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Exploring The Assembly Of Soluble Triphenylamine Bis-Urea Macrocycles; Synthesis Of Nsc243928 Derivatives For Triple-Negative Breast Cancer Treatment, Rahul Prakash Oct 2023

Exploring The Assembly Of Soluble Triphenylamine Bis-Urea Macrocycles; Synthesis Of Nsc243928 Derivatives For Triple-Negative Breast Cancer Treatment, Rahul Prakash

Theses and Dissertations

This dissertation is divided into two topics: I. Supramolecular polymerization of triphenylamine (TPA) bis-urea macrocycle behavior in solution, and II. Synthesis of fluorophore appended and biotinylated derivatives of NSC243928 for the treatment of triple-negative breast cancer. Supramolecular polymers are of interest due to their self-healing and stimuli responsiveness. Chapter 1 gives a brief overview of the importance of self-assembly to construct ordered structures from smaller building blocks, highlighting the mechanisms of self-assembly to form supramolecular polymers. The bis-urea macrocycle assembly unit is introduced and its assembly into tubular structures and crystals is highlighted, which are used as a control for …

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Polybenzimidazole Membranes For Electrochemical Applications With Harsh Operating Conditions, Kris Likit-Anurak Oct 2023

Polybenzimidazole Membranes For Electrochemical Applications With Harsh Operating Conditions, Kris Likit-Anurak

Theses and Dissertations

Polybenzimidazole (PBI) membranes are high temperature proton exchange membranes (PEMs) which have advantages such as being able to operate in high temperatures, strong acid environments, and have no need for external humidity during operation. PBI membranes have been demonstrated to work effectively in multiple electrochemical devices, including fuel cells, hydrogen separation pumps, redox flow batteries, and a hybrid sulfur electrolyzer. In this work, para-PBI and densified para-PBI membrane have been used to improve electrochemical performance in harsh operating conditions that are both high temperature (≥120 ̊C) and high acid concentration (≥ 5M). First, we demonstrated the use of para-PBI membranes …

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Probabilistic Cable Aging Diagnosis And Prognosis With Reflectometry And Capacitance Methods, Xuan Wang Oct 2023

Probabilistic Cable Aging Diagnosis And Prognosis With Reflectometry And Capacitance Methods, Xuan Wang

Theses and Dissertations

Safe and reliable operation of power plants and power transmission are critical to economy and society. Cables in power generation and transmission are subject to various thermal, chemical, and mechanical stresses, which generally lead to aging and degradation of cable insulation. It is reported that some cables with a projected lifetime of 40 years need to be replaced in 10-15 years. Poorly maintained aged cables can adversely affect power delivery and lead to catastrophic events, such as blackout, fires, and loss of lives. The current research on cable is mainly focused on the detection and localization of hard faults, which …

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Structural, Functional And Biochemical Studies To Elucidate The Molecular Basis Of Xenobiotic Metabolism Of Tetranychus Uritcae, A Major Agricultural Pest, Ricardo Hernandez Arriaza Oct 2023

Structural, Functional And Biochemical Studies To Elucidate The Molecular Basis Of Xenobiotic Metabolism Of Tetranychus Uritcae, A Major Agricultural Pest, Ricardo Hernandez Arriaza

Theses and Dissertations

The two-spotted spider mite, Tetranychus urticae, is a major cosmopolitan pest that feeds on more than 1,100 plant species, including 150 crops. Such a wide host range indicates this mite’s unparalleled xenobiotic responsiveness that is also coincident with their ability to rapidly develop resistance to pesticides. An unprecedently large detoxifying machinery is one of the main biological traits responsible for their extraordinary adaptation potential and devastating effect on crops. Availability of the whole genome sequence revealed expansions in all major detoxifying families and demonstrated that this genome has been enriched by horizontally transferred genes from bacteria and fungi. Motivated by …

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Recovering Lost Exposure From The Majorana Demonstrator And Testing Data Selection Assumptions, Thomas Lannen Oct 2023

Recovering Lost Exposure From The Majorana Demonstrator And Testing Data Selection Assumptions, Thomas Lannen

