aththanayake Aug 2025

Decision-Making Methods Under Uncertainty In Discrete Multi-Objective Optimization, Chathuri Malee Aththanayake

Masters Theses and Doctoral Dissertations

This dissertation investigates decision-making methods in Uncertain Discrete Multi-objective Optimization Problems (UDMOPs), where uncertainty arises in both objective function and constraint coefficients. The study pursues three main goals: (1) constructing sensitivity regions in the objective space to handle objective-wise uncertainty, (2) constructing sensitivity regions in the decision space to handle feasibility uncertainties, and (3) developing methods to sort, group, and prune uncertain solutions based on their similarity. Each goal proposes a method to explore uncertain solutions and quantify their level of uncertainty. Based on this, solutions are classified as low and high-risk solutions, according to the Decision-Maker (DM)'s preferences and …


Social Connections And Capital Allocation In Multidivisional Firms, Tomas Jandik, Tatiana Salikhova Aug 2025

Social Connections And Capital Allocation In Multidivisional Firms, Tomas Jandik, Tatiana Salikhova

Finance Faculty Publications and Presentations

The inefficiency of internal capital allocation is considered one source of losses due to diversification. We use a hand-collected sample of divisional managers in S&P 500 industrial conglomerates and find that social connections among divisional managers are associated with capital allocation improvements. Segments' investments become more sensitive to segments' growth opportunities when these segments are led by better-connected managers. For connected managers, the probability of being assigned to a segment with low investment opportunities increases significantly with investment opportunities of connected segments. Firm-level connectedness is associated with higher firm values primarily in firms with high diversity in segment investment opportunities, …


Evaluation Of The Zanesville-Muskingum County Ohio’S Mosquito And Tick Disease Vector Control Program, Samantha Wantz Aug 2025

Evaluation Of The Zanesville-Muskingum County Ohio’S Mosquito And Tick Disease Vector Control Program, Samantha Wantz

Capstone Experience: Master of Public Health

This project aimed to evaluate the Zanesville – Muskingum County Health Department’s (ZMCHD) Vector Control Program based on performance measures, program indicators, and customer satisfaction. A secondary goal of the project is to evaluate and revise the existing policies and procedures of the program in regards specifically to the safety of the intern. Based on information from the Ohio Department of Health infectious disease dashboard, in the last 10 years (2014-2024) Muskingum County has reported 12 total cases of La Crosse virus, one case of West Nile Virus, and one case of Malaria (Ohio Department of Health, 2024a). ZMCHD has …


Constitutional Futurism As Pedagogy, Jeremiah Chin Aug 2025

Constitutional Futurism As Pedagogy, Jeremiah Chin

Articles

Constitutional Law has transformed from a course on history to a discussion of current events. Cases like Students for Fair Admissions v. Harvard College, Dobbs v. Jackson Women’s Health Organization, and Loper Bright Enterprises v. Raimondo reveal that the study of constitutional law is not a static, or even linear, discussion of constitutional text and history. Law is a shifting, changing enterprise that reflects social constructions of power, authority, and identity. How do we teach, learn, and understand constitutional law that is so laden with history, riddled with theories of consistency and adherence to precedent, but ultimately subject …


Pierce County Juvenile Justice Assessment, Alya Azman, Kathryn Cunningham, Anna Duncan, David M. N. Garavito, Noah Gubner, Jean Hernandez, Robyn Metcalfe, Rachel Porter, Santiago Pedraza Arenas, Meli Sameh, Sarah Cusworth Walker Aug 2025

Pierce County Juvenile Justice Assessment, Alya Azman, Kathryn Cunningham, Anna Duncan, David M. N. Garavito, Noah Gubner, Jean Hernandez, Robyn Metcalfe, Rachel Porter, Santiago Pedraza Arenas, Meli Sameh, Sarah Cusworth Walker

Articles

Following a 2024 County Council request, the Pierce County Performance Audit Committee contracted with the CoLab for Community and Behavioral Health Policy at the University of Washington to conduct an audit of the county’s juvenile justice system against national and research best practice. The assessment is intended to guide future county investments in preventing and responding to youth crime, particularly youth violence, and to inform current policy discussions around the need to invest significant county funds into a renovation or reenvisioning of the current Juvenile Justice Court and Detention Center (Remann Hall).