Theses and Dissertations

The Majorana Demonstrator recently concluded its search for neutrinoless double beta decay using an array of up to 40.4kg of germanium detectors, 27kg of which were enriched in 76Ge and housed inside a copper and lead compact shield located at the 4850 foot level in a clean room in the Davis Campus of the Sanford Underground Research Facility (SURF) in Lead, South Dakota. This search proceeded from June 26, 2015 until March 3, 2021 and 64.5 kg yr of enriched active exposure was acquired while achieving a world leading energy resolution of 0.12% FWHM at 2039 keV, one of …

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Real-Time Edge Computing For Autonomous Systems, Junlin Ou Oct 2023

Real-Time Edge Computing For Autonomous Systems, Junlin Ou

Theses and Dissertations

This research presents systematic studies and algorithmic and hardware development to enable real-time edge computing for autonomous systems, in particular, for robot path planning and localization applications. First, a low-cost, indoor, multi-camera positioning system is proposed to localize ground robots using the ArUco marker. In this system, the normalized coordinates of the marker processed by OpenCV are utilized to calculate the camera coordinates. Data-driven models are developed to establish a mapping relationship between the camera coordinates and the world coordinates of the marker. Fifty data pairs of the camera and world coordinate systems within one camera view (150 pairs in …

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Impact Of The Engineering Design Process On Rural Female Students’ Achievement And Self-Efficacy, Whitney Lowery Oberndorf Oct 2023

Impact Of The Engineering Design Process On Rural Female Students’ Achievement And Self-Efficacy, Whitney Lowery Oberndorf

Theses and Dissertations

Nearly one-fifth of U.S. children attend rural schools; however, these students have fewer opportunities for high-quality STEM learning. Rural students are also less likely to attend college and less likely to enroll in STEM majors than their urban and suburban peers. In conjunction with these factors, female students are also less likely to pursue STEM degrees and work in STEM fields. Broadening access and exposure to these areas, as well as improving female perceptions about STEM fields, is critical to closing the gap. This mixed-methods action research study was an effort to increase female achievement and self-efficacy in science and …

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Nonparametric Tests Of Interaction For The Two-Way Design With Skewed Distributions, Michael Ethan Hornsby Brown Oct 2023

Nonparametric Tests Of Interaction For The Two-Way Design With Skewed Distributions, Michael Ethan Hornsby Brown

Theses and Dissertations

The most common parametric procedure used to test main and interaction effects in the two- or more-groups factorial design is the analysis of variance (ANOVA) F test. Researchers in the behavioral and social sciences fields require statistical methods that are robust in the presence of deviations from the common parametric ANOVA assumptions of (a) normality, (b) homogeneity of variances among groups, and (c) independence of observations. When there is concern that the parametric assumptions are violated, nonparametric procedures can be employed that do not make as many initial assumptions about the parent populations. Of particular interest in the two-factor design …

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Beyond The Acronym Of Stem: Experiential Learning Professional Development For Integrative Stem Education, Christine Mitchell Oct 2023

Beyond The Acronym Of Stem: Experiential Learning Professional Development For Integrative Stem Education, Christine Mitchell

Theses and Dissertations

STEM education and integrative STEM education are increasingly popular in the K-12 domain. However, there is not a consensus on their definitions, nor a sufficient amount of instructional support to help teachers that are unfamiliar with these learning approaches. This study examined how an intentionally designed experiential professional development model impacted the application of integrative STEM practices and teachers’ perceptions of this student-centered approach. A qualitative approach allowed for an integration of various perspectives over multiple cycles of professional development, reflection, and application. Data was collected from a focus group discussion, pre- and post- classroom observations, teacher reflection journals, and …

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Strengthening Teacher Efficacy: An Improvement Science Journey To Support Teachers Post Covid-19 School Closures, Ada Odet Sindab Oct 2023

Strengthening Teacher Efficacy: An Improvement Science Journey To Support Teachers Post Covid-19 School Closures, Ada Odet Sindab

Theses and Dissertations

This dissertation presents the findings of a qualitative improvement science study aimed at identifying an effective professional development structure to enhance teacher efficacy in the context of post-COVID-19 education. The study's approach was guided by a systematic exploration of the problem, facilitated by a driver diagram, which led to the identification of three potential change ideas. Among these ideas, the second change, involving the design of a school master schedule with dedicated time for teacher planning, emerged as the initial step towards achieving the research goal. To operationalize this change, Plan-Do-Study-Act (PDSA) cycles were employed iteratively to develop a tailored …

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Unveiling The Lifeworld Of Educators’ Social Justice Journeys: A Phenomenological Investigation, Maria Rocas Halkias Oct 2023

Unveiling The Lifeworld Of Educators’ Social Justice Journeys: A Phenomenological Investigation, Maria Rocas Halkias

Theses and Dissertations

The aim of this qualitative phenomenological action research was to explore the viewpoints of educators participating in a community of practice that integrates the Universal Design for Learning (UDL) framework with culturally responsive teaching and personalized learning. The study involved six teachers from a competitive public school district in New Jersey. Data collection methods encompassed weekly reflections, researcher’s field notes, audio-recorded sessions, and interviews. The study yielded valuable insights into organizational frameworks and learning strategies that enhance educators’ ongoing reflective practices, while also advocating for districts to allocate resources to support teachers' continuous personalized professional development. Analysis of the findings …

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Robust Underwater State Estimation And Mapping, Bharat Joshi Oct 2023

Robust Underwater State Estimation And Mapping, Bharat Joshi

Theses and Dissertations

The ocean covers two-thirds of Earth, which is relatively unexplored compared to the landmass. Mapping underwater structures is essential for both archaeological and conservation purposes. This dissertation focuses on employing a robot team to map underwater structures using vision-based simultaneous localization and mapping (SLAM). The overarching goal of this research is to create a team of autonomous robots to map large underwater structures in a coordinated fashion. This requires maintaining an accurate robust pose estimate of oneself and knowing the relative pose of the other robots in the team. However, the GPS-denied and communication-constrained underwater environment, along with low visibility, …

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The Utility Of Bayesian Predictive Models To Forecast Arboviruses In The United States Of America And Territories, Maggie Suzanne Jennave Mccarter Oct 2023

The Utility Of Bayesian Predictive Models To Forecast Arboviruses In The United States Of America And Territories, Maggie Suzanne Jennave Mccarter

Theses and Dissertations

Statistical models have been utilized to understand and forecast infectious diseases across the globe. However, these models have historically been difficult to access and interpret for non-specialist audiences. This dissertation focuses on one computationally efficient model fitting method, the integrated nested LaPlace approximation approach, to forecast three arboviruses in hopes of encouraging accessibility to statistical modelling. Such accessibility could provide areas who simultaneously are most susceptible to infection, and have the least resources, an invaluable tool for informing policy and prevention decisions. The resulting models included biological, land cover, and environmental factors and produced accurate forecasts of neuroinvasive West Nile …

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The Effect Of Instructionally Embedded Cognitive Reframing On Students’ Self-Beliefs Of Their Mathematical Competence, Kelly Eyre Frazee Oct 2023

The Effect Of Instructionally Embedded Cognitive Reframing On Students’ Self-Beliefs Of Their Mathematical Competence, Kelly Eyre Frazee

Theses and Dissertations

Many students lack the ability to maintain positive perceptions of their mathematical self-belief, resulting in undesirable social, emotional, and academic outcomes. The purpose of this study was to investigate the impact of a cognitive reframing strategy on third and fourth grade math intervention students’ perceptions of their mathematical competence. This study sought to understand the impact of this emotional regulation strategy on students’ ability to autonomously regulate their negative or irrational thoughts related to their mathematics abilities, as well as the impact on their self-beliefs. Data for this study were collected through semi-structured interviews with students, student reflections, and researcher …

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Impact Of Steroid Receptor And Hormone Manipulation In Skeletal Muscle: Implications For Glucose Metabolism And Insulin Sensitivity In Male Mice, Christian Aaron Unger Oct 2023

Impact Of Steroid Receptor And Hormone Manipulation In Skeletal Muscle: Implications For Glucose Metabolism And Insulin Sensitivity In Male Mice, Christian Aaron Unger

Theses and Dissertations

This dissertation aimed to investigate the influence of modifying steroid receptor content and steroid production within skeletal muscle on glucose metabolism and insulin sensitivity within the context of diet-induced obesity. Specifically, our research focused on three key aspects:1) determining the role that skeletal muscle androgen receptor has on glucose metabolism and insulin action in male mice fed a high-fat diet and 2) determining if inducible skeletal muscle aromatase overexpression improves glucose intolerance and insulin action in male mice fed a high-fat diet and 3) determining if inducible skeletal muscle estrogen-receptor alpha (ER-α) overexpression improves glucose intolerance and insulin action in …

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Wide View And Line Filter For Enhanced Image Gradient Computation And Edge Determination, Luke Bagan Oct 2023