Evaluating Tax Preparers’ Perception Of The Tax Cuts And Jobs Act (Tcja) Through The Lens Of The Tax Misperception Theory, Cari Valita Barnes Aug 2025

Evaluating Tax Preparers’ Perception Of The Tax Cuts And Jobs Act (Tcja) Through The Lens Of The Tax Misperception Theory, Cari Valita Barnes

All Dissertations

The Tax Cuts and Jobs Act (TCJA) of 2017 represented one of the most extensive overhauls of the U.S. tax code in decades. While it is credited with reducing statutory tax burdens, the TCJA also introduced substantial complexity, which shaped tax preparers’ behavior and reshaped the tax preparation industry. Designed to stimulate economic growth through broad changes to both corporate and individual taxation, the TCJA’s impact on the profession cannot be understood without considering how preparers perceived the legislation. This study, therefore, evaluated the effects of the TCJA on tax preparers’ perceptions using the Tax Misperception Theory.

Results from Tobit …


Vision To Reality: Groundbreaking Impacts Of Artificial Intelligence On Key Performance Indicators In The Built Environment, Christopher Hamilton Sr Aug 2025

Vision To Reality: Groundbreaking Impacts Of Artificial Intelligence On Key Performance Indicators In The Built Environment, Christopher Hamilton Sr

All Dissertations

As construction transitions into an era shaped by Industry 4.0 and data-driven decision-making, Artificial Intelligence (AI) emerges as a transformative tool with the potential to enhance key performance indicators (KPIs) such as schedule adherence, cost management, quality assurance, safety, resource allocation, and customer satisfaction. However, few studies have empirically assessed the direct influence of AI adoption on operational performance or examined the innovation diffusion factors that facilitate its integration. This gap underscores the need to align AI initiatives with broader organizational strategies, ensuring that technological adoption translates into measurable improvements in construction performance.

This quantitative study investigated two core research …


Vlsi Chip Design And Fabrication For Solar Panel Diagnosis System, Abhitej Divi Aug 2025

Vlsi Chip Design And Fabrication For Solar Panel Diagnosis System, Abhitej Divi

All Dissertations

Solar photovoltaic panels (PV) are a key clean energy solution to combat global warming, with global capacity now exceeding 714 GW due to rapid technological and policy advancements in solar panels (SP). However, the efficiency and service life of SPs remain limited due to the lack of advanced fault detection systems, as SPs are prone to short circuits, open circuits, and power degradation.

This work presents a novel design of a fault-detecting very large-scale integrated circuit (VLSI), simulation results, and the complete chip layout prepared for fabrication using TSMC 180 nm CMOS technology with λ = 90 nm. SP’s diagnosis …


Groundwater-Dependent Ecosystems In Southeastern Utah: An Integrated Analysis Of Hydrology, Ecology, And Landscape Change, Colten Lay Aug 2025

Groundwater-Dependent Ecosystems In Southeastern Utah: An Integrated Analysis Of Hydrology, Ecology, And Landscape Change, Colten Lay

All Graduate Reports and Creative Projects, Fall 2023 to Present

In Southeastern Utah, springs play a critical role in sustaining groundwater-dependent ecosystems (GDEs) in a semi-arid environment. However, they remain understudied and face growing threats from climate change, land use modifications, and hydrologic alterations. This study addresses knowledge gaps in spring occurrence, hydrologic function, and ecological condition by integrating field surveys, remote sensing, and geospatial analysis across multiple spatial scales. It provides a comprehensive assessment of spring hydrology, water quality, and ecological conditions using field surveys, remote sensing, and GIS analysis to establish a foundational baseline of GDE resources in the region. I applied a multi-scale monitoring approach across the …


Selected Projects In Scenic Design And Technical Direction, Ky Trupp Aug 2025

Selected Projects In Scenic Design And Technical Direction, Ky Trupp

All Graduate Reports and Creative Projects, Fall 2023 to Present

A selection of projects in scenic design and technical direction produced by Utah State Theater involving Ky Trupp and others. Each chapter studies the design process and production process of three individual shows where Ky was the Scenic Designer or Technical Director.


Warming Of The Southern Ocean During The Paleocene-Eocene Thermal Maximum: Inferences From Foraminifera At Site U1580, Samina Anee Aug 2025

Warming Of The Southern Ocean During The Paleocene-Eocene Thermal Maximum: Inferences From Foraminifera At Site U1580, Samina Anee

All Graduate Reports and Creative Projects, Fall 2023 to Present

The Paleocene-Eocene Thermal Maximum (PETM, ~56 million years ago) represents an ancient episode of rapid global warming, offering critical insights into climate dynamics and the Earth's response to increased greenhouse gases. This project aims to quantify the magnitude of warming across the PETM at newly recovered IODP Site U1580 (Agulhas Plateau, Southern Ocean) through the analysis of Mg/Ca and δ18O ratios of planktic foraminifera. Understanding the extent of warming at Site U1580 is crucial for comprehending past climate variability and improving future climate predictions. Site U1580 is particularly well-suited to foraminiferal geochemistry because of high carbonate content throughout …


Development And Application Of Novel Apparatus For Ocean Spray In Turbulent Atmospheres, Alicyn S. Koldewyn Aug 2025

Development And Application Of Novel Apparatus For Ocean Spray In Turbulent Atmospheres, Alicyn S. Koldewyn

All Graduate Reports and Creative Projects, Fall 2023 to Present

Ocean spray droplets can have significant effects including reducing surface heating from the sun, degrading air quality, and intensifying tropical cyclones. However, quantifying these effects has been challenging due to the multiscale, chaotic nature of wave breaking and turbulent flow. This research presents the development of a novel apparatus designed to combine bubble column droplet generation with synthetic jet actuators for turbulence generation. The purpose is to demonstrate reliable bubble formation and droplet generation, air turbulence effect on droplet dynamics, and quantitative measurement and analysis of these effects. The primary goals of the apparatus include optical accessibility for high-resolution imaging, …


Validation Of Head Above And Head Submerged Hydrostatic Weighing Equations And Air Displacement Plethysmography, Axel M. Miller Aug 2025

Validation Of Head Above And Head Submerged Hydrostatic Weighing Equations And Air Displacement Plethysmography, Axel M. Miller

All Graduate Reports and Creative Projects, Fall 2023 to Present

Traditional hydrostatic weighing (HW) involves full body submersion at residual volume (RV), which may be uncomfortable. Thus, the purpose of this study was to investigate a more comfortable way to perform this method. HW with the head above water (HWHAW) was compared to the traditional method of HW with head below water (HWHBW) and to another method that also measures density by displacement, air displacement plethysmography (ADP). Equivalence was tested by comparing the body fat percentage (BF%), body volume (Vb), and body density (Db) of 27 subjects (15 M, 12 F) between the three methods. Results …


Dream Pilot Project: Analysis Of Groundwater Development At Six Villages In Ethiopia, Lindsay K. Gordon Aug 2025

Dream Pilot Project: Analysis Of Groundwater Development At Six Villages In Ethiopia, Lindsay K. Gordon

All Graduate Reports and Creative Projects, Fall 2023 to Present

This study presents a hydrogeologic assessment of the Distributed Renewable Energy Agriculture Modalities (DREAM) pilot project, an ongoing groundwater development initiative in rural Ethiopia. This project integrates solar-powered groundwater infrastructure across six villages to improve water access, agricultural productivity, and economic stability.

Fourteen production wells were installed at Murche, four at Dalle, and additional test wells at Murche, Dalle, Chefe Kora, and Huluku. Transmissivity values and the number of wells at Murche suggest that local water needs are currently being met. In contrast, fewer wells were drilled at Dalle. This reflects the high cost of well construction relative to yield, …


The Final Girl Without The Slasher: Final Girls, Gender, And Community In Psych, Cassidy Crosby Aug 2025

The Final Girl Without The Slasher: Final Girls, Gender, And Community In Psych, Cassidy Crosby

All Graduate Reports and Creative Projects, Fall 2023 to Present

This thesis focuses on the “Final Girl” trope, a hallmark of slasher films of the 1970s and 1980s, as it appears in detective procedural television show Psych to analyze what changes in the trope’s usage says about broader changes in American culture. I engage with two key episodes, “Scary Sherry: Bianca’s Toast” and “Tuesday the 17th,” which contain the program’s most direct engagements with the Final Girl trope. Ultimately, I conclude that Psych rejects the hyperindividualism embedded in the Final Girl and some of the trope’s more binary gender norms, while also failing to interrogate other aspects of …


Living Pantry: Affordable Housing And Traditional Agriculture, Alanna S. Nafziger Aug 2025

Living Pantry: Affordable Housing And Traditional Agriculture, Alanna S. Nafziger

All Graduate Reports and Creative Projects, Fall 2023 to Present

Utah is a beautiful and unique landscape with a vibrant food history that is, as I write this in 2025, undergoing some dramatic changes in both climate and population.