Wide View And Line Filter For Enhanced Image Gradient Computation And Edge Determination, Luke Bagan

Theses and Dissertations

Edge determination is a challenging yet crucial step in the object detection process for images. It is the first in a multi-step process, serving as the foundation for all subsequent operations. Its accuracy directly affects the success of any future processing techniques and final detection. The challenge of edge detection is derived from a variety of factors, including noise, image sharpness, orientation, empirical parameters, and computational complexity. Many traditional kernel-based operators excel at tackling one of these problems, but trade off their ability to handle others. For example, the popular Sobel operator uses a horizontal and vertical constant high-pass kernel. …

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A Field-Programmable Metamaterial Using Memristor As A Stable Switcher, Taekuk Hong Oct 2023

A Field-Programmable Metamaterial Using Memristor As A Stable Switcher, Taekuk Hong

Theses and Dissertations

Before the memristor was discovered, there were RLC circuits as representative passive devices. However, the fourth fundamental two-terminal circuit has been discovered by Dr. Leon Chua in 1971 and has been called a memristor. The memristor is a compound word of memory and resistor, and is an element whose resistive value is not constant and whose resistive value changes depending on the applied voltage and is recorded as a memory. It is mainly used in resistive switching and is the center of this research theme. A metamaterial is artificially created material that has never been found in nature. The theory …

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Adapting Deep Learning Techniques For Geologic Investigations Of Hydrothermal Venting At Seafloor Spreading Ridges Using Auv Surveys, Isaac Keohane Oct 2023

Adapting Deep Learning Techniques For Geologic Investigations Of Hydrothermal Venting At Seafloor Spreading Ridges Using Auv Surveys, Isaac Keohane

Theses and Dissertations

Locating hydrothermal chimney sites unlocks research into their correlations with geology, lithospheric cooling, and deep-sea biogeography at seafloor spreading ridges. High-resolution bathymetry and sidescan sonar collected by Automated Underwater Vehicles allows for chimneys, only a few meters wide and tall, and fissures, only a few meters wide, to be resolved across large areas (>100 km2). We developed a Chimney Identification Tool (CIT) that utilizes a Convolutional Neural Network (CNN), a Machine-Learning model able to classify based on shapes and textures, to identify chimneys in 1m-gridded bathymetry. We then utilized the CIT to identify many potential off-axis chimney structures at …

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Integrated Wastewater Surveillance For Sars-Cov-2 And Antibiotic Resistant Bacteria: Implications For Public Health And Environmental Management, Mirza Isanovic Oct 2023

Integrated Wastewater Surveillance For Sars-Cov-2 And Antibiotic Resistant Bacteria: Implications For Public Health And Environmental Management, Mirza Isanovic

Theses and Dissertations

While current technologies have inadvertently resulted in wastewater treatment plants (WWTPs) becoming major sources of global antibiotic resistance gene (ARG) dissemination, wastewater can be leveraged to provide vital community-level health information. This project examined both of these aspects through wastewater-based surveillance of SARS-CoV-2 and metagenomic analysis of specific ARGs collected from both activated sludge and bioaerosols. In this study, we investigated treatment steps between the influent and final treated effluent to identify the point at which viral RNA is below detection. Additionally, we examined air surrounding high turbulence treatment steps to test for the presence of SARS-CoV-2 RNA in WWTP-generated …

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A Method For Single-Particle Magnetic Particle Spectroscopy With A Nanofabricated Coplanar Stripline, Jacob Martin Oct 2023

A Method For Single-Particle Magnetic Particle Spectroscopy With A Nanofabricated Coplanar Stripline, Jacob Martin

Theses and Dissertations

Drawing from magnetic particle imaging principles, magnetic particle spectroscopy (MPS) serves as a valuable tool employing superparamagnetic iron-oxide nanoparticles (SPIONs) in diverse applications ranging from medical imaging to biosensing and the comprehensive study of magnetic particles’ characteristics. MPS leverages the nonlinear response exhibited by SPIONs when a external magnetic field is applied, enabling a highly sensitive method for examining biological systems and more. However, conventional MPS setups demand a high particle concentration of approximately 10^15 particles per liter to generate a detectable response. The first objective of this work is to simulate the dynamics of a system with the ability …

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Family Mass Murder: An Exploratory Study Of The Role Of Arson, Rachel Rori Rodriguez Spradley Oct 2023