The population is projected to almost double by 2065, increasing by 2.8 million people over a 50-year period. Cache Valley, in the Northern part of the state, is projected to increase its population by 93% in that same time frame (Perlich et. al., 2017).

This population growth represents a huge increase in demand for housing, but while demand grows, the market becomes less affordable, with the median home price 6.26 times …


Effective Transformer Networks For Undersampled Magnetic Resonance Image Reconstruction, Tahsin Rahman Aug 2025

Effective Transformer Networks For Undersampled Magnetic Resonance Image Reconstruction, Tahsin Rahman

Open Access Theses & Dissertations

The proliferation of data-driven tools for solving problems in every possible domain, coupled with rapid advances in computing technology, has led to an arms race of AI development and application research in industry and academia. One field of research that stands to gain immeasurably from this revolution is medical imaging. It is a critical part of modern diagnostics, and advancements in this area can directly benefit the average person by making healthcare more accessible, accurate, and affordable. Breakthroughs in mainstream image processing and computer vision have long fueled development in medical imaging, and it is now common to see cutting …


Experimental Investigation Of Photovoltaic Soiling Losses And Aerosol Absorption And Scattering Related To Dust In The Chihuahuan Desert Region, German Rodriguez Ortiz Aug 2025

Experimental Investigation Of Photovoltaic Soiling Losses And Aerosol Absorption And Scattering Related To Dust In The Chihuahuan Desert Region, German Rodriguez Ortiz

Open Access Theses & Dissertations

This dissertation explores the interaction between mineral dust and solar radiation in the Chihuahuan Desert, one of the dustiest areas in North America. I focused on two main aspects: (1) the characterization of atmospheric aerosol optical properties during dust events, and (2) the effects of dust deposition (soiling) on the performance of photovoltaic (PV) modules. I characterized the intrinsic optical properties of aerosols in El Paso, Texas during the peak of the 2021 dust season. Ground-level, high-resolution optical and meteorological data were collected at the Black and Brown Carbon (BC^2) study site, whereas particulate matter and additional meteorological parameters were …


Model-Based Systems Engineering For Aerospace Applications: Strategic Requirements Prioritization In Complex Adaptive Systems And Digital Integration, Iqtiar Md Siddique Aug 2025

Model-Based Systems Engineering For Aerospace Applications: Strategic Requirements Prioritization In Complex Adaptive Systems And Digital Integration, Iqtiar Md Siddique

Open Access Theses & Dissertations

Ineffective systems engineering practices continue to jeopardize aerospace missions, resulting in multi-billion-dollar losses, delays, and fragmented development outcomes. As complexity intensifies and timelines shrink, conventional document-based methods increasingly fail to support early validation, cross-domain traceability, and synchronized tool usage. This research presents an integrated approach that addresses three critical gaps: synchronizing executable and traceable MBSE models across structural, behavioral, and requirements domains; applying scalable requirements prioritization techniques tailored for Complex Adaptive Systems; and establishing automated simulation feedback loops through digital toolchain integration. Central to this strategy is the Digital Trinity, which connects system models, simulations, and lifecycle data through a …


Examining The Development Of Collective Classroom Efficacy At The Secondary Level, Bradley K. Dutson Aug 2025

Examining The Development Of Collective Classroom Efficacy At The Secondary Level, Bradley K. Dutson

All Graduate Theses and Dissertations, Fall 2023 to Present

How can educators develop cohesive and productive learning communities at the secondary level? Prior research has investigated how classrooms develop collective classroom efficacy (CCE) or the shared belief that, as a classroom, they can achieve their learning goals together as a community. Previous studies suggest that CCE at the elementary level is developed with a teacher acting in the role of a community organizer. The teacher employs social and academic practices which incorporate the use of relevance, relationship, and responsibility. These help to establish four key elements of developing CCE which include: 1) a positive classroom environment, (2) persistence and …


The Validation Of The Patient’S Endorsement Of The Biopsychosocial Model Of Chronic Pain (Peb) Scale In Young Adults, Mathias M. Sanyer Aug 2025

The Validation Of The Patient’S Endorsement Of The Biopsychosocial Model Of Chronic Pain (Peb) Scale In Young Adults, Mathias M. Sanyer

All Graduate Theses and Dissertations, Fall 2023 to Present

This research examined a new tool designed to measure how patients view their chronic pain. While healthcare providers increasingly recognize that chronic pain involves biological, psychological, and social factors (a "biopsychosocial approach"), no previous tool existed to assess whether patients share this perspective. This study tested the reliability and effectiveness of the Patient's Endorsement of a Biopsychosocial Model of Chronic Pain (PEB) Scale in young adults with chronic pain. Results confirmed the scale accurately measures a single, consistent concept and correlates with patients' willingness to consider new pain management approaches. Unlike in older adults, the scale didn't predict active maintenance …


An Evaluation Of Interactive Computerized Training To Teach Preservice Speech Language Pathologists To Implement Brief Multiple Stimulus Without Replacement Preference Assessments, Mattie L. Mecham Aug 2025

An Evaluation Of Interactive Computerized Training To Teach Preservice Speech Language Pathologists To Implement Brief Multiple Stimulus Without Replacement Preference Assessments, Mattie L. Mecham

All Graduate Theses and Dissertations, Fall 2023 to Present

Positive reinforcement is often used when teaching new skills. When working with individuals with developmental disabilities, it can be difficult to determine reinforcing items. Preference assessments can be used to identify items that may function as reinforcers. A multiple stimulus without replacement preference assessment (MSWO) produces a ranking of preferred items and can be conducted quickly. Researchers have utilized interactive computerized training (ICT) to teach behavior analytic skills and procedures. The present investigation aimed to extend previous MSWO training and ICT research by developing and evaluating the effects of an MSWO ICT implemented with speech language pathology graduate students. The …


Exploring Methods For Quantifying Uncertainty In Neural Network-Based Turbulence Closures, Cody Grogan Aug 2025

Exploring Methods For Quantifying Uncertainty In Neural Network-Based Turbulence Closures, Cody Grogan

All Graduate Theses and Dissertations, Fall 2023 to Present

Machine Learning (ML) is a very promising field for data-driven modeling of different phenomena. In the field of Computational Fluid Dynamics (CFD), ML is an enticing alternative to traditional methods to improve the accuracy and computational efficiency of simulations. However, many ML models, like Neural Networks, don’t quantify their uncertainty or indicate their confidence in a prediction to those who wish to use them. This is especially important because the use of inaccurate ML predictions in a CFD simulation can greatly impact the validity of a simulation. However, with uncertainty quantification, an ML model can indicate to a modeler the …


Evaluating Uplift At The Leading Edge Of The Yellowstone Hotspot - A Study Of The Shoshone River Drainage, Emma Tombaugh Aug 2025

Evaluating Uplift At The Leading Edge Of The Yellowstone Hotspot - A Study Of The Shoshone River Drainage, Emma Tombaugh

All Graduate Theses and Dissertations, Fall 2023 to Present

The stationary mantle plume (or hotspot) underlying the Yellowstone region has caused parts of the surrounding landscape to rise as the continental plate migrates over it. However, scientists do not fully agree on the spatial pattern of this uplift and few measurements of the landscape have been made to provide estimates of uplift rates. To better understand uplift patterns and rates, this study examines the Shoshone River, which flows across the predicted zone of highest uplift at the northeastern, leading edge of the hotspot. Digital-terrain analysis is used to measure channel steepness and field and imagery approaches are used to …


Efficacy And Social Validity Of A Modified Good Behavior Game, Milad Najafichaghabouri Aug 2025

Efficacy And Social Validity Of A Modified Good Behavior Game, Milad Najafichaghabouri

All Graduate Theses and Dissertations, Fall 2023 to Present

Teachers regularly face challenging behavior from students in their classrooms. Research shows that the good behavior game (GBG) is a strategy teachers can use in their classrooms to improve student behavior. However, in practice, very few teachers choose to use this strategy in their classrooms. One reason why teachers may not use this intervention regularly is that they find some parts of the intervention to be difficult to implement in the long-term. The purpose of this study was to modify the procedures of the GBG to reduce implementation effort for teachers and assess if the intervention continues to be effective. …