Family Mass Murder: An Exploratory Study Of The Role Of Arson, Rachel Rori Rodriguez Spradley

Theses and Dissertations

The current literature on the use of arson in homicides analyzes the role of psychosis and mental illness, detection avoidance, and fire-setting as a precursor to violent crime. Only recently have researchers examined the connection between arson and family violence through the means of coercive control. Remaining unanswered is the role of arson in family mass murders occurring in a private residence. Using the Mass Killings in America database compiled and maintained by the Associated Press, USA Today, and Northeastern University (2006-2022), I compare characteristics of family mass murders that are arson-related to those that are non-arson-related. While family mass …

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Robocat: An Autonomous Surface Vehicle (Asv) For Near-Surface Hydrodynamic Measurements In Buoyant Plumes. Development And Case Study, Christopher Tom Papageorgiou Oct 2023

Robocat: An Autonomous Surface Vehicle (Asv) For Near-Surface Hydrodynamic Measurements In Buoyant Plumes. Development And Case Study, Christopher Tom Papageorgiou

Theses and Dissertations

The study of near surface processes in plumes and other stratified environments requires the collection of hydrodynamic and hydrographic data near the sea surface at high temporal and spatial (in the vertical) resolution. This need led to the design and development of a low-cost autonomous surface vehicle (ASV) equipped with a 5-beam acoustic Doppler current profiler (Nortek 1000 Signature) capable of measuring the vertical structure of both mean flow and turbulence dissipation rate (ε) as close as 30 cm below the sea surface. The ASV is a small catamaran-like platform propelled by four thrusters arranged in an Omni-X configuration, to …

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Interfacial Ligand Transformation On Plasmonic Nanostructures: Mechanistic Insights Unraveled By Plasmon-Enhanced Spectroscopy, Kexun Chen Oct 2023

Interfacial Ligand Transformation On Plasmonic Nanostructures: Mechanistic Insights Unraveled By Plasmon-Enhanced Spectroscopy, Kexun Chen

Theses and Dissertations

We employ surface-enhanced Raman scattering (SERS) as an in situ spectroscopic tool, in conjunction with density functional theory (DFT) calculations, to develop a detailed mechanistic understanding of plasmon-driven photocatalytic reactions and heterogeneous transfer hydrogenolysis reactions of molecular adsorbates on metallic nanostructure surfaces. The excitation and decay of plasmon resonances in metallic nanostructures give rise to intriguing photophysical and photochemical effects, including the generation of hot charge carriers, local field enhancements, and photothermal transduction. These effects can be intentionally harnessed to drive or enhance interfacial molecular transformations along unconventional reaction pathways. The first part of the thesis focuses on the plasmon-driven …

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Computerized Psychological Testing: Designing And Developing An Efficient Test Suite Using Hci And Reinforcement Learning Techniques, William Henry Hoskins Oct 2023

Computerized Psychological Testing: Designing And Developing An Efficient Test Suite Using Hci And Reinforcement Learning Techniques, William Henry Hoskins

Theses and Dissertations

In this work we discuss the design and development of the Carolina Automated Reading Evaluation (CARE), created to facilitate the finding of deficits in the reading ability of children from four to nine years of age. Designed to automate the process of screening for reading deficits, the CARE is an interactive computer-based tool that helps eliminate the need for one-on-one evaluations of pupils to detect dyslexia and other reading deficits and facilitates the creation of new reading tests within the platform. While other tests collect specific data points in order to determine whether a pupil has dyslexia, they typically focus …

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A Globalized Optimization Schema For Automated Fiber Placement Processing Parameters, Matthew John Godbold Oct 2023

A Globalized Optimization Schema For Automated Fiber Placement Processing Parameters, Matthew John Godbold

Theses and Dissertations

Automated Fiber Placement is an advanced manufacturing technique for industrial-scale composite structures. Advanced robotics coupled with composite manufacturing results in faster and more consistent results than previously obtained through hand layup. The complexity and interconnectedness of the automated fiber placement process provides a difficult challenge for traditional modeling techniques. Modeling within automated fiber placement currently utilizes physics-based modeling to inform the translation of a design to a manufacturing plan. The intricacy of the automated fiber placement process dictates that attempts at modeling or optimizing these processes are often limited in their scope. Physics-based modeling for manufacturing typically involves numerous interacting …

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The Role Of Insulin Signaling In Controlling Oogenesis In Drosophila Melanogaster, Tancia W. Bradshaw Oct 2023

The Role Of Insulin Signaling In Controlling Oogenesis In Drosophila Melanogaster, Tancia W. Bradshaw

Theses and Dissertations

Adult stem cell activity responds to organismal nutrient status to maintain and support tissue homeostasis. Despite the intricate relationship between dietary input, adipose tissue and peripheral organ function, we are at the tip of the iceberg regarding our understanding of the cellular and molecular mechanisms underlying adipose communication to other tissues. The Drosophila ovary receives nutritional signals from the fat body with multiple nutrient-sensing pathways functioning in adipocytes to control distinct stages of oogenesis. Insulin/insulin-like growth factor signaling (IIS) within adult adipocytes remotely controls oocyte production at distinct stages of oogenesis. The PI3K/Akt1 axis in adipocytes promotes germline stem cell …

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Design Of A Test Frame And Its Corresponding Test Methods For A Deployable Composite Boom, William Luther Montgomery Oct 2023

Design Of A Test Frame And Its Corresponding Test Methods For A Deployable Composite Boom, William Luther Montgomery

Theses and Dissertations

Deployable composite booms (DCB) are an advanced class of support beams growing in applications including solar collectors and solar sails. DCBs can be coiled or folded into a compact footprint and the ability to be deployed, and in some design, concepts redeployed, making them optimal components for aerospace where weight and volume are finite resources. DCBs are a cutting-edge technology that has yet to be perfected with a need for longer booms with increased stiffnesses to accommodate the latest proposed designs. Atomic-6 has proposed a 16-foot boom manufactured using an autoclave process which aims to reach the goal of producing …

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Uav-Deployable Sensing Network For Rapid Structural Health Monitoring, Joud Satme Oct 2023

Uav-Deployable Sensing Network For Rapid Structural Health Monitoring, Joud Satme

Theses and Dissertations

Natural disasters and extreme weather events pose significant threats to the structural integrity and safety of civil and environmental infrastructure. In this context, Structural Health Monitoring (SHM) emerges as a pivotal discipline, intersecting engineering, technology, and disaster resilience. SHM's mission is to provide real-time, data-driven insights into the condition of critical infrastructure, encompassing bridges, buildings, dams, and transportation networks. These systems not only expedite assessment, but also wield substantial influence in mitigating catastrophic disasters. As the frequency and intensity of extreme weather conditions escalate due to climate change, the need for robust and proactive SHM strategies becomes increasingly apparent. Moreover, …

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Uncertainty Quantification And Constraint Of Chemical Kinetic Mechanisms Based On Flow Reactor Experiments, Ana Victoria Kock Oct 2023

Uncertainty Quantification And Constraint Of Chemical Kinetic Mechanisms Based On Flow Reactor Experiments, Ana Victoria Kock

Theses and Dissertations

The chemical kinetic model is one of key sub-models for computational fluid dynamics (CFD) simulation for optimizing and designing various combustors/engines. Detailed chemical kinetic models can consist of hundreds of species and thousands of elementary reaction steps. Considering the complexity in these detailed chemical kinetic models, it is important to quantify and minimize the uncertainties in the kinetic parameters. The uncertainties in the kinetic models can then be compared to uncertainties tied to experimental measurements. This approach has been frequently applied for relatively simple combustion parameters (e.g., laminar flame speed, ignition delay time), however it has not been well utilized …

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Supporting Self-Efficacy Through Mindset: The Impact Of A Growth Mindset Innovation On The Self-Efficacy Of Middle School Students In A Teen Leadership Course, Shannon J. Kojah Oct 2023

Supporting Self-Efficacy Through Mindset: The Impact Of A Growth Mindset Innovation On The Self-Efficacy Of Middle School Students In A Teen Leadership Course, Shannon J. Kojah

Theses and Dissertations

Understanding how the disposition of a student interacts with or influences a behavior plays a central role in cognitive theories. Middle school years have been accounted for as being difficult, awkward, and sometimes downright stressful. The overall purpose of this action research was to examine the impact of a growth mindset innovation using a digital portfolio on the self-efficacy of middle school students in a leadership course. The research questions were: (1) How can a growth mindset intervention using a digital portfolio support self-efficacy improvement in middle school students taking a leadership course? (2) What are students’ perceptions on their …

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